A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data

The emergence of high throughput data in genomic, proteomic and bioinformatics has increased the necessity to develop large amount of functional analysis tools to facilitate the inference of biologically meaningful data. A promising high throughput strategy, which is the gene-annotation enrichment a...

Full description

Bibliographic Details
Main Authors: Shi, Jing Lu, Muzaffar Shah, Farah Fathiah, Mohamad, Mohd Saberi, Moorthy, Kohbalan, Deris, Safaai, Zakaria, Zalmiyah, Napis, Suhaimi
Format: Article
Language:English
Published: Bentham Science Publishers 2015
Online Access:http://psasir.upm.edu.my/id/eprint/43575/1/A%20review%20on%20bioinformatics%20enrichment%20analysis%20tools%20towards%20functional%20analysis%20of%20high%20throughput%20gene%20set%20data.pdf
_version_ 1796974370786115584
author Shi, Jing Lu
Muzaffar Shah, Farah Fathiah
Mohamad, Mohd Saberi
Moorthy, Kohbalan
Deris, Safaai
Zakaria, Zalmiyah
Napis, Suhaimi
author_facet Shi, Jing Lu
Muzaffar Shah, Farah Fathiah
Mohamad, Mohd Saberi
Moorthy, Kohbalan
Deris, Safaai
Zakaria, Zalmiyah
Napis, Suhaimi
author_sort Shi, Jing Lu
collection UPM
description The emergence of high throughput data in genomic, proteomic and bioinformatics has increased the necessity to develop large amount of functional analysis tools to facilitate the inference of biologically meaningful data. A promising high throughput strategy, which is the gene-annotation enrichment analysis, can increase the elucidation ability of related biological processes. This paper reviews 35 bioinformatics enrichment tools and 5 gene set databases that are currently available in the field, which include the description of these tools and databases. This information can help tool developers and users to gain a broad view and better understanding on the bioinformatics enrichment tools and databases, enabling a better decision making in choosing tools in particular research interest.
first_indexed 2024-03-06T08:56:04Z
format Article
id upm.eprints-43575
institution Universiti Putra Malaysia
language English
last_indexed 2024-03-06T08:56:04Z
publishDate 2015
publisher Bentham Science Publishers
record_format dspace
spelling upm.eprints-435752016-07-21T04:52:42Z http://psasir.upm.edu.my/id/eprint/43575/ A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data Shi, Jing Lu Muzaffar Shah, Farah Fathiah Mohamad, Mohd Saberi Moorthy, Kohbalan Deris, Safaai Zakaria, Zalmiyah Napis, Suhaimi The emergence of high throughput data in genomic, proteomic and bioinformatics has increased the necessity to develop large amount of functional analysis tools to facilitate the inference of biologically meaningful data. A promising high throughput strategy, which is the gene-annotation enrichment analysis, can increase the elucidation ability of related biological processes. This paper reviews 35 bioinformatics enrichment tools and 5 gene set databases that are currently available in the field, which include the description of these tools and databases. This information can help tool developers and users to gain a broad view and better understanding on the bioinformatics enrichment tools and databases, enabling a better decision making in choosing tools in particular research interest. Bentham Science Publishers 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43575/1/A%20review%20on%20bioinformatics%20enrichment%20analysis%20tools%20towards%20functional%20analysis%20of%20high%20throughput%20gene%20set%20data.pdf Shi, Jing Lu and Muzaffar Shah, Farah Fathiah and Mohamad, Mohd Saberi and Moorthy, Kohbalan and Deris, Safaai and Zakaria, Zalmiyah and Napis, Suhaimi (2015) A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data. Current Proteomics, 12 (1). pp. 14-27. ISSN 1570-1646; ESSN: 1875-6247 http://benthamscience.com/journals/current-proteomics/volume/12/issue/1/page/14/ 10.2174/157016461201150506200927
spellingShingle Shi, Jing Lu
Muzaffar Shah, Farah Fathiah
Mohamad, Mohd Saberi
Moorthy, Kohbalan
Deris, Safaai
Zakaria, Zalmiyah
Napis, Suhaimi
A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title_full A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title_fullStr A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title_full_unstemmed A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title_short A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
title_sort review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
url http://psasir.upm.edu.my/id/eprint/43575/1/A%20review%20on%20bioinformatics%20enrichment%20analysis%20tools%20towards%20functional%20analysis%20of%20high%20throughput%20gene%20set%20data.pdf
work_keys_str_mv AT shijinglu areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT muzaffarshahfarahfathiah areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT mohamadmohdsaberi areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT moorthykohbalan areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT derissafaai areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT zakariazalmiyah areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT napissuhaimi areviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT shijinglu reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT muzaffarshahfarahfathiah reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT mohamadmohdsaberi reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT moorthykohbalan reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT derissafaai reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT zakariazalmiyah reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata
AT napissuhaimi reviewonbioinformaticsenrichmentanalysistoolstowardsfunctionalanalysisofhighthroughputgenesetdata