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...
Main Authors: | , , , , , , , , , |
---|---|
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/ 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 |
id |
ump-9216 |
---|---|
recordtype |
eprints |
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 http://www.sersc.org/journals/IJBSBT/vol7_no2/6.pdf DOI: 10.14257/ijbsbt.2015.7.2.0 6 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
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 |
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.
|
format |
Article |
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 |
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 |
publisher |
SERSC |
publishDate |
2015 |
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 |
first_indexed |
2023-09-18T22:07:34Z |
last_indexed |
2023-09-18T22:07:34Z |
_version_ |
1777414810193887232 |