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Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants.
Basile, Anna O; Byrska-Bishop, Marta; Wallace, John; Frase, Alexander T; Ritchie, Marylyn D.
Afiliação
  • Basile AO; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
  • Byrska-Bishop M; Biomedical and Translational Informatics Institute, Geisinger, Danville, PA, 17822 USA.
  • Wallace J; Biomedical and Translational Informatics Institute, Geisinger, Danville, PA, 17822 USA.
  • Frase AT; Biomedical and Translational Informatics Institute, Geisinger, Danville, PA, 17822 USA.
  • Ritchie MD; Biomedical and Translational Informatics Institute, Geisinger, Danville, PA, 17822 USA.
Bioinformatics ; 34(3): 527-529, 2018 02 01.
Article em En | MEDLINE | ID: mdl-28968757
ABSTRACT
Motivation BioBin is an automated bioinformatics tool for the multi-level biological binning of sequence variants. Herein, we present a significant update to BioBin which expands the software to facilitate a comprehensive rare variant analysis and incorporates novel features and analysis enhancements.

Results:

In BioBin 2.3, we extend our software tool by implementing statistical association testing, updating the binning algorithm, as well as incorporating novel analysis features providing for a robust, highly customizable, and unified rare variant analysis tool. Availability and implementation The BioBin software package is open source and freely available to users at http//www.ritchielab.com/software/biobin-download. Contact mdritchie@geisinger.edu. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Software / Estudos de Associação Genética Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Software / Estudos de Associação Genética Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article