A review of software for predicting gene function
A rich resource of information on functional genomics data can be applied to annotating the thousands of unknown gene functions that can be retrieved from most sequenced. High-throughput sequencing can lead to increased understanding of proteins and genes. We can infer networks of functional couplin...
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my.utm.559022017-08-25T07:06:07Z http://eprints.utm.my/id/eprint/55902/ A review of software for predicting gene function Loh, Swee Kuan Low, Swee Thing Mohamad, Mohd. Saberi Deris, Safaai Kasim, Shahreen Wen, Choon Yee Ibrahim, Zuwairie Susilo, Bambang Hendrawan, Yusuf Wardani, Agustin Krisna QA76 Computer software A rich resource of information on functional genomics data can be applied to annotating the thousands of unknown gene functions that can be retrieved from most sequenced. High-throughput sequencing can lead to increased understanding of proteins and genes. We can infer networks of functional couplings from direct and indirect interactions. The development of gene function prediction is one of the major recent advances in the bioinformatics fields. These methods explore genomic context by major recent advances in the bioinformatics fields rather than by sequence alignment. This paper reviews software related to predicting gene function. Most of these programs are freely available online. The advantages and disadvantages of each program are stated clearly in order for the reader to understand them in a simple way. Web links to the software are provided as well. Science and Engineering Research Support Society 2015 Article PeerReviewed Loh, Swee Kuan and Low, Swee Thing and Mohamad, Mohd. Saberi and Deris, Safaai and Kasim, Shahreen and Wen, Choon Yee and Ibrahim, Zuwairie and Susilo, Bambang and Hendrawan, Yusuf and Wardani, Agustin Krisna (2015) A review of software for predicting gene function. International Journal of Bio-Science and Bio-Technology, 7 (2). pp. 57-70. ISSN 2233-7849 http://dx.doi.org/10.14257/ijbsbt.2015.7.2.06 DOI:10.14257/ijbsbt.2015.7.2.06 |
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QA76 Computer software Loh, Swee Kuan Low, Swee Thing Mohamad, Mohd. Saberi Deris, Safaai Kasim, Shahreen Wen, Choon Yee Ibrahim, Zuwairie Susilo, Bambang Hendrawan, Yusuf Wardani, Agustin Krisna A review of software for predicting gene function |
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A rich resource of information on functional genomics data can be applied to annotating the thousands of unknown gene functions that can be retrieved from most sequenced. High-throughput sequencing can lead to increased understanding of proteins and genes. We can infer networks of functional couplings from direct and indirect interactions. The development of gene function prediction is one of the major recent advances in the bioinformatics fields. These methods explore genomic context by major recent advances in the bioinformatics fields rather than by sequence alignment. This paper reviews software related to predicting gene function. Most of these programs are freely available online. The advantages and disadvantages of each program are stated clearly in order for the reader to understand them in a simple way. Web links to the software are provided as well. |
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Article |
author |
Loh, Swee Kuan Low, Swee Thing Mohamad, Mohd. Saberi Deris, Safaai Kasim, Shahreen Wen, Choon Yee Ibrahim, Zuwairie Susilo, Bambang Hendrawan, Yusuf Wardani, Agustin Krisna |
author_facet |
Loh, Swee Kuan Low, Swee Thing Mohamad, Mohd. Saberi Deris, Safaai Kasim, Shahreen Wen, Choon Yee Ibrahim, Zuwairie Susilo, Bambang Hendrawan, Yusuf Wardani, Agustin Krisna |
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Loh, Swee Kuan |
title |
A review of software for predicting gene function |
title_short |
A review of software for predicting gene function |
title_full |
A review of software for predicting gene function |
title_fullStr |
A review of software for predicting gene function |
title_full_unstemmed |
A review of software for predicting gene function |
title_sort |
review of software for predicting gene function |
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Science and Engineering Research Support Society |
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2015 |
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http://eprints.utm.my/id/eprint/55902/ http://dx.doi.org/10.14257/ijbsbt.2015.7.2.06 |
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