Previous courses at NBIS

Omics Integration and Systems Biology

2024-10-14 to 2024-10-18 (5 days)
Deadline 2024-09-16
Lund
More infoThe aim of this course is to provide an integrated view of data-driven hypothesis generation through machine learning integration methods, biological graph / network analysis and genome-scale metabolic models. A general description of different methods for analyzing different omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing key methods and pitfalls in their integration.

FAIR training material by Design

2024-09-18 to 2024-09-19 (2 days)
Deadline 2024-08-23
Uppsala
More info# FAIR Training This 2 days course is based on the FAIR training handbook and 10 simple rules to make material FAIR publication. All sessions are structured in a way that complement each other aiming to introduce participants with a theoretical & hands-on approach of how to design FAIR training material. Activities are intended to increase the technical skills and critical thinking during the development of a new training course. From A to Z participants are going to be challenged to work in a group to build a FAIR lesson on a topic to be presented at the end of the course. Come inspired!

Epigenomics Data Analysis: from Bulk to Single Cell

2024-09-16 to 2024-09-20 (5 days)
Deadline 2024-08-28
Online
More infoThe aim of this workshop is to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics data. The online teaching includes lectures, programming tutorials and interactive group sessions. This workshop is run by the National Bioinformatics Infrastructure Sweden (NBIS).

RaukR, Advanced R for Bioinformatics

2024-06-10 to 2024-06-20 (11 days)
Visby
More infoIn Life Sciences and Bioinformatics, the R programming language is pivotal for data transformation, statistical analyses, and crafting publication-ready visualizations. This workshop goes beyond the basics, offering participants a comprehensive understanding of the R ecosystem. We explore best coding practices, code profiling, delve into data wrangling intricacies, emphasize reproducible research and hands-on development of web apps using R. **Course materials** Course materials will be made available at the beginning of the workshop and will remain open and publicly accessible online for at least a year. You can check out the materials from 2023. **Sessions** Our daily schedule begins with a morning session from 08:30 to 12:30, starting with breakfast from 08:30 to 09:00 and a 30-minute break at 10:30. Lunchtime is from 12:30 to 13:30. The afternoon session follows, running from 13:30 to 17:00, with a 30-minute coffee break at 15:00. Please note that due to varying time zones, online guest lectures might occur after 17:00. Throughout the majority of sessions, our instructors and teaching assistants will be available to aid you with practical exercises and answer any queries you may have. **Selection** We can accomodate ~42 participants. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender and geographical balance. We do accept international applicants, but applicants affiliated to a Swedish institution are prioritized. Once the registration period concludes, we will review your application and notify you of our decision. If accepted, you will have three working days to confirm your participation. Failure to do so would imply your inability to attend, and we will proceed accordingly. Once you confirmed, our course administrator will proceed with invoicing. **Fee** The fee for academic participants is 8000 SEK subsidized by academic grants. Fee for non-academic participants is 16 000 SEK. **Warning** If you register and are admitted but fail to attend without a valid reason (sickness or urgent family matter), you will still be liable for the entire fee. **More info about the fee** _Included in the fee_ - Participation in lectures and workshops - Mingle reception with snacks and drinks - Daily breakfast/coffee, lunch and afternoon coffee during the workshop - One official course dinner - Surprise social activities _Not included in the fee_ - Accomodation - Travel to and from Visby - Daily dinners

Snakemake BYOC (bring-your-own-code) workshop

2024-05-27 to 2024-05-29 (3 days)
Deadline 2024-04-14
Online
More infoAs data analysis projects grow and change over time, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake Links to an external site. can be used to set up, perform and monitor defined sequences of computational tasks ("workflows"), thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well-suited for bioinformatic workflows. The NBIS Tools for reproducible research course is held twice a year and provides both an introduction to Snakemake and a tutorial on how to use it. This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as Bash, R or Python into a Snakemake workflow, OR B) apply more advanced techniques to their existing Snakemake workflows. **Audience** Workshop open for PhD students (prioritized), postdocs, researchers and others who have previously participated in the [NBIS Tools for reproducible research course](https://uppsala.instructure.com/courses/82575) or with demonstrated experience in writing Snakemake workflows. **Fee** This online training event has no fee. However, if you confirm your participation but do not do so (no-show) you will be invoiced 2,000 SEK. Please note that NBIS cannot invoice individuals. By accepting to participate in the workshop, you will be agreeing to follow the NBIS Training Code of Conduct. Due to limited space, the workshop can accommodate a maximum of 12 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender- and geographical balance. This is a national workshop. The workshop is open for PhD students, postdocs, group leaders and core facility staff. We do accept applications from other countries, but give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits; however, the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with their home department before submitting a workshop application in order to establish whether the workshop is valid for formal credits or not.

