Linked Life Data

15810617

Source:http://linkedlifedata.com/resource/pubmed/id/15810617

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2005-4-6
pubmed:abstractText
The results of studies based on multilocus molecular analyses, including random amplified polymorphic DNA (RAPD), inter-simple sequence repeat (ISSR), and amplified fragment length polymorphism (AFLP) analyses, are usually presented in the form of images (electrophoregrams, photographs, etc.). The interpretation of this information is complicated, labor-consuming, and subjective. Artificial neural networks (ANNs), which are ideal "image processors," may be useful when solving such tasks. The possibility of using ANNs for the treatment of the results of RAPD and ISSR analyses has been studied. The RAPD and ISSR spectra have been studied in fragments of DNA of plants from the genus Capsicum L. (peppers). The results of clustering the accessions studied by means of the unweighted pair-group method with arithmetic averages (UPGMA), which is often used for phylogenetic constructions based on RAPD and ISSR data, serve as expert estimates. Fundamentally new methods of genetic polymorphism estimation using ANN technologies, namely, self-organizing feature maps (SOFMs) have been developed. The results show that the clusters obtained with the use of UPGMA and SOFM coincide by more than 90%; taking into account that ANNs can deal with high noise levels and incomplete or contradictory data, the approach proposed may prove to be efficient.
pubmed:language
rus
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0016-6758
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
269-78
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
[Kohonen network study of the results of RAPD and ISSR analyses of genomic polymorphism in the genus Capsicum L].
pubmed:publicationType
Journal Article, English Abstract