TY - JOUR T1 - ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data. JF - BMC Bioinformatics Y1 - 2017 A1 - Gonzalez, Sergio A1 - Clavijo, Bernardo A1 - Rivarola, Máximo A1 - Moreno, Patricio A1 - Fernandez, Paula A1 - Dopazo, Joaquin A1 - Paniego, Norma KW - Animals KW - Databases, Genetic KW - Gene Expression Profiling KW - High-Throughput Nucleotide Sequencing KW - Internet KW - Sequence Analysis, RNA KW - Transcriptome KW - User-Computer Interface AB -

BACKGROUND: 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 .

VL - 18 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/28222698?dopt=Abstract ER -