Linked Life Data

18424409

Source:http://linkedlifedata.com/resource/pubmed/id/18424409

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-4-21
pubmed:abstractText
Comparative genomic hybridization (CGH) can detect chromosomal deletions and amplifications of tumors, and various laboratories and public databases have accumulated a large number of CGH data, providing the opportunity to analyze the molecular mechanism of tumorigenesis in the whole genome. Tree models are generally used to study the history of biological formation and evolution in the field of bioinformatics, and evolutionary relationships between species are usually represented using phylogenetic tree. Tree models are also powerful bioinformatics tools to analyze CGH data and explore carcinogenesis. Two common tree models, the branching tree and the distanced-based tree, as well as their basic principles, methods are introduced detailedly, several technical problems in construction of tree models are discussed, and their applications in cancer research are reviewed systematically in this paper. As a generalization of single path linear model, tree models can more accurately conclude multigene, multistep, multipathway process of tumorigenesis, exploring the molecular mechanism of tumorigenesis from different angels. Apart from CGH data, tree models can be used to analyze various types of data, including high-resolution data (e.g., array-CGH data).
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0253-9772
pubmed:author
pubmed:issnType
Print
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
407-12
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
[Exploration of carcinogenesis based on tree models using CGH data].
pubmed:affiliation
Department of Pathology & Pathophysiology, School of Medicine, Zhejiang University, Hangzhou 310058, China. oboaixil@126.com
pubmed:publicationType
Journal Article, English Abstract, Review, Research Support, Non-U.S. Gov't