HSA specifications
- Unique identifier:
- OMICS_11394
- Interface:
- Command line interface
- Input data:
- The input for HSA can be either raw contact maps with count data or normalized contact maps obtained through existing approaches.
- Programming languages:
- R
- Computer skills:
- Advanced
- Maintained:
- Yes
- Software type:
- Package/Module
- Restrictions to use:
- None
- Operating system:
- Unix/Linux, Mac OS, Windows
- License:
- GNU General Public License version 2.0
- Stability:
- Stable
versioning
No versioning.
HSA distribution
download
HSA support
Documentation
- Documentation: http://ouyanglab.jax.org/hsa/instructions.html#Prerequisites
Maintainer
- Zhengqing Ouyang <>
forum
No open topic.
Credits
Publications
-
(Zou et al., 2016)
HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure.
Genome Biol.
PMID: 26936376 DOI: 10.1186/s13059-016-0896-1
Institution(s)
The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA; Department of Statistics, University of Connecticut, Storrs, CT, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA; Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT, USA; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, USA; Center for Quantitative Medicine, University of Connecticut, Farmington, CT, USA; The Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
Funding source(s)
The work is supported by a faculty start-up fund from the Jackson Laboratory for Genomic Medicine, the Research Starter Grant in Informatics from PhRMA Foundation, and the CHIP Faculty Affiliate Seed Grant at UConn.
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