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Phy-Mer: a novel alignment-free and reference-independent mitochondrial haplogroup classifier.

Authors :
Navarro-Gomez D
Leipzig J
Shen L
Lott M
Stassen AP
Wallace DC
Wiggs JL
Falk MJ
van Oven M
Gai X
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2015 Apr 15; Vol. 31 (8), pp. 1310-2. Date of Electronic Publication: 2014 Dec 12.
Publication Year :
2015

Abstract

Motivation: All current mitochondrial haplogroup classification tools require variants to be detected from an alignment with the reference sequence and to be properly named according to the canonical nomenclature standards for describing mitochondrial variants, before they can be compared with the haplogroup determining polymorphisms. With the emergence of high-throughput sequencing technologies and hence greater availability of mitochondrial genome sequences, there is a strong need for an automated haplogroup classification tool that is alignment-free and agnostic to reference sequence.<br />Results: We have developed a novel mitochondrial genome haplogroup-defining algorithm using a k-mer approach namely Phy-Mer. Phy-Mer performs equally well as the leading haplogroup classifier, HaploGrep, while avoiding the errors that may occur when preparing variants to required formats and notations. We have further expanded Phy-Mer functionality such that next-generation sequencing data can be used directly as input.<br />Availability and Implementation: Phy-Mer is publicly available under the GNU Affero General Public License v3.0 on GitHub (https://github.com/danielnavarrogomez/phy-mer).<br />Contact: Xiaowu_Gai@meei.harvard.edu<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1367-4811
Volume :
31
Issue :
8
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
25505086
Full Text :
https://doi.org/10.1093/bioinformatics/btu825