DNAFSMiner: A web-based software toolbox to recognize two types of functional sites in DNA sequences

Liu, H; Han, H; Li, J; Wong, L

DNAFSMiner: A web-based software toolbox to recognize two types of functional sites in DNA sequences

Liu, H Han, H Li, J

Wong, L

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Publication Type:: Journal Article
Citation:: Bioinformatics, 2005, 21 (5), pp. 671 - 673
Issue Date:: 2005-03-01

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Field	Value	Language
dc.contributor.author	Liu, H	en_US
dc.contributor.author	Han, H	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0003-1833-7413	en_US
dc.contributor.author	Wong, L https://orcid.org/0000-0003-1241-5441	en_US
dc.date.issued	2005-03-01	en_US
dc.identifier.citation	Bioinformatics, 2005, 21 (5), pp. 671 - 673	en_US
dc.identifier.issn	1367-4803	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14954
dc.description.abstract	Summary: DNAFSMiner (DNA Functional Sites Miner) is a web-based software toolbox to recognize functional sites in nucleic acid sequences. Currently in this toolbox, we provide two software: TIS Miner and Poly(A) Signal Miner. The TIS Miner can be used to predict translation initiation sites in vertebrate DNA/mRNA/cDNA sequences, and the Poly(A) Signal Miner can be used to predict polyadenylation [poly(A)] signals in human DNA sequences. The prediction results are better than those by literature methods on two benchmark applications. This good performance is mainly attributable to our unique learning method. DNAFSMiner is available free of charge for academic and non-profit organizations. © The Author 2004. Published by Oxford University Press. All rights reserved.	en_US
dc.relation.ispartof	Bioinformatics	en_US
dc.relation.isbasedon	10.1093/bioinformatics/bth437	en_US
dc.subject.classification	Bioinformatics	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Sequence Alignment	en_US
dc.subject.mesh	Sequence Analysis, DNA	en_US
dc.subject.mesh	Structure-Activity Relationship	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Artificial Intelligence	en_US
dc.subject.mesh	Internet	en_US
dc.subject.mesh	Software	en_US
dc.subject.mesh	Database Management Systems	en_US
dc.subject.mesh	Information Storage and Retrieval	en_US
dc.subject.mesh	Pattern Recognition, Automated	en_US
dc.title	DNAFSMiner: A web-based software toolbox to recognize two types of functional sites in DNA sequences	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	21	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
dc.location.activity	Hong Kong
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

Summary: DNAFSMiner (DNA Functional Sites Miner) is a web-based software toolbox to recognize functional sites in nucleic acid sequences. Currently in this toolbox, we provide two software: TIS Miner and Poly(A) Signal Miner. The TIS Miner can be used to predict translation initiation sites in vertebrate DNA/mRNA/cDNA sequences, and the Poly(A) Signal Miner can be used to predict polyadenylation [poly(A)] signals in human DNA sequences. The prediction results are better than those by literature methods on two benchmark applications. This good performance is mainly attributable to our unique learning method. DNAFSMiner is available free of charge for academic and non-profit organizations. © The Author 2004. Published by Oxford University Press. All rights reserved.

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http://hdl.handle.net/10453/14954