Linked Life Data

17270871

Source:http://linkedlifedata.com/resource/pubmed/id/17270871

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-2-2
pubmed:abstractText
This work reports on a novel signal processing method that can be applied to analysis of genetic sequences in prokaryotes to identify their translational characteristics. The methodology involves computation of a signal based on free-energy score of the interaction between the 3' tail end of the 16S rRNA and the mRNA sequence of interest. We find that in the coding region of prokaryotes this signal is has a strong harmonic corresponding to every 3/sup rd/ base position. Noncoding regions appears not have such a signal. We discuss the methodology in detail and we demonstrate its ability to clearly recognize a) the coding region of a single prokaryotic gene, and b) special characteristics of the gene, such as frameshifts. We use E. Coli K-12 genes to illustrate the findings.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2848-51
pubmed:year
2004
pubmed:articleTitle
Free energy periodicity in prokaryotic coding and its role in identification of +1 ribosomal frameshifting in the Escherichia Coli K-12 gene prfb.
pubmed:affiliation
Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA.
pubmed:publicationType
Journal Article