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Digger: directed annotation of immunoglobulin and T cell receptor V, D, and J gene sequences and assemblies.
Lees, William D; Saha, Swati; Yaari, Gur; Watson, Corey T.
Afiliação
  • Lees WD; Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel.
  • Saha S; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, Kentucky 40292, United States.
  • Yaari G; Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel.
  • Watson CT; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, Kentucky 40292, United States.
Bioinformatics ; 40(3)2024 Mar 04.
Article em En | MEDLINE | ID: mdl-38478393
ABSTRACT

SUMMARY:

Knowledge of immunoglobulin and T cell receptor encoding genes is derived from high-quality genomic sequencing. High-throughput sequencing is delivering large volumes of data, and precise, high-throughput approaches to annotation are needed. Digger is an automated tool that identifies coding and regulatory regions of these genes, with results comparable to those obtained by current expert curational methods. AVAILABILITY AND IMPLEMENTATION Digger is published under open source license at https//github.com/williamdlees/Digger and is available as a Python package and a Docker container.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Receptores de Antígenos de Linfócitos T Idioma: En Revista: Bioinformatics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Receptores de Antígenos de Linfócitos T Idioma: En Revista: Bioinformatics Ano de publicação: 2024 Tipo de documento: Article