Workshop in Epigenomics Data Analysis

  

Epigenomics Data Analysis: from Bulk to Single Cell

 

 25 - 29 October 2021
Online link

The 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 builds on our previous ChIPseq data analysis workshop and is run by the National Bioinformatics Infrastructure Sweden (NBIS).

Audience Course open to PhD students, postdocs, and other researchers. Note that priority is given to Swedish academia.

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 2000 SEK. Please note that NBIS cannot invoice individuals.

By accepting to participate in the course, you will be agreeing to follow the NBIS Training Code of Conduct.

 

Covered topics

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This workshop is designed to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics and functional genomics data.

Topis covered include:

• Data processing and analyses for differential DNA methylation with Illumina EPIC arrays and Bisulfite-seq;
• ChIP-seq and ATAC-seq: peak calling, peak independent / dependent quality metrics, differential binding and differential accessibility analysis; DNA motif enrichment;
• Functional analysis, including finding nearest genes and custom features, GO terms and Reactome pathways enrichment;
• Integrative visualisations of epigenomics datasets;
• Quantitative ChIP-seq;
• Novel methods to investigate protein-chromatin interactions;
• RNA-seq integration for identification of targets of transcription factors;
• Basic multi-omics exploration and integration;
• Introduction to analysis of single cell functional genomics data (ATAC-seq);
• Nf-cores pipelines: Methylseq, ChIP-seq, ATAC-seq

 

Application

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This is a national course. The course is open for PhD students, postdocs, group leaders and core facility staff. NBIS prioritises academic participants, especially PhD students, affiliated with Swedish universities. We warmly welcome international and/or non-academic participants when we have seats available and the requirements criteria are met.

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.

 

Entry requirements

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Required to be able to follow the tutorials:

• BYOL, bring your own laptop with R and RStudio installed
• Basic knowledge in Linux
• Basic R programming experience

Makes learning experience easier:

• Experience working on the SNIC center Uppmax or another HPC
• Previous experience with NGS data analyses
• Completing NBIS workshops “Introduction to Bioinformatics using NGS data” and “R Programming Foundations for Life Scientists” or equivalent

Due to limited space the course can accommodate maximum of 30 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.

 

Certificate & University credits

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We will issue a course certificate upon a successful course completion, assessed by active participation in all course sessions (lectures, computer practicals, group discussion etc.).

Unfortunately we are not able to warrant any university credits (högskolepoäng). Many universities however, recognize the attendance in our courses and award 1.5 HPs, corresponding to a 40 h of studying. It is up to participants to clarify and arrange credit transfer with the relevant university department.

 

Schedule

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The course schedule can be found here.

Precourse material

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Please read carefully the precourse materials prior to starting the course.

 

Teaching Team

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Agata Smialowska Olga Dethlefsen Jakub Orzechowski Westholm Vincent van Hoef Phil Ewels Harshil Patel Simon Elsässer Jessica Nordlund

Image source: www.gene.com