title: Online resources for genomic analysis using high-throughput sequencing.
abstract: The availability of high-throughput sequencing has created enormous possibilities for scientific discovery. However, the massive amount of data being generated has resulted in a severe informatics bottleneck. A large number of tools exist for analyzing next-generation sequencing (NGS) data, yet often there remains a disconnect between these research tools and the ability of many researchers to use them. As a consequence, several online resources and communities have been developed to assist researchers with both the management and the analysis of sequencing data sets. Here we describe the use and applications of common file formats for coding and storing genomic data, consider several web-accessible open-source resources for the visualization and analysis of NGS data, and provide examples of typical analyses with links to further detailed exercises.
authors: Department of Biochemistry and Molecular Biology, Penn State University, University Park, Pennsylvania 16802;
authors: Daniel
authors: D
authors: Blankenberg
authors: Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, Maryland 21211.
authors: James
authors: J
authors: Taylor
authors: Department of Biochemistry and Molecular Biology, Penn State University, University Park, Pennsylvania 16802;
authors: Anton
authors: A
authors: Nekrutenko
mesh_terms: D000818:Animals; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D020407:Internet; D014584:User-Computer Interface