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OrthoFiller: utilising data from multiple species to improve the completeness of genome annotations.

Abstract:

Background
Complete and accurate annotation of sequenced genomes is of paramount importance to their utility and analysis. Differences in gene prediction pipelines mean that genome annotations for a species can differ considerably in the quality and quantity of their predicted genes. Furthermore, genes that are present in genome sequences sometimes fail to be detected by computational gene prediction methods. Erroneously unannotated genes can lead to oversights and inaccurate assertions ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/s12864-017-3771-x

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
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Name:
European Research Council
Grant:
637765 Horizon 2020
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
EP/G03706X/1/
Publisher:
BioMed Central
Journal:
BMC Genomics More from this journal
Volume:
18
Issue:
1
Pages:
390
Publication date:
2017-05-18
Acceptance date:
2017-05-08
DOI:
ISSN:
1471-2164
Language:
English
Keywords:
Pubs id:
pubs:697926
UUID:
uuid:d43a4161-8e19-4631-a0be-75a359f2010c
Local pid:
pubs:697926
Source identifiers:
97926
Deposit date:
2017-08-07

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