Neural Networks and Deep Learning

2024-05-20 to 2024-05-24 (5 days)
Deadline 2024-04-10
Uppsala
More infoThis course will give an introduction to the concept of Neural Networks (NN) and Deep Learning. Topics covered will include: NN building blocks, including concepts such as neurons, activation functions, loss functions, gradient descent and back-propagation; Convolutional Neural Networks; Recursive Neural Networks; Autoencoders; and best practices when designing NNs,

Introduction to Biostatistics and Machine Learning

2024-04-22 to 2024-04-26 (5 days)
Deadline 2024-03-24
Uppsala
More infoNational course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods. It would also suit those already applying biostatistical methods but have never got a chance to truly understand the basic statistical concepts, such as the commonly misinterpreted p-value. **Fees** 2000 SEK includes lunches and coffee **Travel info** For travel information and hotel bookings see Travel Information page **Course credits** - Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate. - Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department. **Selection criteria** - Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance. - NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.

NBIS/ELIXIR-SE Tools for Reproducible research

2024-04-22 to 2024-04-26 (5 days)
Deadline 2024-03-18
More infoThis course aims to help researchers make their computational analysis more reproducible. One of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Reproducible research not only leads to proper scientific conduct, but also enables other researchers to build upon previous work. Most importantly, the person who organizes their work with reproducibility in mind will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

Programming Formalisms

2024-04-22 to 2024-04-26 (5 days)
Deadline 2024-04-18
Online
More infoThis course aims to give life scientists, bioinformaticians, and other scientists with some experience in programming and scripting an understanding of the underlying principles of software development, design, and programming. The course aims to strengthen the understanding of more advanced programming concepts, ability to produce more reusable scripts through modular programming and to enable a better understanding of how to evaluate a script or programs performance.

Data visualization in R

2024-04-16 to 2024-04-18 (3 days)
Deadline 2024-03-22
Stockholm
More infoThis is a nation-wide course open for people who are interested in learning to plot using different packages in R. The course is organized by [NBIS](https://nbis.se/) (ELIXIR-SE). - This course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. - A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. **AUDIENCE** National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. **FEE** The fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. Note that travel and accommodation is not included in the fee and must be arranged by the participants.

A primer on cryo-EM data processing using cryoSPARC on BerzeLiUs

2024-04-15 to 2024-04-16 (2 days)
Deadline 2024-04-07
Online
More infoThis course will introduce how to use Berzelius compute cluster for cryo-EM data processing. We will process the beta- galactosidase dataset, known from the Relion tutorials, but applying cryoSPARC on BerzeLiUs, as implemented by the PReSTO team.

Introduction to bioinformatics using NGS data

2024-03-18 to 2024-03-22 (5 days)
Deadline 2024-02-05
Online
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

RNAseq data analysis

2024-03-11 to 2024-03-15 (5 days)
Deadline 2024-02-19
Uppsala
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of lectures and computer practicals.This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of online lectures and computer practicals. **Audience** National workshop open for PhD students, postdocs, researchers and other employees within Swedish academia. This course is run by the National Bioinformatics Infrastructure Sweden (NBIS). **Fee** 1800 SEK (for academic participants, please contact us for more information on the non-academic fee). Please note that NBIS cannot invoice individuals. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. **Note that travel and accommodation is not included in the fee and must be arranged by the participants. ** **Precourse material** Please read carefully the [Pre-course instructions](https://uppsala.instructure.com/courses/77082/pages/pre-course-instructions) material before the course start. If you have any problems with pre-course installations, please ask your questions in [Installation and pre-course related issues](https://uppsala.instructure.com/courses/77082/discussion_topics/238629). **Youtube videos** [RNASeq workshop videos](https://www.youtube.com/watch?v=VKhByCYa1R0&list=PLBsJUKzoJTHSGFT1f3WkU7tojmSLPvWVW)

Single Cell RNAseq Data Analysis

2024-02-12 to 2024-02-16 (5 days)
Deadline 2024-01-17
Uppsala
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data via a series of online lectures and computer practicals. The total course duration is 5 days, including the lectures and practical exercises that will be held on site in Stockholm. **Course fee**: This workshop has a fee of 2000kr and will be invoiced to the selected participants (Please note that NBIS cannot invoice individuals). Applications without complete invoice information will not be considered. Course fees cover all coffee breaks, all lunches and 1 course dinner. This is a national course. The course is open for PhD students, postdocs, group leaders and core facility staff within all Swedish universities. Even if we do accept application from other countries, we give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits, however the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. Practical exercises will be performed using either R or Python, so we only accept students that fulfil the entry requirements below. Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.

