Open AccessViralMSA: massively scalable reference-guided multiple sequence alignment of viral genomes
Author(s) -
Niema Moshiri
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa743
Subject(s) - massively parallel , sequence (biology) , computer science , genome , computational biology , multiple sequence alignment , scalability , sequence alignment , biology , genetics , parallel computing , peptide sequence , gene , database
In molecular epidemiology, the identification of clusters of transmissions typically requires the alignment of viral genomic sequence data. However, existing methods of multiple sequence alignment (MSA) scale poorly with respect to the number of sequences.
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