Predicting Genes in Single Genomes with AUGUSTUS.


Journal

Current protocols in bioinformatics
ISSN: 1934-340X
Titre abrégé: Curr Protoc Bioinformatics
Pays: United States
ID NLM: 101157830

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 23 11 2018
medline: 15 6 2019
entrez: 23 11 2018
Statut: ppublish

Résumé

AUGUSTUS is a tool for finding protein-coding genes and their exon-intron structure in genomic sequences. It does not necessarily require additional experimental input, as it can be applied in so-called ab initio mode. However, extrinsic evidence from various sources such as transcriptome sequencing or the annotations of closely related genomes can be integrated in order to improve the accuracy and completeness of the annotation. AUGUSTUS can be applied to single genomes, or simultaneously to several aligned genomes. Here, we describe steps required for training AUGUSTUS for the annotation of individual genomes and the steps to do the actual structural annotation. Further, we describe the generation and integration of evidence from various sources of extrinsic evidence. © 2018 by John Wiley & Sons, Inc.

Identifiants

pubmed: 30466165
doi: 10.1002/cpbi.57
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e57

Informations de copyright

© 2018 John Wiley & Sons, Inc.

Auteurs

Katharina J Hoff (KJ)

University of Greifswald, Institute of Mathematics and Computer Science, Greifswald, Germany.

Mario Stanke (M)

University of Greifswald, Institute of Mathematics and Computer Science, Greifswald, Germany.

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Classifications MeSH