DDLS Biomarker Discovery: from theory to real world examples

2023-12-06 to 2023-12-08 (3 days)
Deadline 2023-10-30
Stockholm
More infoThe main purpose of this workshop is to provide a good overview of biomarkers and biomarker studies. This workshop will explore recent research, showcasing diverse biomarker applications within clinical trials. Methods employed to identify biomarkers through various omics datasets will be reviewed. Participants will engage in discussion on biomarker studies and data analysis exercises that encompass approaches like machine learning methods and other integrative omics strategies used in biomarker discovery.

Snakemake BYOC (bring-your-own-code) workshop

2023-12-04 to 2023-12-06 (3 days)
Deadline 2023-10-29
Online
More infoAs data analysis projects grow and change over time, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake Links to an external site. can be used to set up, perform and monitor defined sequences of computational tasks ("workflows"), thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well-suited for bioinformatic workflows. The NBIS Tools for reproducible research course is held twice a year and provides both an introduction to Snakemake and a tutorial on how to use it. This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as Bash, R or Python into a Snakemake workflow, OR B) apply more advanced techniques to their existing Snakemake workflows. **Audience** Workshop open for PhD students (prioritized), postdocs, researchers and others who have previously participated in the [NBIS Tools for reproducible research course](https://uppsala.instructure.com/courses/82575) or with demonstrated experience in writing Snakemake workflows. **Fee** This online training event has no fee. However, if you confirm your participation but do not do so (no-show) you will be invoiced 2,000 SEK. Please note that NBIS cannot invoice individuals. By accepting to participate in the workshop, you will be agreeing to follow the NBIS Training Code of Conduct. Due to limited space, the workshop can accommodate a maximum of 12 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender- and geographical balance. This is a national workshop. The workshop is open for PhD students, postdocs, group leaders and core facility staff. We do accept applications from other countries, but give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits; however, the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with their home department before submitting a workshop application in order to establish whether the workshop is valid for formal credits or not.

Programming Formalisms

2023-11-27 to 2023-12-01 (5 days)
Deadline 2023-11-24
Online
More infoThis course aims to give life scientists, bioinformaticians, and other scientists with some experience in programming and scripting an understanding of the underlying principles of software development, design, and programming. The course aims to strengthen the understanding of more advanced programming concepts, ability to produce more reusable scripts through modular programming and to enable a better understanding of how to evaluate a script or programs performance.

NBIS/ELIXIR-SE Tools for Reproducible research

2023-11-20 to 2023-11-24 (5 days)
Deadline 2023-10-20
More infoThis course aims to help researchers make their computational analysis more reproducible. One of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Reproducible research not only leads to proper scientific conduct, but also enables other researchers to build upon previous work. Most importantly, the person who organizes their work with reproducibility in mind will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

Introduction to bioinformatics using NGS data

2023-11-13 to 2023-11-17 (5 days)
Deadline 2023-10-04
Uppsala
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

Population genomics in practice

2023-11-06 to 2023-11-10 (5 days)
Deadline 2023-09-30
Uppsala
More infoThe aim of this workshop is to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises, with a focus on the practical aspects of analyses. Whereas lectures introduce some background theory, their primary aim is to set the stage for accompanying exercises.

R Programming Foundations for Data Analysis

2023-10-23 to 2023-10-27 (5 days)
Deadline 2023-09-20
Uppsala
More infoThis course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work. The course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting emphasizing the parts useful for life scientists. After introductory lectures on good programming practices, basic software design theory and a brief overview of R, we will delve into programming.

Python programming with applications to bioinformatics

2023-10-09 to 2023-10-13 (5 days)
Deadline 2023-09-08
Uppsala, Umeå
More infoThis course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. The course consists of a mix of presentations, demonstrations, and practical exercises (either in the lab with assistants or on your own). Prior to the course, you can read a companion book “Programming Python”, or “Learning Python”. Such a book will also prove useful for your programming tasks, after the course is over. It is however not required, and material will be presented in class.

