Date: 20 July 2023 @ 08:30 - 16:30

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Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to identify binding sites for transcription factors, histone modifications and other DNA-binding proteins across the genome. In this course, we will cover the fundamentals of ChIP-seq data analysis, from raw data to downstream applications.

We will start with an introduction to ChIP-seq methods, including important considerations when designing your experiments. We will cover the bioinformatic steps in a standard ChIP-seq analysis workflow, covering raw data quality control, trimming/filtering, mapping, duplicate removal, post-mapping quality control, peak calling and peak annotation. We will discuss metrics used for quality assessment of the called peaks when multiple replicates are available, as well as the analysis of differential binding across sample groups. Throughout the course we will also cover tools and packages that can be used for visualising and exploring your results.

If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information

  • Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
  • Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
  • Further details regarding eligibility criteria are available here.

Keywords: HDRUK

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Organizer: University of Cambridge

Host institutions: University of Cambridge Bioinformatics Training

Target audience: This course is aimed at researchers with no prior experience in the analysis of ChIP-seq data, who would like to get started in processing their data using a standardised pipeline and perform downstream analysis and visualisation of their results.

Event types:

  • Workshops and courses

Scientific topics: Bioinformatics, Epigenomics, Functional genomics, Data visualisation, Data mining, ChIP-seq


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