Details

Autor(en) / Beteiligte

• Navarro-Gomez, Daniel
• Leipzig, Jeremy
• Shen, Lishuang
• Lott, Marie
• Stassen, Alphons P M
• Wallace, Douglas C
• Wiggs, Janey L
• Falk, Marni J
• van Oven, Mannis
• Gai, Xiaowu

Titel

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

Ist Teil von

• Bioinformatics, 2015-04, Vol.31 (8), p.1310-1312

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2015

Quelle

MEDLINE

Beschreibungen/Notizen

• 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. 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. Phy-Mer is publicly available under the GNU Affero General Public License v3.0 on GitHub (https://github.com/danielnavarrogomez/phy-mer). Xiaowu_Gai@meei.harvard.edu Supplementary data are available at Bioinformatics online.