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Genome data mining for everyone

Authors
Lee, Gir WonKim, Sangsoo
Issue Date
30-Nov-2008
Publisher
KOREAN SOCIETY BIOCHEMISTRY & MOLECULAR BIOLOGY
Keywords
Bioinformatics; Computational biology; Data mining; Genome Browser; Genome sequences
Citation
BMB REPORTS, v.41, no.11, pp.757 - 764
Journal Title
BMB REPORTS
Volume
41
Number
11
Start Page
757
End Page
764
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/16767
DOI
10.5483/BMBRep.2008.41.11.757
ISSN
1976-6696
Abstract
The genomic sequences of a huge number of species have been determined. Typically, these genome sequences and the associated annotation data are accessed through Intemet-based genome browsers that offer a user-friendly interface. intelligent use of the data should expedite biological knowledge discovery. Such activity is collectively called data mining and involves queries that can be simple, complex, and even combinational. Various tools have been developed to make genome data mining available to computational and experimental biologists alike. In this mini-review, some tools that have proven successful will be introduced along with examples taken from published reports. [BMB reports 2008; 41(11): 757-764]
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