Ontology highlight
ABSTRACT:
SUBMITTER: Liu T
PROVIDER: S-EPMC5860379 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Bioinformatics (Oxford, England) 20180301 6
<h4>Summary</h4>We build a software package scHiCNorm that uses zero-inflated and hurdle models to remove biases from single-cell Hi-C data. Our evaluations prove that our models can effectively eliminate systematic biases for single-cell Hi-C data, which better reveal cell-to-cell variances in terms of chromosomal structures.<h4>Availability and implementation</h4>scHiCNorm is available at http://dna.cs.miami.edu/scHiCNorm/. Perl scripts are provided that can generate bias features. Pre-built b ...[more]