Cargando…

FunSys: Software for functional analysis of prokaryotic transcriptome and proteome

The vast amount of data produced by next-generation sequencing (NGS) has necessitated the development of computational tools to assist in understanding the myriad functions performed by the biological macromolecules involved in heredity. In this work, we developed the FunSys programme, a stand-alone...

Descripción completa

Detalles Bibliográficos
Autores principales: de Sá, Pablo, Pinto, Anne, Ramos, Rommel Thiago Jucá, Coimbra, Nilson, Baraúna, Rafael, Dall'Agnol, Hivana, Carneiro, Adriana, Ranieri, Alex, Valadares, Agenor, Azevedo, Vasco, Schneider, Maria Paula, Barh, Debmalya, Silva, Artur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398771/
https://www.ncbi.nlm.nih.gov/pubmed/22829724
http://dx.doi.org/10.6026/97320630008529
_version_ 1782238318909456384
author de Sá, Pablo
Pinto, Anne
Ramos, Rommel Thiago Jucá
Coimbra, Nilson
Baraúna, Rafael
Dall'Agnol, Hivana
Carneiro, Adriana
Ranieri, Alex
Valadares, Agenor
Azevedo, Vasco
Schneider, Maria Paula
Barh, Debmalya
Silva, Artur
author_facet de Sá, Pablo
Pinto, Anne
Ramos, Rommel Thiago Jucá
Coimbra, Nilson
Baraúna, Rafael
Dall'Agnol, Hivana
Carneiro, Adriana
Ranieri, Alex
Valadares, Agenor
Azevedo, Vasco
Schneider, Maria Paula
Barh, Debmalya
Silva, Artur
author_sort de Sá, Pablo
collection PubMed
description The vast amount of data produced by next-generation sequencing (NGS) has necessitated the development of computational tools to assist in understanding the myriad functions performed by the biological macromolecules involved in heredity. In this work, we developed the FunSys programme, a stand-alone tool with an user friendly interface that enables us to evaluate and correlate differential expression patterns from RNA sequencing and proteomics datasets. The FunSys generates charts and reports based on the results of the analysis of differential expression to aid the interpretation of the results. AVAILABILITY: FunSys and a test dataset are freely available at https://sourceforge.net/projects/funsysufpa/. It requires Sun jdk 6 or higher and MySQL server 5.1 or higher.
format Online
Article
Text
id pubmed-3398771
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Biomedical Informatics
record_format MEDLINE/PubMed
spelling pubmed-33987712012-07-24 FunSys: Software for functional analysis of prokaryotic transcriptome and proteome de Sá, Pablo Pinto, Anne Ramos, Rommel Thiago Jucá Coimbra, Nilson Baraúna, Rafael Dall'Agnol, Hivana Carneiro, Adriana Ranieri, Alex Valadares, Agenor Azevedo, Vasco Schneider, Maria Paula Barh, Debmalya Silva, Artur Bioinformation Software The vast amount of data produced by next-generation sequencing (NGS) has necessitated the development of computational tools to assist in understanding the myriad functions performed by the biological macromolecules involved in heredity. In this work, we developed the FunSys programme, a stand-alone tool with an user friendly interface that enables us to evaluate and correlate differential expression patterns from RNA sequencing and proteomics datasets. The FunSys generates charts and reports based on the results of the analysis of differential expression to aid the interpretation of the results. AVAILABILITY: FunSys and a test dataset are freely available at https://sourceforge.net/projects/funsysufpa/. It requires Sun jdk 6 or higher and MySQL server 5.1 or higher. Biomedical Informatics 2012-06-16 /pmc/articles/PMC3398771/ /pubmed/22829724 http://dx.doi.org/10.6026/97320630008529 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Software
de Sá, Pablo
Pinto, Anne
Ramos, Rommel Thiago Jucá
Coimbra, Nilson
Baraúna, Rafael
Dall'Agnol, Hivana
Carneiro, Adriana
Ranieri, Alex
Valadares, Agenor
Azevedo, Vasco
Schneider, Maria Paula
Barh, Debmalya
Silva, Artur
FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title_full FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title_fullStr FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title_full_unstemmed FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title_short FunSys: Software for functional analysis of prokaryotic transcriptome and proteome
title_sort funsys: software for functional analysis of prokaryotic transcriptome and proteome
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398771/
https://www.ncbi.nlm.nih.gov/pubmed/22829724
http://dx.doi.org/10.6026/97320630008529
work_keys_str_mv AT desapablo funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT pintoanne funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT ramosrommelthiagojuca funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT coimbranilson funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT baraunarafael funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT dallagnolhivana funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT carneiroadriana funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT ranierialex funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT valadaresagenor funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT azevedovasco funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT schneidermariapaula funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT barhdebmalya funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome
AT silvaartur funsyssoftwareforfunctionalanalysisofprokaryotictranscriptomeandproteome