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pyNBS: a Python implementation for network-based stratification of tumor mutations.
Huang, Justin K; Jia, Tongqiu; Carlin, Daniel E; Ideker, Trey.
Afiliación
  • Huang JK; Bioinformatics and Systems Biology Program, Bioengineering Department, UC San Diego, La Jolla, CA, USA.
  • Jia T; Department of Medicine, UC San Diego, La Jolla, CA, USA.
  • Carlin DE; Department of Medicine, UC San Diego, La Jolla, CA, USA.
  • Ideker T; Bioinformatics and Systems Biology Program, Bioengineering Department, UC San Diego, La Jolla, CA, USA.
Bioinformatics ; 34(16): 2859-2861, 2018 08 15.
Article en En | MEDLINE | ID: mdl-29608663
ABSTRACT

Summary:

We present pyNBS a modularized Python 2.7 implementation of the network-based stratification (NBS) algorithm for stratifying tumor somatic mutation profiles into molecularly and clinically relevant subtypes. In addition to release of the software, we benchmark its key parameters and provide a compact cancer reference network that increases the significance of tumor stratification using the NBS algorithm. The structure of the code exposes key steps of the algorithm to foster further collaborative development. Availability and implementation The package, along with examples and data, can be downloaded and installed from the URL https//github.com/idekerlab/pyNBS.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos