HapFlow: Visualizing haplotypes in sequencing data

Mitchell J. Sullivan; Nathan L. Bachmann; Peter Timms; Adam Polkinghorne

doi:10.1093/bioinformatics/btv551

HapFlow: Visualizing haplotypes in sequencing data

Mitchell J. Sullivan
, Nathan L. Bachmann
, Peter Timms
, Adam Polkinghorne

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: 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.

Original language	English
Pages (from-to)	441-443
Number of pages	3
Journal	Bioinformatics
Volume	32
Issue number	3
DOIs	https://doi.org/10.1093/bioinformatics/btv551
State	Published - 1 Feb 2016
Externally published	Yes

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10.1093/bioinformatics/btv551

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title = "HapFlow: Visualizing haplotypes in sequencing data",

abstract = "Summary: 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.",

author = "Sullivan, \{Mitchell J.\} and Bachmann, \{Nathan L.\} and Peter Timms and Adam Polkinghorne",

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year = "2016",

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AU - Bachmann, Nathan L.

AU - Timms, Peter

AU - Polkinghorne, Adam

N1 - Publisher Copyright: © The Author 2015. Published by Oxford University Press.

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N2 - Summary: 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.

AB - Summary: 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.

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DO - 10.1093/bioinformatics/btv551

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JO - Bioinformatics

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HapFlow: Visualizing haplotypes in sequencing data

Abstract

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