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hic

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    Nicolas Servant authored and GitHub committed
    Co-authored-by: default avatarPhil Ewels <phil.ewels@scilifelab.se>
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    nf-core/hic

    Analysis of Chromosome Conformation Capture data (Hi-C).

    GitHub Actions CI Status GitHub Actions Linting Status Nextflow

    install with bioconda Docker

    DOI

    Introduction

    This pipeline is based on the HiC-Pro workflow. It was designed to process Hi-C data from raw FastQ files (paired-end Illumina data) to normalized contact maps. The current version supports most protocols, including digestion protocols as 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 dilution Hi-C, in situ Hi-C, DNase Hi-C, Micro-C, capture-C, capture Hi-C or HiChip data.

    The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker / singularity containers making installation trivial and results highly reproducible.

    Pipeline summary

    1. Mapping using a two steps strategy to rescue reads spanning the ligation sites (bowtie2)
    2. Detection of valid interaction products
    3. Duplicates removal
    4. Create genome-wide contact maps at various resolution
    5. Contact maps normalization using the ICE algorithm (iced)
    6. Quality controls and report (MultiQC)
    7. Addition export for visualisation and downstream analysis (cooler)

    Quick Start

    i. Install nextflow

    ii. Install either Docker or Singularity for full pipeline reproducibility (please only use Conda as a last resort; see docs)

    iii. Download the pipeline and test it on a minimal dataset with a single command

    nextflow run nf-core/hic -profile test,<docker/singularity/conda/institute>

    Please check nf-core/configs to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use -profile <institute> in your command. This will enable either docker or singularity and set the appropriate execution settings for your local compute environment.

    iv. Start running your own analysis!

    nextflow run nf-core/hic -profile <docker/singularity/conda/institute> --reads '*_R{1,2}.fastq.gz' --genome GRCh37

    See usage docs for all of the available options when running the pipeline.

    Documentation

    The nf-core/hic pipeline comes with documentation about the pipeline, found in the docs/ directory:

    1. Installation
    2. Pipeline configuration
    3. Running the pipeline
    4. Output and how to interpret the results
    5. Troubleshooting

    For further information or help, don't hesitate to get in touch on Slack. You can join with this invite.

    Credits

    nf-core/hic was originally written by Nicolas Servant.

    Contributions and Support

    If you would like to contribute to this pipeline, please see the contributing guidelines.

    For further information or help, don't hesitate to get in touch on Slack (you can join with this invite).

    Citation

    If you use nf-core/hic for your analysis, please cite it using the following doi: 10.5281/zenodo.2669513

    You can cite the nf-core publication as follows:

    The nf-core framework for community-curated bioinformatics pipelines.

    Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

    Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.
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