#  **Analysis of Chromosome Conformation Capture data (Hi-C)** [](https://travis-ci.org/nf-core/hic) [](https://www.nextflow.io/) [](http://bioconda.github.io/) [](https://hub.docker.com/r/nfcore/hic)  ### Introduction This pipeline is based on the [HiC-Pro workflow](https://github.com/nservant/HiC-Pro). It was designed to process Hi-C data from raw fastq files (paired-end Illumina data) to normalized contact maps. The current version supports digestion protocols. Support for other protocols is ongoing. 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. 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) ### Documentation The nf-core/hic pipeline comes with documentation about the pipeline, found in the `docs/` directory: 1. [Installation](docs/installation.md) 2. Pipeline configuration * [Local installation](docs/configuration/local.md) * [Adding your own system](docs/configuration/adding_your_own.md) * [Reference genomes](docs/configuration/reference_genomes.md) 3. [Running the pipeline](docs/usage.md) 4. [Output and how to interpret the results](docs/output.md) 5. [Troubleshooting](docs/troubleshooting.md) ### Credits nf-core/hic was originally written by Nicolas Servant.