NGS-Trex: Next Generation Sequencing Transcriptome profile explorer

被引:11
作者
Boria, Ilenia [1 ]
Boatti, Lara [2 ]
Pesole, Graziano [3 ,4 ]
Mignone, Flavio [2 ]
机构
[1] Univ Milan, Dipartimento Chim, Milan, Italy
[2] Univ Piemonte Orientale, Dipartimento Sci & Innovaz Tecnol, Alessandria, Italy
[3] Univ Bari A Moro, Dipartimento Biosci Biotecnol & Sci Farmacol, Bari, Italy
[4] CNR, Ist Biomembrane & Bioenerget, I-70126 Bari, Italy
来源
BMC BIOINFORMATICS | 2013年 / 14卷
关键词
RNA-SEQ;
D O I
10.1186/1471-2105-14-S7-S10
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Next-Generation Sequencing (NGS) technology has exceptionally increased the ability to sequence DNA in a massively parallel and cost-effective manner. Nevertheless, NGS data analysis requires bioinformatics skills and computational resources well beyond the possibilities of many "wet biology" laboratories. Moreover, most of projects only require few sequencing cycles and standard tools or workflows to carry out suitable analyses for the identification and annotation of genes, transcripts and splice variants found in the biological samples under investigation. These projects can take benefits from the availability of easy to use systems to automatically analyse sequences and to mine data without the preventive need of strong bioinformatics background and hardware infrastructure. Results: To address this issue we developed an automatic system targeted to the analysis of NGS data obtained from large-scale transcriptome studies. This system, we named NGS-Trex (NGS Transcriptome profile explorer) is available through a simple web interface http://www.ngs-trex.org and allows the user to upload raw sequences and easily obtain an accurate characterization of the transcriptome profile after the setting of few parameters required to tune the analysis procedure. The system is also able to assess differential expression at both gene and transcript level (i.e. splicing isoforms) by comparing the expression profile of different samples. By using simple query forms the user can obtain list of genes, transcripts, splice sites ranked and filtered according to several criteria. Data can be viewed as tables, text files or through a simple genome browser which helps the visual inspection of the data. Conclusions: NGS-Trex is a simple tool for RNA-Seq data analysis mainly targeted to "wet biology" researchers with limited bioinformatics skills. It offers simple data mining tools to explore transcriptome profiles of samples investigated taking advantage of NGS technologies.
引用
收藏
页数:8
相关论文
共 9 条
  • [1] Statistical Design and Analysis of RNA Sequencing Data
    Auer, Paul L.
    Doerge, R. W.
    [J]. GENETICS, 2010, 185 (02) : 405 - U32
  • [2] Poly (A)+ Transcriptome Assessment of ERBB2-Induced Alterations in Breast Cell Lines
    Carraro, Dirce Maria
    Ferreira, Elisa Napolitano
    Molina, Gustavo de Campos
    Puga, Renato David
    Abrantes, Eduardo Fernandes
    Trape, Adriana Priscila
    Ekhardt, Bedrich L.
    Nunes, Diana Noronha
    Brentani, Maria Mitzi
    Arap, Wadih
    Pasqualini, Renata
    Brentani, Helena
    Dias-Neto, Emmanuel
    Brentani, Ricardo Renzo
    [J]. PLOS ONE, 2011, 6 (06):
  • [3] Uncovering the Complexity of Transcriptomes with RNA-Seq
    Costa, Valerio
    Angelini, Claudia
    De Feis, Italia
    Ciccodicola, Alfredo
    [J]. JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2010,
  • [4] Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
    Goecks, Jeremy
    Nekrutenko, Anton
    Taylor, James
    [J]. GENOME BIOLOGY, 2010, 11 (08):
  • [5] GeneProf: analysis of high-throughput sequencing experiments
    Halbritter, Florian
    Vaidya, Harsh J.
    Tomlinson, Simon R.
    [J]. NATURE METHODS, 2012, 9 (01) : 7 - 8
  • [6] A COMPARISON OF STATISTICAL METHODS FOR DETECTING DIFFERENTIALLY EXPRESSED GENES FROM RNA-SEQ DATA
    Kvam, Vanessa M.
    Lu, Peng
    Si, Yaqing
    [J]. AMERICAN JOURNAL OF BOTANY, 2012, 99 (02) : 248 - 256
  • [7] NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data
    Patel, Ravi K.
    Jain, Mukesh
    [J]. PLOS ONE, 2012, 7 (02):
  • [8] TopHat: discovering splice junctions with RNA-Seq
    Trapnell, Cole
    Pachter, Lior
    Salzberg, Steven L.
    [J]. BIOINFORMATICS, 2009, 25 (09) : 1105 - 1111
  • [9] GMAP: a genomic mapping and alignment program for mRNA and EST sequences
    Wu, TD
    Watanabe, CK
    [J]. BIOINFORMATICS, 2005, 21 (09) : 1859 - 1875