A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing.

ABSTRACT: Transcriptomics (at the level of single cells, tissues and/or whole organisms) underpins many fields of biomedical science, from understanding the basic cellular function in model organisms, to the elucidation of the biological events that govern the development and progression of human diseases, and the exploration of the mechanisms of survival, drug-resistance and virulence of pathogens. Next-generation sequencing (NGS) technologies are contributing to a massive expansion of transcriptomics in all fields and are reducing the cost, time and performance barriers presented by conventional approaches. However, bioinformatic tools for the analysis of the sequence data sets produced by these technologies can be daunting to researchers with limited or no expertise in bioinformatics. Here, we co

SUBMITTER: Cantacessi C 

PROVIDER: S-EPMC2943614 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature