Your browser doesn't support javascript.
loading
ReSeqTools: an integrated toolkit for large-scale next-generation sequencing based resequencing analysis.
He, W; Zhao, S; Liu, X; Dong, S; Lv, J; Liu, D; Wang, J; Meng, Z.
Afiliação
  • He W; School of Bioscience and Bioengineering, South, China University of Technology, Guangzhou, Guangdong, China.
Genet Mol Res ; 12(4): 6275-83, 2013 Dec 04.
Article em En | MEDLINE | ID: mdl-24338423
Large-scale next-generation sequencing (NGS)-based resequencing detects sequence variations, constructs evolutionary histories, and identifies phenotype-related genotypes. However, NGS-based resequencing studies generate extraordinarily large amounts of data, making computations difficult. Effective use and analysis of these data for NGS-based resequencing studies remains a difficult task for individual researchers. Here, we introduce ReSeqTools, a full-featured toolkit for NGS (Illumina sequencing)-based resequencing analysis, which processes raw data, interprets mapping results, and identifies and annotates sequence variations. ReSeqTools provides abundant scalable functions for routine resequencing analysis in different modules to facilitate customization of the analysis pipeline. ReSeqTools is designed to use compressed data files as input or output to save storage space and facilitates faster and more computationally efficient large-scale resequencing studies in a user-friendly manner. It offers abundant practical functions and generates useful statistics during the analysis pipeline, which significantly simplifies resequencing analysis. Its integrated algorithms and abundant sub-functions provide a solid foundation for special demands in resequencing projects. Users can combine these functions to construct their own pipelines for other purposes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genet Mol Res Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: China País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genet Mol Res Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: China País de publicação: Brasil