TRUFA: A User-Friendly Web Server for de novo RNA-seq Analysis Using Cluster Computing.

ABSTRACT: Application of next-generation sequencing (NGS) methods for transcriptome analysis (RNA-seq) has become increasingly accessible in recent years and are of great interest to many biological disciplines including, eg, evolutionary biology, ecology, biomedicine, and computational biology. Although virtually any research group can now obtain RNA-seq data, only a few have the bioinformatics knowledge and computation facilities required for transcriptome analysis. Here, we present TRUFA (TRanscriptome User-Friendly Analysis), an open informatics platform offering a web-based interface that generates the outputs commonly used in de novo RNA-seq analysis and comparative transcriptomics. TRUFA provides a comprehensive service that allows performing dynamically raw read cleaning, transcript assembly

SUBMITTER: Kornobis E 

PROVIDER: S-EPMC4444131 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature