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Nucleic Acids Research
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.1101/2022.0...
Article . 2022 . Peer-reviewed
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StORF-Reporter: finding genes between genes

Authors: Nicholas J Dimonaco; Amanda Clare; Kim Kenobi; Wayne Aubrey; Christopher J Creevey;

StORF-Reporter: finding genes between genes

Abstract

Abstract Large regions of prokaryotic genomes are currently without any annotation, in part due to well-established limitations of annotation tools. For example, it is routine for genes using alternative start codons to be misreported or completely omitted. Therefore, we present StORF-Reporter, a tool that takes an annotated genome and returns regions that may contain missing CDS genes from unannotated regions. StORF-Reporter consists of two parts. The first begins with the extraction of unannotated regions from an annotated genome. Next, Stop-ORFs (StORFs) are identified in these unannotated regions. StORFs are open reading frames that are delimited by stop codons and thus can capture those genes most often missing in genome annotations. We show this methodology recovers genes missing from canonical genome annotations. We inspect the results of the genomes of model organisms, the pangenome of Escherichia coli, and a set of 5109 prokaryotic genomes of 247 genera from the Ensembl Bacteria database. StORF-Reporter extended the core, soft-core and accessory gene collections, identified novel gene families and extended families into additional genera. The high levels of sequence conservation observed between genera suggest that many of these StORFs are likely to be functional genes that should now be considered for inclusion in canonical annotations.

Country
United Kingdom
Keywords

570, /dk/atira/pure/subjectarea/asjc/1300/1311, Databases, Factual, name=Genetics, Molecular Sequence Annotation, Data Resources and Analyses, Open Reading Frames, Genetics, Escherichia coli, /dk/atira/pure/subjectarea/asjc/1300/1311; name=Genetics, Genome, Bacterial

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    popularity
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    influence
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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!
3
Top 10%
Average
Average
Green
gold