Journal article
HapFlow: visualizing haplotypes in sequencing data
Bioinformatics, Vol.32(3), pp.441-443
2016
Abstract
HapFlow is a python application for visualizing haplotypes present in sequencing data. It identifies variant profiles present and reads and creates an abstract visual representation of these profiles to make haplotypes easier to identify. 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).
Details
- Title
- HapFlow: visualizing haplotypes in sequencing data
- Authors
- 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
- Publication details
- Bioinformatics, Vol.32(3), pp.441-443
- Publisher
- Oxford University Press
- Date published
- 2016
- DOI
- 10.1093/bioinformatics/btv551
- ISSN
- 1367-4803
- Organisation Unit
- University of the Sunshine Coast, Queensland; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449591602621
- Output Type
- Journal article
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