Epigenomics Data Analysis: from Bulk to Single Cell

2023-09-18 to 2023-09-22 (5 days)
Deadline 2023-09-04
Online
More infoThe aim of this workshop is to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics data. The online teaching includes lectures, programming tutorials and interactive group sessions. This workshop is run by the National Bioinformatics Infrastructure Sweden (NBIS).

ELIXIR-GOBLET Train-the-Trainer

2023-09-13 to 2023-09-15 (3 days)
Deadline 2023-08-21
Uppsala
More infoThis course offers guidance, ideas and tips for designing training/teaching, development and delivery on training activities, all based on research-driven educational principles. This course will cover 4 main topics: - Learning principles and how they apply to training and teaching - Design and plan session, course, materials - Teaching techniques to enhance learner engagement and participation - Assessment and feedback in training and teaching Note! The course is highly interactive and hence it is important that you, as a participant, actively contribute to all sessions and elements of the course.

RaukR, Advanced R for Bioinformatics

2023-06-11 to 2023-06-22 (12 days)
Visby
More infoIn Life Sciences and Bioinformatics, the R programming language is pivotal for data transformation, statistical analyses, and crafting publication-ready visualizations. This workshop goes beyond the basics, offering participants a comprehensive understanding of the R ecosystem. We explore best coding practices, code profiling, delve into data wrangling intricacies, emphasize reproducible research and hands-on development of web apps using R. **Course materials** Course materials will be made available at the beginning of the workshop and will remain open and publicly accessible online for at least a year. You can check out the materials from 2023. **Sessions** Our daily schedule begins with a morning session from 08:30 to 12:30, starting with breakfast from 08:30 to 09:00 and a 30-minute break at 10:30. Lunchtime is from 12:30 to 13:30. The afternoon session follows, running from 13:30 to 17:00, with a 30-minute coffee break at 15:00. Please note that due to varying time zones, online guest lectures might occur after 17:00. Throughout the majority of sessions, our instructors and teaching assistants will be available to aid you with practical exercises and answer any queries you may have. **Selection** We can accomodate ~42 participants. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender and geographical balance. We do accept international applicants, but applicants affiliated to a Swedish institution are prioritized. Once the registration period concludes, we will review your application and notify you of our decision. If accepted, you will have three working days to confirm your participation. Failure to do so would imply your inability to attend, and we will proceed accordingly. Once you confirmed, our course administrator will proceed with invoicing. **Fee** The fee for academic participants is 8000 SEK subsidized by academic grants. Fee for non-academic participants is 16 000 SEK. **Warning** If you register and are admitted but fail to attend without a valid reason (sickness or urgent family matter), you will still be liable for the entire fee. **More info about the fee** _Included in the fee_ - Participation in lectures and workshops - Mingle reception with snacks and drinks - Daily breakfast/coffee, lunch and afternoon coffee during the workshop - One official course dinner - Surprise social activities _Not included in the fee_ - Accomodation - Travel to and from Visby - Daily dinners

NBIS/ELIXIR-SE Tools for Reproducible research

2023-04-24 to 2023-04-28 (5 days)
Online
More infoThis course aims to help researchers make their computational analysis more reproducible. One of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Reproducible research not only leads to proper scientific conduct, but also enables other researchers to build upon previous work. Most importantly, the person who organizes their work with reproducibility in mind will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

Introduction to Biostatistics and Machine Learning

2023-04-24 to 2023-04-28 (5 days)
Uppsala
More infoNational course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods. It would also suit those already applying biostatistical methods but have never got a chance to truly understand the basic statistical concepts, such as the commonly misinterpreted p-value. **Fees** 2000 SEK includes lunches and coffee **Travel info** For travel information and hotel bookings see Travel Information page **Course credits** - Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate. - Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department. **Selection criteria** - Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance. - NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.

Introduction to Data Management Practices

2023-04-18 to 2023-04-20 (3 days)
Uppsala
More infoThis course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Data visualization in R

2023-04-17 to 2023-04-19 (3 days)
Lund
More infoThis is a nation-wide course open for people who are interested in learning to plot using different packages in R. The course is organized by [NBIS](https://nbis.se/) (ELIXIR-SE). - This course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. - A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. **AUDIENCE** National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. **FEE** The fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. Note that travel and accommodation is not included in the fee and must be arranged by the participants.

