HapFlow: Visualising haplotypes in sequencing data
PeerJ Preprints, Vol.3, pp.1-6
PeerJ, Ltd.
2015
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).
- HapFlow: Visualising haplotypes in sequencing data
- Mitchell J Sullivan (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringNathan Bachmann (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringPeter Timms (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringAdam Polkinghorne (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
- PeerJ Preprints, Vol.3, pp.1-6
- PeerJ, Ltd.
- 2015
- 10.7287/peerj.preprints.895v1
- 2167-9843; 2167-9843
- Copyright © 2015 The Authors. 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) and either DOI or URL of the article must be cited.
- Centre for Bioinnovation
- English
- 99449167202621
- Preprint
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