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Title

FunSys: Software for functional analysis of prokaryotic transcriptome and proteome

 

Authors

Pablo de Sá1, Anne Pinto2, Rommel Thiago Jucá Ramos1, Nilson Coimbra1, Rafael Baraúna1, Hivana Dall'Agnol1, Adriana Carneiro1, Alex Ranieri1, Agenor Valadares1, Vasco Azevedo2, Maria Paula Schneider1, Debmalya Barh3* & Artur Silva1

 

Affiliation

1Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém-PA, Brazil; 2Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil; 3Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India

 

Email

dr.barh@gmail.com; *Corresponding author

 

Article Type

Software

 

Date

Received May 14, 2012; Accepted May 20, 2012; Published June 16, 2012

Abstract

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

https://sourceforge.net/projects/funsysufpa/. It requires Sun jdk 6 or higher and MySQL server 5.1 or higher.

 

Keywords

Next-generation sequencing, Gene expression, Bioinformatics, Software

 

Citation

de Sá et al. Bioinformation 8(11): 529-531 (2012)

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.