scHiCNorm – Eliminate Systematic Biases in Single-cell Hi-C data

scHiCNorm

:: DESCRIPTION

scHiCNorm is a software package for eliminating systematic biases in single-cell Hi-C data. Considering that single-cell Hi-C data are zero-inflated, here we use zero-inflated (Poisson and Negative Binomial) and hurdle (Poisson and Negative Binomial) models to remove biases, including cutting sites, GC content, and mappability.

::DEVELOPER

Z. WANG LAB

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

scHiCNorm

:: MORE INFORMATION

Citation

Liu T, Wang Z.
scHiCNorm: a software package to eliminate systematic biases in single-cell Hi-C data.
Bioinformatics. 2018 Mar 15;34(6):1046-1047. doi: 10.1093/bioinformatics/btx747. PMID: 29186290; PMCID: PMC5860379.