Skip to main content

A easy-to-use Hi-C processing software supporting distributed computation

Project description

https://zenodo.org/badge/doi/10.5281/zenodo.55324.svg https://static.pepy.tech/personalized-badge/runhic?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads

runHiC is an easy-to-use command-line tool for Hi-C data processing.

Since version 0.8.6, runHiC has supported data from all kinds of 3C-based experiments, including Hi-C, Micro-C, HiChIP/PLAC-Seq, and ChIA-PET. For experiments that do not use restriction enzymes for DNA fragmentation, you can set the enzyme name arbitrarily for your record. For example, for Micro-C, you can set it to MNase; for ChIA-PET, you can set it to sonication.

Since version 0.8.5, runHiC has changed the default aligner to chromap, which is comparable to bwa-mem in alignment accuracy, but runs over 10 times faster.

Since version 0.8.1, runHiC can be used directly on Arima HiC data by setting the enzyme name to Arima.

Since version 0.8.0, runHiC has changed its default data container/format from HDF5 to Pairs and Cooler.

Design Concepts

runHiC is designed to process Hi-C data from raw sequencing reads(.sra, .fastq, .fastq.gz) to the ICE-corrected contact matrices. It currently contains 5 subcommands:

mapping

Map raw sequencing reads to a supplied genome. Support three read aligners: chromap, bwa and minimap2.

filtering

Perform read-level and fragment-level noise removing

binning

1.Generate contact matirx; 2. Perform ICE/matrix-balancing normalization

pileup

Perform the entire processing steps from mapping to binning

quality

Evaluate the quality of your Hi-C data

Usage

Open a terminal, type runHiC -h or runHiC <subcommand> -h for help information.

Citation

Xiaotao Wang. (2016). runHiC: A user-friendly Hi-C data processing software based on hiclib. Zenodo. 10.5281/zenodo.55324

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

runHiC-0.8.7.tar.gz (38.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

runHiC-0.8.7-py3-none-any.whl (39.5 kB view details)

Uploaded Python 3

File details

Details for the file runHiC-0.8.7.tar.gz.

File metadata

  • Download URL: runHiC-0.8.7.tar.gz
  • Upload date:
  • Size: 38.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for runHiC-0.8.7.tar.gz
Algorithm Hash digest
SHA256 b813608b7cf94f37a83dc2543b9ec26441aa66e8e798061787cb08d8f2834646
MD5 d189e7b66a1bac9adab4154b92e8f260
BLAKE2b-256 0f1198b832f144fb686bc4b9f09a6165090727c432ebfcdc324bcefac474fab2

See more details on using hashes here.

File details

Details for the file runHiC-0.8.7-py3-none-any.whl.

File metadata

  • Download URL: runHiC-0.8.7-py3-none-any.whl
  • Upload date:
  • Size: 39.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for runHiC-0.8.7-py3-none-any.whl
Algorithm Hash digest
SHA256 b5cba9fe1dea537c8e9691a5ff0674724790a87db8d38d89cb929296e4d954a4
MD5 868c986230fa12e94bbbcf049f135bf3
BLAKE2b-256 93fdccb0534670e900c763d8ad020969437d175190e3f4f8ccf2a8985ad3590f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page