Analysis of ChIP-seq Data with SeqMonk (IN-PERSON)
Date: 5 July 2024 @ 08:30 - 16:00
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 and cover the bioinformatic steps in processing ChIP-seq data. We will then introduce the use of the graphical program SeqMonk to explore and visualise your data. Finally, you will perform peak calling and perform differential enrichment analysis.
If you do not have a University of Cambridge Raven account please book or register your interest here.
Additional information
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- 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.
- Guidance on visiting Cambridge and finding accommodation is 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 and perform downstream analysis and visualisation of their results.
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Functional genomics, Data visualisation, ChIP-seq, Data mining
Activity log