SwiftOrtho: A fast, memory-efficient, multiple genome orthology classifier
Author(s) -
Xiao Hu,
Iddo Friedberg
Publication year - 2019
Publication title -
gigascience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giz118
Subject(s) - genome , computer science , comparative genomics , genomics , cluster analysis , computational biology , classifier (uml) , homology (biology) , annotation , graph , biology , data mining , gene , artificial intelligence , genetics , theoretical computer science
Gene homology type classification is required for many types of genome analyses, including comparative genomics, phylogenetics, and protein function annotation. Consequently, a large variety of tools have been developed to perform homology classification across genomes of different species. However, when applied to large genomic data sets, these tools require high memory and CPU usage, typically available only in computational clusters.
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