Linked Life Data

3383003

Source:http://linkedlifedata.com/resource/pubmed/id/3383003

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1988-8-4
pubmed:abstractText
We describe software for aligning protein or nucleic acid sequences based on the concept of match density. This method is especially useful for locating regions of short similarity between two longer sequences which may be largely dissimilar (e.g. locating active site regions in distantly related proteins). Our software is able to identify biologically interesting similarities between two sub-regions because it allows the user to control the matching parameters and the manner in which local alignments are selected for display. Furthermore, the collection and ranking of alignments for display uses a novel, highly efficient algorithm. We illustrate these features with several examples. In addition, we show that this tool can be used to find a new conserved sequence in several viral DNA polymerases, which, we suggest, occurs at a functionally important enzymatic site.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0266-7061
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
35-40
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1988
pubmed:articleTitle
A software tool for finding locally optimal alignments in protein and nucleic acid sequences.
pubmed:affiliation
Department of Molecular and Cellular Biology, University of Arizona, Tucson 85721.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.