Neural Networks and Deep Learning

2023-03-20 to 2023-03-24 (5 days)
Uppsala
More infoThis course will give an introduction to the concept of Neural Networks (NN) and Deep Learning. Topics covered will include: NN building blocks, including concepts such as neurons, activation functions, loss functions, gradient descent and back-propagation; Convolutional Neural Networks; Recursive Neural Networks; Autoencoders; and best practices when designing NNs,

RNAseq data analysis

2023-03-13 to 2023-03-16 (4 days)
Uppsala
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of lectures and computer practicals.This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of online lectures and computer practicals. **Audience** National workshop open for PhD students, postdocs, researchers and other employees within Swedish academia. This course is run by the National Bioinformatics Infrastructure Sweden (NBIS). **Fee** 1800 SEK (for academic participants, please contact us for more information on the non-academic fee). Please note that NBIS cannot invoice individuals. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. **Note that travel and accommodation is not included in the fee and must be arranged by the participants. ** **Precourse material** Please read carefully the [Pre-course instructions](https://uppsala.instructure.com/courses/77082/pages/pre-course-instructions) material before the course start. If you have any problems with pre-course installations, please ask your questions in [Installation and pre-course related issues](https://uppsala.instructure.com/courses/77082/discussion_topics/238629). **Youtube videos** [RNASeq workshop videos](https://www.youtube.com/watch?v=VKhByCYa1R0&list=PLBsJUKzoJTHSGFT1f3WkU7tojmSLPvWVW)

Omics Integration and Systems Biology

2023-02-08 to 2023-02-10 (3 days)
Online
More infoThe aim of this course is to provide an integrated view of data-driven hypothesis generation through machine learning integration methods, biological graph / network analysis and genome-scale metabolic models. A general description of different methods for analyzing different omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing key methods and pitfalls in their integration.

Introduction to bioinformatics using NGS data

2023-02-06 to 2023-02-10 (5 days)
Uppsala
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

Single Cell RNAseq Data Analysis

2023-01-30 to 2023-02-03 (5 days)
Solna
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data via a series of online lectures and computer practicals. The total course duration is 5 days, including the lectures and practical exercises that will be held on site in Stockholm. **Course fee**: This workshop has a fee of 2000kr and will be invoiced to the selected participants (Please note that NBIS cannot invoice individuals). Applications without complete invoice information will not be considered. Course fees cover all coffee breaks, all lunches and 1 course dinner. This is a national course. The course is open for PhD students, postdocs, group leaders and core facility staff within all Swedish universities. Even if we do accept application from other countries, we give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits, however the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. Practical exercises will be performed using either R or Python, so we only accept students that fulfil the entry requirements below. Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.

Tools for Reproducible Research

2022-11-21 to 2022-11-25 (5 days)
Online
More infoOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis, e.g. bioinformatics or computational biology, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study, all the code and/or computational notebooks needed to produce results from the raw data, and the computational environment or a complete description thereof. Reproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

Programming Formalisms

2022-10-24 to 2022-10-28 (5 days)
Online
More infoThis course aims to give life scientists, bioinformaticians, and other scientists with some experience in programming and scripting an understanding of the underlying principles of software development, design, and programming. The course aims to strengthen the understanding of more advanced programming concepts, ability to produce more reusable scripts through modular programming and to enable a better understanding of how to evaluate a script or programs performance.

Epigenomics Data Analysis: from Bulk to Single Cell

2022-10-24 to 2022-10-28 (5 days)
Online
More infoThe aim of this workshop is to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics data. The online teaching includes lectures, programming tutorials and interactive group sessions. This workshop is run by the National Bioinformatics Infrastructure Sweden (NBIS).

Introduction to Data Management Practices

2022-10-11 to 2022-10-13 (3 days)
Solna
More infoThis course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Python programming with applications to bioinformatics

2022-10-10 to 2022-10-14 (5 days)
Online
More infoThis course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. The course consists of a mix of presentations, demonstrations, and practical exercises (either in the lab with assistants or on your own). Prior to the course, you can read a companion book “Programming Python”, or “Learning Python”. Such a book will also prove useful for your programming tasks, after the course is over. It is however not required, and material will be presented in class.

