Linked Life Data

10395898

Source:http://linkedlifedata.com/resource/pubmed/id/10395898

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1999-8-17
pubmed:abstractText
Exact mapping of gene starts is an important problem in the computer-assisted functional analysis of newly sequenced prokaryotic genomes. We describe an algorithm for finding ribosomal binding sites without a learning sample. This algorithm is particularly useful for analysis of genomes with little or no experimentally mapped genes. There is a clear correlation between the ribosomal binding site (RBS) properties of a given genome and the potential gene start prediction accuracy. This correlation is of considerable predictive power and may be useful for estimating the expected success of future genome analysis efforts. We also demonstrate that the RBS properties depend on the phylogenetic position of a genome.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0378-1119
pubmed:author
pubmed:issnType
Print
pubmed:day
8
pubmed:volume
234
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
257-65
pubmed:dateRevised
2001-11-14
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Starts of bacterial genes: estimating the reliability of computer predictions.
pubmed:affiliation
GSF-Forschungszentrum f. Umwelt und Gesundheit, Munich Information Center for Protein Sequences am Max-Planck-Institut für Biochemie, Am Klopferspitz 18, D-82152, Martinsried, Germany. frishman@mips.biochem.mpg.de
pubmed:publicationType
Journal Article