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 |
Links
Code Repository (At GitHub, Track the package issue)
PyPI (Download and Installation)
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
1 maintainer
Metadata
1 maintainer
Release files for runhic 0.9.1
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| runhic-0.9.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 85.1 kB
Release files / runhic-0.9.1.tar.gz
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