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Technical considerations in Hi-C scaffolding and evaluation of chromosome-scale genome assemblies.
Yamaguchi, Kazuaki; Kadota, Mitsutaka; Nishimura, Osamu; Ohishi, Yuta; Naito, Yuki; Kuraku, Shigehiro.
Afiliação
  • Yamaguchi K; Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
  • Kadota M; Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
  • Nishimura O; Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
  • Ohishi Y; Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
  • Naito Y; Database Center for Life Science (DBCLS), Mishima, Japan.
  • Kuraku S; Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Mol Ecol ; 30(23): 5923-5934, 2021 12.
Article em En | MEDLINE | ID: mdl-34432923
ABSTRACT
The recent development of ecological studies has been fueled by the introduction of massive information based on chromosome-scale genome sequences, even for species for which genetic linkage is not accessible. This was enabled mainly by the application of Hi-C, a method for genome-wide chromosome conformation capture that was originally developed for investigating the long-range interaction of chromatins. Performing genomic scaffolding using Hi-C data is highly resource-demanding and employs elaborate laboratory steps for sample preparation. It starts with building a primary genome sequence assembly as an input, which is followed by computation for genome scaffolding using Hi-C data, requiring careful validation. This article presents technical considerations for obtaining optimal Hi-C scaffolding results and provides a test case of its application to a reptile species, the Madagascar ground gecko (Paroedura picta). Among the metrics that are frequently used for evaluating scaffolding results, we investigate the validity of the completeness assessment of chromosome-scale genome assemblies using single-copy reference orthologues.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromossomos / Genoma Limite: Animals País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromossomos / Genoma Limite: Animals País como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article