Linked Life Data

11891061

Source:http://linkedlifedata.com/resource/pubmed/id/11891061

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2002-3-13
pubmed:databankReference
pubmed:abstractText
In silico gene identification from finished and unfinished human genome sequence has become critically important in many projects seeking to gain insights into the gene content of genomic regions implicated in diseases. To establish limitations and criteria for in silico gene identification, and to identify novel genes of potential relevance to human prostate cancer and melanoma, 3 Mb of chromosome 1 sequence have been analyzed using GeneMachine. This program is a software suite comprising of sequence similarity programs and four gene identification programs. A total of 49 potential transcripts were selected and 37 of them were selected for experimental validation. We verified 16 of the predicted genes by experimental analysis. The comparison of the predicted transcripts with their cloned forms helped to refine predicted gene models as well as to identify splice variants for several of them. Although sequences matching with ten of our verified genes have been recently deposited in the GenBank, six of them remain novel. Our studies support the feasibility of identifying novel genes from regions of interest using draft human genome sequence.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0378-1119
pubmed:author
pubmed:issnType
Print
pubmed:day
6
pubmed:volume
284
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
203-13
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Identification of six novel genes by experimental validation of GeneMachine predicted genes.
pubmed:affiliation
Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. izabelam@psu.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't