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SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing.
Sun, Zhifu; Baheti, Saurabh; Middha, Sumit; Kanwar, Rahul; Zhang, Yuji; Li, Xing; Beutler, Andreas S; Klee, Eric; Asmann, Yan W; Thompson, E Aubrey; Kocher, Jean-Pierre A.
Afiliación
  • Sun Z; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. sun.zhifu@mayo.edu
Bioinformatics ; 28(16): 2180-1, 2012 Aug 15.
Article en En | MEDLINE | ID: mdl-22689387
ABSTRACT
UNLABELLED Reduced representation bisulfite sequencing (RRBS) is a cost-effective approach for genome-wide methylation pattern profiling. Analyzing RRBS sequencing data is challenging and specialized alignment/mapping programs are needed. Although such programs have been developed, a comprehensive solution that provides researchers with good quality and analyzable data is still lacking. To address this need, we have developed a Streamlined Analysis and Annotation Pipeline for RRBS data (SAAP-RRBS) that integrates read quality assessment/clean-up, alignment, methylation data extraction, annotation, reporting and visualization. This package facilitates a rapid transition from sequencing reads to a fully annotated CpG methylation report to biological interpretation. AVAILABILITY AND IMPLEMENTATION SAAP-RRBS is freely available to non-commercial users at the web site http//ndc.mayo.edu/mayo/research/biostat/stand-alone-packages.cfm.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Metilación de ADN / Anotación de Secuencia Molecular Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Metilación de ADN / Anotación de Secuencia Molecular Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos