ChIP-seq analysis
Runs with ChIP sequencing data. Pre-processes raw data from FastQ inputs, aligns the reads and performs peak calling and extensive quality-control on the results.
ChIP-Seq is a bioinformatics best-practice analysis pipeline used for chromatin immunoprecipitation (ChIP-seq) data analysis. The pipeline uses Nextflow, a bioinformatics workflow tool. It pre-processes raw data from FastQ inputs, aligns the reads and performs peak calling and extensive quality-control on the results.
nf-core/chipseq
https:
ChIP-seq peak-calling, QC and differential analysis pipeline. - https://nf-co.re/chipseq
When we run analysis
We run this analysis routinely for all ChIP-seq projects where we have prepared the sequencing library in-house. If you have prepared a library yourself and we are just sequencing, please get in touch and mention that you would like us to run this analysis.
The analysis works with any of the species that have a reference genome available in AWS-iGenomes. If in doubt, please ask whether we can run the pipeline for you.
Input data
bcl2fastq demultiplexed FastQ files and a genome reference.
Results
The pipeline generates aligned BAM-files, files with information about called peaks, along with numerous quality control metrics. For more information, please see https://nf-co.re/chipseq/docs/output.
Last Updated: 14th July 2023