Your browser doesn't support javascript.
loading
DRAW+SneakPeek: analysis workflow and quality metric management for DNA-seq experiments.
Lin, Chiao-Feng; Valladares, Otto; Childress, D Micah; Klevak, Egor; Geller, Evan T; Hwang, Yih-Chii; Tsai, Ellen A; Schellenberg, Gerard D; Wang, Li-San.
Afiliación
  • Lin CF; Department of Pathology and Laboratory Medicine and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA, Department of Physics, University of Washington, Seattle, WA 98105, USA, Genomics and Computational Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA and Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104,
Bioinformatics ; 29(19): 2498-500, 2013 Oct 01.
Article en En | MEDLINE | ID: mdl-23943636
ABSTRACT

SUMMARY:

We report our new DRAW+SneakPeek software for DNA-seq analysis. DNA resequencing analysis workflow (DRAW) automates the workflow of processing raw sequence reads including quality control, read alignment and variant calling on high-performance computing facilities such as Amazon elastic compute cloud. SneakPeek provides an effective interface for reviewing dozens of quality metrics reported by DRAW, so users can assess the quality of data and diagnose problems in their sequencing procedures. Both DRAW and SneakPeek are freely available under the MIT license, and are available as Amazon machine images to be used directly on Amazon cloud with minimal installation.

AVAILABILITY:

DRAW+SneakPeek is released under the MIT license and is available for academic and nonprofit use for free. The information about source code, Amazon machine images and instructions on how to install and run DRAW+SneakPeek locally and on Amazon elastic compute cloud is available at the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (http//www.niagads.org/) and Wang lab Web site (http//wanglab.pcbi.upenn.edu/).
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diseño de Software / ADN / Biometría / Análisis de Secuencia de ADN Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diseño de Software / ADN / Biometría / Análisis de Secuencia de ADN Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article