TITLE

Bioinformatics approach to extract information from genes

AUTHOR(S)
Sridhar, G. R.; Divakar, C. H.; Hanuman, T.; Rao, Allam Appa
PUB. DATE
October 2006
SOURCE
International Journal of Diabetes in Developing Countries;Oct-Dec2006, Vol. 26 Issue 4, p149
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
With the widespread availability of nucleotide and amino acid sequences, novel methods for extracting biologically and clinically relevant knowledge are feasible. Data is deposited on the Internet on websites such as GeneCards, available at http://www.genecards.org/mirror.shtml. Further information can be obtained from related sites - UniProt (http://www.uniprot.org) and SwissProt (http://www.expasy.org.sprot/). Using FASTA and CLUSTAL_X programs, similarity scores can be calculated to choose items of interest. Further information can be obtained by mining text, either manually or increasingly using text-mining tools such as PathBinderH and GENIA corpus.
ACCESSION #
26266977

 

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