Linked Life Data

16873483

Source:http://linkedlifedata.com/resource/pubmed/id/16873483

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
14
pubmed:dateCreated
2006-7-28
pubmed:abstractText
Novel sequencing techniques can give access to organisms that are difficult to cultivate using conventional methods. When applied to environmental samples, the data generated has some drawbacks, e.g. short length of assembled contigs, in-frame stop codons and frame shifts. Unfortunately, current gene finders cannot circumvent these difficulties. At the same time, the automated prediction of genes is a prerequisite for the increasing amount of genomic sequences to ensure progress in metagenomics.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e281-9
pubmed:dateRevised
2009-11-4
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Finding novel genes in bacterial communities isolated from the environment.
pubmed:affiliation
Bielefeld University, Center for Biotechnology (CeBiTec), D-33594 Bielefeld, Germany. Lutz.Krause@CeBiTec.Uni-Bielefeld.DE
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't, Evaluation Studies