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Commit 8a6199b6 authored by nservant's avatar nservant
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[MODIF] edit README

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...@@ -5,6 +5,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ...@@ -5,6 +5,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## v1.3.0dev - 2020-11-01 ## v1.3.0dev - 2020-11-01
* Add HiCExplorer distance decay quality control
* Add HiCExplorer TADs calling
* Add insulation score TADs calling
* Generate cooler/h5/txt contact maps
* Normalize Hi-C data with cooler instead of iced
* New `--digestion` parameter to automatically set the restriction_site and ligation_site motifs * New `--digestion` parameter to automatically set the restriction_site and ligation_site motifs
* New `--keep_multi` and `keep_dup` options. Default: false * New `--keep_multi` and `keep_dup` options. Default: false
* Template update for nf-core/tools v1.11 * Template update for nf-core/tools v1.11
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...@@ -14,7 +14,7 @@ ...@@ -14,7 +14,7 @@
## Introduction ## Introduction
This pipeline is based on the This pipeline was originally set up from the
[HiC-Pro workflow](https://github.com/nservant/HiC-Pro). [HiC-Pro workflow](https://github.com/nservant/HiC-Pro).
It was designed to process Hi-C data from raw FastQ files (paired-end Illumina It was designed to process Hi-C data from raw FastQ files (paired-end Illumina
data) to normalized contact maps. data) to normalized contact maps.
...@@ -23,6 +23,8 @@ well as protocols that do not require restriction enzymes such as DNase Hi-C. ...@@ -23,6 +23,8 @@ well as protocols that do not require restriction enzymes such as DNase Hi-C.
In practice, this workflow was successfully applied to many data-sets including In practice, this workflow was successfully applied to many data-sets including
dilution Hi-C, in situ Hi-C, DNase Hi-C, Micro-C, capture-C, capture Hi-C or dilution Hi-C, in situ Hi-C, DNase Hi-C, Micro-C, capture-C, capture Hi-C or
HiChip data. HiChip data.
Contact maps are generated in standard format including HiC-Pro, cooler, and h5 format.
Addition downstream analysis steps such as TADs calling are also available.
The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool The pipeline is built using [Nextflow](https://www.nextflow.io), a workflow tool
to run tasks across multiple compute infrastructures in a very portable manner. to run tasks across multiple compute infrastructures in a very portable manner.
...@@ -32,13 +34,14 @@ results highly reproducible. ...@@ -32,13 +34,14 @@ results highly reproducible.
## Pipeline summary ## Pipeline summary
1. Mapping using a two steps strategy to rescue reads spanning the ligation 1. Mapping using a two steps strategy to rescue reads spanning the ligation
sites (bowtie2) sites ([`bowtie2`](http://bowtie-bio.sourceforge.net/bowtie2/index.shtml))
2. Detection of valid interaction products 2. Detection of valid interaction products([`HiC-Pro`](https://github.com/nservant/HiC-Pro))
3. Duplicates removal 3. Duplicates removal
4. Create genome-wide contact maps at various resolution 4. Create genome-wide contact maps at various resolution ([`cooler`](https://github.com/open2c/cooler))
5. Contact maps normalization using the ICE algorithm (iced) 5. Contact maps normalization using the ICE algorithm ([`cooler`](https://github.com/open2c/cooler))
6. Quality controls and report (MultiQC) 6. Quality controls ([`HiC-Pro`](https://github.com/nservant/HiC-Pro), [`HiCExplorer`](https://github.com/deeptools/HiCExplorer))
7. Addition export for visualisation and downstream analysis (cooler) 7. TADs calling ([`HiCExplorer`](https://github.com/deeptools/HiCExplorer), [`cooler`](https://github.com/open2c/cooler))
8. Quality control report ([`MultiQC`](https://multiqc.info/))
## Quick Start ## Quick Start
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