Improving prokaryotic transposable elements identification using a combination of de novo and profile HMM methods.

Kamoun, Choumouss; Payen, Thibaut; Hua-Van, Aurélie; Filée, Jonathan

Kamoun, Choumouss; Payen, Thibaut; Hua-Van, Aurélie; Filée, Jonathan.

Affiliation

Kamoun C; Laboratoire Evolution, Génomes, Spéciation, CNRS UPR9034/Université Paris-Sud, Gif-sur-Yvette, France. jonathan.filee@legs.cnrs-gif.fr.

BMC Genomics ; 14: 700, 2013 Oct 11.

Article in En | MEDLINE | ID: mdl-24118975

Subject(s)

Computational Biology/methods; DNA Transposable Elements/genetics; Markov Chains; Prokaryotic Cells/metabolism; Archaea/genetics; Bacteria/genetics; Base Sequence; Databases, Nucleic Acid; Genome, Archaeal/genetics; Genome, Bacterial/genetics; Inverted Repeat Sequences/genetics; Metagenome/genetics; Molecular Sequence Data; Reference Standards; Reproducibility of Results

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prokaryotic Cells / DNA Transposable Elements / Markov Chains / Computational Biology Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2013 Document type: Article Affiliation country: France Country of publication: United kingdom

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