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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Main Authors: Zuwairie, Ibrahim, Swee, Kuan Loha, Swee, Thing Low, Mohd Saberi, Mohamad, Safaai, Deris, Shahreen, Kasim, Choon, Yee Wen, Susilo, Bambang, Hendrawan, Yusuf, Wardani, Agustin Krisna
Format: Article
Language:English
Published: SERSC 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/9216/
http://umpir.ump.edu.my/id/eprint/9216/1/A%20Review%20of%20Software%20for%20Predicting%20Gene%20Function.pdf
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author Zuwairie, Ibrahim
Swee, Kuan Loha
Swee, Thing Low
Mohd Saberi, Mohamad
Safaai, Deris
Shahreen, Kasim
Choon, Yee Wen
Susilo, Bambang
Hendrawan, Yusuf
Wardani, Agustin Krisna
author_facet Zuwairie, Ibrahim
Swee, Kuan Loha
Swee, Thing Low
Mohd Saberi, Mohamad
Safaai, Deris
Shahreen, Kasim
Choon, Yee Wen
Susilo, Bambang
Hendrawan, Yusuf
Wardani, Agustin Krisna
author_sort Zuwairie, Ibrahim
building UMP Institutional Repository
collection Online Access
description 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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institution Universiti Malaysia Pahang
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publishDate 2015
publisher SERSC
recordtype eprints
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spelling ump-92162018-02-08T03:28:38Z http://umpir.ump.edu.my/id/eprint/9216/ A Review of Software for Predicting Gene Function Zuwairie, Ibrahim Swee, Kuan Loha Swee, Thing Low Mohd Saberi, Mohamad Safaai, Deris Shahreen, Kasim Choon, Yee Wen Susilo, Bambang Hendrawan, Yusuf Wardani, Agustin Krisna TK Electrical engineering. Electronics Nuclear engineering 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. SERSC 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9216/1/A%20Review%20of%20Software%20for%20Predicting%20Gene%20Function.pdf Zuwairie, Ibrahim and Swee, Kuan Loha and Swee, Thing Low and Mohd Saberi, Mohamad and Safaai, Deris and Shahreen, Kasim and Choon, Yee Wen 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 (IJBSBT), 7 (2). pp. 57-70. ISSN 2233-7849. (Published) http://www.sersc.org/journals/IJBSBT/vol7_no2/6.pdf DOI: 10.14257/ijbsbt.2015.7.2.0 6
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zuwairie, Ibrahim
Swee, Kuan Loha
Swee, Thing Low
Mohd Saberi, Mohamad
Safaai, Deris
Shahreen, Kasim
Choon, Yee Wen
Susilo, Bambang
Hendrawan, Yusuf
Wardani, Agustin Krisna
A Review of Software for Predicting Gene Function
title 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_short A Review of Software for Predicting Gene Function
title_sort review of software for predicting gene function
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/9216/
http://umpir.ump.edu.my/id/eprint/9216/
http://umpir.ump.edu.my/id/eprint/9216/
http://umpir.ump.edu.my/id/eprint/9216/1/A%20Review%20of%20Software%20for%20Predicting%20Gene%20Function.pdf