TargetCompare: A web interface to compare simultaneous miRNAs targets
MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling network. Therefore, it is of interest to study mult...
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Biomedical Informatics
2014
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209372/ |
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pubmed-42093722014-10-28 TargetCompare: A web interface to compare simultaneous miRNAs targets Moreira, Fabiano Cordeiro Dustan, Bruno Hamoy, Igor G Ribeiro-dos-Santos, André M dos Santos, Ândrea Ribeiro Software MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling network. Therefore, it is of interest to study multiple target genes simultaneously. Hence, we describe a web tool (developed using Java programming language and MySQL database server) to analyse multiple targets of pre-selected miRNAs. We cross validated the tool in eight most highly expressed miRNAs in the antrum region of stomach. This helped to identify 43 potential genes that are target of at least six of the referred miRNAs. The developed tool aims to reduce the randomness and increase the chance of selecting strong candidate target genes and miRNAs responsible for playing important roles in the studied tissue. Biomedical Informatics 2014-09-30 /pmc/articles/PMC4209372/ /pubmed/25352731 http://dx.doi.org/10.6026/97320630010602 Text en © 2014 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. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Moreira, Fabiano Cordeiro Dustan, Bruno Hamoy, Igor G Ribeiro-dos-Santos, André M dos Santos, Ândrea Ribeiro |
spellingShingle |
Moreira, Fabiano Cordeiro Dustan, Bruno Hamoy, Igor G Ribeiro-dos-Santos, André M dos Santos, Ândrea Ribeiro TargetCompare: A web interface to compare simultaneous miRNAs targets |
author_facet |
Moreira, Fabiano Cordeiro Dustan, Bruno Hamoy, Igor G Ribeiro-dos-Santos, André M dos Santos, Ândrea Ribeiro |
author_sort |
Moreira, Fabiano Cordeiro |
title |
TargetCompare: A web interface to compare simultaneous miRNAs targets |
title_short |
TargetCompare: A web interface to compare simultaneous miRNAs targets |
title_full |
TargetCompare: A web interface to compare simultaneous miRNAs targets |
title_fullStr |
TargetCompare: A web interface to compare simultaneous miRNAs targets |
title_full_unstemmed |
TargetCompare: A web interface to compare simultaneous miRNAs targets |
title_sort |
targetcompare: a web interface to compare simultaneous mirnas targets |
description |
MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function
in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling
network. Therefore, it is of interest to study multiple target genes simultaneously. Hence, we describe a web tool (developed using
Java programming language and MySQL database server) to analyse multiple targets of pre-selected miRNAs. We cross validated
the tool in eight most highly expressed miRNAs in the antrum region of stomach. This helped to identify 43 potential genes that are
target of at least six of the referred miRNAs. The developed tool aims to reduce the randomness and increase the chance of
selecting strong candidate target genes and miRNAs responsible for playing important roles in the studied tissue. |
publisher |
Biomedical Informatics |
publishDate |
2014 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209372/ |
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1613148767397085184 |