Introduction to bioinformatics using NGS data

2022-09-26 to 2022-09-30 (5 days)
Uppsala
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

Introduction to Biostatistics and Machine Learning

2022-09-12 to 2022-09-16 (5 days)
Uppsala
More infoNational course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods. It would also suit those already applying biostatistical methods but have never got a chance to truly understand the basic statistical concepts, such as the commonly misinterpreted p-value. **Fees** 2000 SEK includes lunches and coffee **Travel info** For travel information and hotel bookings see Travel Information page **Course credits** - Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate. - Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department. **Selection criteria** - Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance. - NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.

Snakemake BYOC (bring-your-own-code) workshop

2022-08-31 to 2022-09-02 (3 days)
Online
More infoAs data analysis projects grow and change over time, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake Links to an external site. can be used to set up, perform and monitor defined sequences of computational tasks ("workflows"), thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well-suited for bioinformatic workflows. The NBIS Tools for reproducible research course is held twice a year and provides both an introduction to Snakemake and a tutorial on how to use it. This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as Bash, R or Python into a Snakemake workflow, OR B) apply more advanced techniques to their existing Snakemake workflows. **Audience** Workshop open for PhD students (prioritized), postdocs, researchers and others who have previously participated in the [NBIS Tools for reproducible research course](https://uppsala.instructure.com/courses/82575) or with demonstrated experience in writing Snakemake workflows. **Fee** This online training event has no fee. However, if you confirm your participation but do not do so (no-show) you will be invoiced 2,000 SEK. Please note that NBIS cannot invoice individuals. By accepting to participate in the workshop, you will be agreeing to follow the NBIS Training Code of Conduct. Due to limited space, the workshop can accommodate a maximum of 12 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender- and geographical balance. This is a national workshop. The workshop is open for PhD students, postdocs, group leaders and core facility staff. We do accept applications from other countries, but give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits; however, the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with their home department before submitting a workshop application in order to establish whether the workshop is valid for formal credits or not.

Spatial omics data analysis

2022-08-29 to 2022-09-02 (5 days)
Online
More infoThis workshop provides resources to advanced tools for analysis of spatial datasets via a series of online lectures and computer practicals.

RaukR, Advanced R for Bioinformatics

2022-06-13 to 2022-06-17 (5 days)
Online
More infoIn Life Sciences and Bioinformatics, the R programming language is pivotal for data transformation, statistical analyses, and crafting publication-ready visualizations. This workshop goes beyond the basics, offering participants a comprehensive understanding of the R ecosystem. We explore best coding practices, code profiling, delve into data wrangling intricacies, emphasize reproducible research and hands-on development of web apps using R. **Course materials** Course materials will be made available at the beginning of the workshop and will remain open and publicly accessible online for at least a year. You can check out the materials from 2023. **Sessions** Our daily schedule begins with a morning session from 08:30 to 12:30, starting with breakfast from 08:30 to 09:00 and a 30-minute break at 10:30. Lunchtime is from 12:30 to 13:30. The afternoon session follows, running from 13:30 to 17:00, with a 30-minute coffee break at 15:00. Please note that due to varying time zones, online guest lectures might occur after 17:00. Throughout the majority of sessions, our instructors and teaching assistants will be available to aid you with practical exercises and answer any queries you may have. **Selection** We can accomodate ~42 participants. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender and geographical balance. We do accept international applicants, but applicants affiliated to a Swedish institution are prioritized. Once the registration period concludes, we will review your application and notify you of our decision. If accepted, you will have three working days to confirm your participation. Failure to do so would imply your inability to attend, and we will proceed accordingly. Once you confirmed, our course administrator will proceed with invoicing. **Fee** The fee for academic participants is 8000 SEK subsidized by academic grants. Fee for non-academic participants is 16 000 SEK. **Warning** If you register and are admitted but fail to attend without a valid reason (sickness or urgent family matter), you will still be liable for the entire fee. **More info about the fee** _Included in the fee_ - Participation in lectures and workshops - Mingle reception with snacks and drinks - Daily breakfast/coffee, lunch and afternoon coffee during the workshop - One official course dinner - Surprise social activities _Not included in the fee_ - Accomodation - Travel to and from Visby - Daily dinners

ELIXIR-GOBLET Train-the-Trainer

2022-05-10 to 2022-05-13 (4 days)
Online
More infoThis course offers guidance, ideas and tips for designing training/teaching, development and delivery on training activities, all based on research-driven educational principles. This course will cover 4 main topics: - Learning principles and how they apply to training and teaching - Design and plan session, course, materials - Teaching techniques to enhance learner engagement and participation - Assessment and feedback in training and teaching Note! The course is highly interactive and hence it is important that you, as a participant, actively contribute to all sessions and elements of the course.

