HapFlow: Visualising haplotypes in sequencing data
- Published
- Accepted
- Subject Areas
- Bioinformatics, Genomics, Microbiology
- Keywords
- Haplotype, Genome sequencing, Mixed infections
- Copyright
- © 2015 Sullivan et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. HapFlow: Visualising haplotypes in sequencing data. PeerJ PrePrints 3:e895v1 https://doi.org/10.7287/peerj.preprints.895v1
Abstract
Summary: HapFlow is a python application for visualising haplotypes present in high-throughput sequencing data. HapFlow identifies nucleotide variant profiles in raw read sequences and creates an abstract visual representation of these profiles to make haplotypes easier to identify. Availablity: HapFlow is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from github (http://mjsull.github.io/HapFlow).
Author Comment
This article describes a software program for visualizing DNA variations in sequence data. We are making the software available as a pre-print article in order to get feedback from the community to optimize and improve the program. The article will be submitted to a journal for review. Contact: apolking@usc.edu.au