CodingQuarry: Highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts

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CodingQuarry: Highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts

Background: The impact of gene annotation quality on functional and comparative genomics makes gene prediction an important process, particularly in non-model species, including many fungi. Sets of homologous protein sequences are rarely complete with respect to the fungal species of interest and ar...

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Bibliographic Details
Main Authors:	Testa, Alison, Hane, James, Ellwood, Simon, Oliver, Richard
Format:	Journal Article
Published:	Biomed Central Ltd 2015
Subjects:	Gene prediction Generalised hidden Markov model Fungi Gene annotation
Online Access:	http://hdl.handle.net/20.500.11937/38071

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