Data visualization in R

2022-04-27 to 2022-04-29 (3 days)
Lund
More infoThis is a nation-wide course open for people who are interested in learning to plot using different packages in R. The course is organized by [NBIS](https://nbis.se/) (ELIXIR-SE). - This course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. - A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. **AUDIENCE** National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. **FEE** The fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. Note that travel and accommodation is not included in the fee and must be arranged by the participants.

NBIS/ELIXIR-SE Tools for Reproducible research

2022-04-25 to 2022-04-29 (5 days)
Online
More infoThis course aims to help researchers make their computational analysis more reproducible. One of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Reproducible research not only leads to proper scientific conduct, but also enables other researchers to build upon previous work. Most importantly, the person who organizes their work with reproducibility in mind will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

Introduction to Data Management Practices

2022-04-05 to 2022-04-07 (3 days)
Uppsala
More infoThis course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Introduction to bioinformatics using NGS data

2022-03-28 to 2022-04-01 (5 days)
Online
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

Single Cell RNAseq Data Analysis

2022-02-02 to 2022-02-04 (3 days)
Solna
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data via a series of online lectures and computer practicals. The total course duration is 5 days, including the lectures and practical exercises that will be held on site in Stockholm. **Course fee**: This workshop has a fee of 2000kr and will be invoiced to the selected participants (Please note that NBIS cannot invoice individuals). Applications without complete invoice information will not be considered. Course fees cover all coffee breaks, all lunches and 1 course dinner. This is a national course. The course is open for PhD students, postdocs, group leaders and core facility staff within all Swedish universities. Even if we do accept application from other countries, we give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits, however the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. Practical exercises will be performed using either R or Python, so we only accept students that fulfil the entry requirements below. Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.

Neural Networks and Deep Learning

2022-01-17 to 2022-01-21 (5 days)
Uppsala
More infoThis course will give an introduction to the concept of Neural Networks (NN) and Deep Learning. Topics covered will include: NN building blocks, including concepts such as neurons, activation functions, loss functions, gradient descent and back-propagation; Convolutional Neural Networks; Recursive Neural Networks; Autoencoders; and best practices when designing NNs,

FAIR principles in life science research practice

2021-12-09 to 2021-12-09 (1 days)
Online
More infoThis online workshop will showcase how to put the FAIR principles into practice and is specifically designed to cater to life science researchers at all career stages. It is organised by SciLifeLab Data Centre and NBIS and include international speakers, presenters from the SciLifeLab community and optional hands-on exercises guided by experts from NBIS and SciLifeLab Data Centre.

Introduction to bioinformatics using NGS data

2021-11-22 to 2021-11-26 (5 days)
Online
More infoThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures.

Tools for Reproducible Research

2021-11-15 to 2021-11-19 (5 days)
Online
More infoOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis, e.g. bioinformatics or computational biology, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study, all the code and/or computational notebooks needed to produce results from the raw data, and the computational environment or a complete description thereof. Reproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self!

RNAseq data analysis

2021-11-15 to 2021-11-19 (5 days)
Online
More infoThis workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of lectures and computer practicals.This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of online lectures and computer practicals. **Audience** National workshop open for PhD students, postdocs, researchers and other employees within Swedish academia. This course is run by the National Bioinformatics Infrastructure Sweden (NBIS). **Fee** 1800 SEK (for academic participants, please contact us for more information on the non-academic fee). Please note that NBIS cannot invoice individuals. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. **Note that travel and accommodation is not included in the fee and must be arranged by the participants. ** **Precourse material** Please read carefully the [Pre-course instructions](https://uppsala.instructure.com/courses/77082/pages/pre-course-instructions) material before the course start. If you have any problems with pre-course installations, please ask your questions in [Installation and pre-course related issues](https://uppsala.instructure.com/courses/77082/discussion_topics/238629). **Youtube videos** [RNASeq workshop videos](https://www.youtube.com/watch?v=VKhByCYa1R0&list=PLBsJUKzoJTHSGFT1f3WkU7tojmSLPvWVW)

Epigenomics Data Analysis: from Bulk to Single Cell

2021-10-25 to 2021-10-29 (5 days)
Online
More infoThe aim of this workshop is to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics data. The online teaching includes lectures, programming tutorials and interactive group sessions. This workshop is run by the National Bioinformatics Infrastructure Sweden (NBIS).

