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Orthology detection combining clustering and synteny for very large datasets

Orthology detection combining clustering and synteny for very large datasets

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1554512654

Orthology detection combining clustering and synteny for very large datasets

About this item

Full title

Orthology detection combining clustering and synteny for very large datasets

Publisher

United States: Public Library of Science

Journal title

PloS one, 2014-08, Vol.9 (8), p.e105015-e105015

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The elucidation of orthology relationships is an important step both in gene function prediction as well as towards understanding patterns of sequence evolution. Orthology assignments are usually derived directly from sequence similarities for large data because more exact approaches exhibit too high computational costs. Here we present PoFF, an ex...

Alternative Titles

Full title

Orthology detection combining clustering and synteny for very large datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1554512654

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1554512654

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0105015

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