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Briefings in Bioinformatics
Article
License: implied-oa
Data sources: UnpayWall
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PubMed Central
Other literature type . 2013
License: CC BY NC
Data sources: PubMed Central
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Briefings in Bioinformatics
Article . 2012 . Peer-reviewed
Data sources: Crossref
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The automatic annotation of bacterial genomes

Authors: Richardson, Emily; Watson, Mick;

The automatic annotation of bacterial genomes

Abstract

With the development of ultra-high-throughput technologies, the cost of sequencing bacterial genomes has been vastly reduced. As more genomes are sequenced, less time can be spent manually annotating those genomes, resulting in an increased reliance on automatic annotation pipelines. However, automatic pipelines can produce inaccurate genome annotation and their results often require manual curation. Here, we discuss the automatic and manual annotation of bacterial genomes, identify common problems introduced by the current genome annotation process and suggests potential solutions.

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Keywords

/dk/atira/pure/subjectarea/asjc/1300/1312, Computational Biology, Molecular Sequence Annotation, Salmonella, Papers, Databases, Genetic, Escherichia coli, /dk/atira/pure/subjectarea/asjc/1700/1710, Molecular Biology, Genome, Bacterial, Software, Information Systems

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 1%
Top 1%
Top 1%
Green
gold