Python programming with applications to bioinformatics

2021-10-18 to 2021-10-22 (5 days)
Online
More infoThis course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. The course consists of a mix of presentations, demonstrations, and practical exercises (either in the lab with assistants or on your own). Prior to the course, you can read a companion book “Programming Python”, or “Learning Python”. Such a book will also prove useful for your programming tasks, after the course is over. It is however not required, and material will be presented in class.

Introduction to Data Management Practices

2021-10-12 to 2021-10-14 (3 days)
Online
More infoThis course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Introduction to Biostatistics and Machine Learning

2021-10-04 to 2021-10-08 (5 days)
Online
More infoNational course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods. It would also suit those already applying biostatistical methods but have never got a chance to truly understand the basic statistical concepts, such as the commonly misinterpreted p-value. **Fees** 2000 SEK includes lunches and coffee **Travel info** For travel information and hotel bookings see Travel Information page **Course credits** - Upon successful course completion, assessed based on active participation in all course session, we will issue a course certificate. - Please note that we are not able to provide any formal university credits (högskolepoäng). Many universities, however, recognize the attendance in our courses, and award 1.5 HPs, corresponding to 40h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department. **Selection criteria** - Due to limited space the course can accommodate maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance. - NBIS prioritises academic participants (students, staff, affiliated researchers) in Sweden. We can accept participants from industry and/or outside Sweden if we have seats available and the requirements criteria are met.

Snakemake BYOC (bring-your-own-code) workshop

2021-09-29 to 2021-10-01 (3 days)
Online
More infoAs data analysis projects grow and change over time, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake Links to an external site. can be used to set up, perform and monitor defined sequences of computational tasks ("workflows"), thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well-suited for bioinformatic workflows. The NBIS Tools for reproducible research course is held twice a year and provides both an introduction to Snakemake and a tutorial on how to use it. This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as Bash, R or Python into a Snakemake workflow, OR B) apply more advanced techniques to their existing Snakemake workflows. **Audience** Workshop open for PhD students (prioritized), postdocs, researchers and others who have previously participated in the [NBIS Tools for reproducible research course](https://uppsala.instructure.com/courses/82575) or with demonstrated experience in writing Snakemake workflows. **Fee** This online training event has no fee. However, if you confirm your participation but do not do so (no-show) you will be invoiced 2,000 SEK. Please note that NBIS cannot invoice individuals. By accepting to participate in the workshop, you will be agreeing to follow the NBIS Training Code of Conduct. Due to limited space, the workshop can accommodate a maximum of 12 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the workshop as well as gender- and geographical balance. This is a national workshop. The workshop is open for PhD students, postdocs, group leaders and core facility staff. We do accept applications from other countries, but give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits; however, the estimated credits are just guidelines. If formal credits are crucial, the student needs to confer with their home department before submitting a workshop application in order to establish whether the workshop is valid for formal credits or not.

BiG Talks – Metabolic Atlas: genome-scale metabolic models for easy browsing and analysis

2021-09-10 to 2021-09-10 (1 days)
More info

BiG Talks – Network-based integration and visualization of large-scale data

2021-09-10 to 2021-09-10 (1 days)
More info

BiG Talks – Network based analysis of 1002 GWAS study defines a pleiotropy map of human cell biology

2021-09-08 to 2021-09-08 (1 days)
More info

Data visualization in R

2021-09-08 to 2021-09-09 (2 days)
Online
More infoThis is a nation-wide course open for people who are interested in learning to plot using different packages in R. The course is organized by [NBIS](https://nbis.se/) (ELIXIR-SE). - This course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. - A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. **AUDIENCE** National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. **FEE** The fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. Note that travel and accommodation is not included in the fee and must be arranged by the participants.

Omics Integration and Systems Biology

2021-09-06 to 2021-09-10 (5 days)
Online
More infoThe aim of this course is to provide an integrated view of data-driven hypothesis generation through machine learning integration methods, biological graph / network analysis and genome-scale metabolic models. A general description of different methods for analyzing different omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing key methods and pitfalls in their integration.