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DTSTAMP:20260619T054659Z
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DTSTART:20181122T090000Z
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DESCRIPTION:#training More information will follow Course leaders: Agata Sm
 ialowska (agata.smialowska@nbis.se) and Olga Dethlefsen (olga.dethlefsen@n
 bis.se) Course description: This course provides a practical introduction 
 to analyzing ChIP-seq data. It is aimed for those already working with NGS
  data analyses but in need of learning best practice bioinformatics method
 s for processing and analyses of ChIP-seq data. Upon completion of the cou
 rse\, attentive participants will be able to plan and run most common ChIP
 -seq data analyses. Course content This course will introduce the best pra
 ctice bioinformatics methods for processing and analyses of ChIP-seq data 
 including: Quality controls of raw sequencing reads Reads trimming and fil
 tering Alignment to the reference genome Peak-independent quality metrics 
 Peak calling Peak-dependent quality metrics and visualization Differential
  binding analysis Functional analysis\, incl. finding nearest genes\, exon
 s and custom features\, obtaining enriched Gene Ontology terms and pathway
 s Entry requirements Required for being able to follow the course and to 
 complete computer exercises: At least basic knowledge in Linux Ability to 
 bring your own laptop with R installed for the computer exercises Programm
 ing / scripting experience\, preferably in R Desired: Experience working o
 n Uppmax or another HPC Previous experience with NGS data analyses Complet
 ing SciLifeLab / NBIS courses “Introduction to Bioinformatics using NGS 
 data” and “R Programming Foundations for Life Scientists” Selection 
 criteria The course can accommodate 15 participants. Selection criteria in
 clude correct entry requirements\, motivation to attend the course as well
  as gender and geographical balance. 
SUMMARY:ChIP-seq data analysis
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