OMMA enables population-scale analysis of complex genomic features and phylogenomic relationships from nanochannel-based optical maps | Zendy

Alden King-Yung Leung | Zendy; Chunjiao Liu | Zendy; Le Li | Zendy; Yvonne Y. Y. Lai | Zendy; Catherine Chu | Zendy; PuiYan Kwok | Zendy; PakLeung Ho | Zendy; Kevin Y. Yip | Zendy; TingFung Chan | Zendy

Open Access

OMMA enables population-scale analysis of complex genomic features and phylogenomic relationships from nanochannel-based optical maps

Author(s) -

Alden King-Yung Leung,

Chunjiao Liu,

Le Li,

Yvonne Y. Y. Lai,

Catherine Chu,

PuiYan Kwok,

PakLeung Ho,

Kevin Y. Yip,

TingFung Chan

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz079

Subject(s) - scale (ratio) , population , data science , computational biology , evolutionary biology , computer science , biology , geography , cartography , demography , sociology

Optical mapping is an emerging technology that complements sequencing-based methods in genome analysis. It is widely used in improving genome assemblies and detecting structural variations by providing information over much longer (up to 1 Mb) reads. Current standards in optical mapping analysis involve assembling optical maps into contigs and aligning them to a reference, which is limited to pairwise comparison and becomes bias-prone when analyzing multiple samples.

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