ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data.

TitleATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data.
Publication TypeJournal Article
Year of Publication2017
AuthorsGonzalez S, Clavijo B, Rivarola M, Moreno P, Fernandez P, Dopazo J, Paniego N
Journal TitleBMC bioinformatics
Volume18
Pages121
Journal Date2017 Feb 22
ISSN1471-2105
AbstractBACKGROUND: In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for evaluating differential gene expression by digital measurements. The large and complex datasets resulting from functional genomic experiments represent a challenge in data processing, management, and analysis. This problem is especially significant for small research groups working with non-model species. RESULTS: We developed a web-based application, called ATGC transcriptomics, with a flexible and adaptable interface that allows users to work with new generation sequencing (NGS) transcriptomic analysis results using an ontology-driven database. This new application simplifies data exploration, visualization, and integration for a better comprehension of the results. CONCLUSIONS: ATGC transcriptomics provides access to non-expert computer users and small research groups to a scalable storage option and simple data integration, including database administration and management. The software is freely available under the terms of GNU public license at http://atgcinta.sourceforge.net .
URLhttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1494-2
DOI10.1186/s12859-017-1494-2
Alternate JournalBMC Bioinformatics