dnAQET: a framework to compute a consolidated metric for benchmarking quality of de novo assemblies.

Yavas, Gokhan; Hong, Huixiao; Xiao, Wenming

Yavas, Gokhan; Hong, Huixiao; Xiao, Wenming.

Afiliación

Yavas G; Bioinformatics Branch, Division of Bioinformatics and Biostatistics, National Center for Toxicological Center, U.S Food and Drug Administration, Jefferson, AR, 72079, USA.
Hong H; Bioinformatics Branch, Division of Bioinformatics and Biostatistics, National Center for Toxicological Center, U.S Food and Drug Administration, Jefferson, AR, 72079, USA.
Xiao W; Bioinformatics Branch, Division of Bioinformatics and Biostatistics, National Center for Toxicological Center, U.S Food and Drug Administration, Jefferson, AR, 72079, USA. Wenming.Xiao@fda.hhs.gov.

BMC Genomics ; 20(1): 706, 2019 Sep 11.

Article en En | MEDLINE | ID: mdl-31510940

Asunto(s)

Genómica/métodos; Benchmarking; Mapeo Contig; Programas Informáticos

Palabras clave

Assembly quality assessment; Misassembly; Next generation sequencing; de novo genome assembly

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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