Reduce Manual Curation by Combining Gene Predictions from Multiple Annotation Engines, a Case Study...
Reduce Manual Curation by Combining Gene Predictions from Multiple Annotation Engines, a Case Study of Start Codon Prediction
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Nowadays, prokaryotic genomes are sequenced faster than the capacity to manually curate gene annotations. Automated genome annotation engines provide users a straight-forward and complete solution for predicting ORF coordinates and function. For many labs, the use of AGEs is therefore essential to decrease the time necessary for annotating a given...
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Reduce Manual Curation by Combining Gene Predictions from Multiple Annotation Engines, a Case Study of Start Codon Prediction
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TN_cdi_plos_journals_1350372787
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1350372787
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0063523
