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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Bentham Science Publishers
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43575/ 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_ | 1848850265351913472 |
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| 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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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 | 2025-11-15T10:03:32Z |
| format | Article |
| id | upm-43575 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:03:32Z |
| publishDate | 2015 |
| publisher | Bentham Science Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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/ http://psasir.upm.edu.my/id/eprint/43575/ http://psasir.upm.edu.my/id/eprint/43575/ 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 |