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PMID: 14534186 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Reconstructing tumor genome architectures.

Bioinformatics (Oxford, England) ·Vol. 19 Suppl 2 ·2003-10-00 ·Pages ii162-71

Raphael BJ, Volik S, Collins C, Pevzner PA

Abstract

Although cancer progression is often associated with genome rearrangements, little is known about the detailed genomic architecture of tumor genomes. The attempt to reconstruct the genomic organization of a tumor genome recently resulted in the development of the End Sequence Profiling (ESP) technique, and the application of this technique to human MCF7 tumor cells. We formulate the ESP Genome Reconstruction Problem, and develop an algorithm to solve this problem in the case of sparse ESP data. We apply our algorithm to analyze human MCF7 tumor cells, and obtain the first reconstruction of the putative architecture of human MCF7 tumor genome. Our results assist in the ongoing ESP analysis of MCF7 tumors by suggesting additional ESP experiments for the completion of a reliable reconstruction of the MCF7 tumor genome, and by focusing BAC re-sequencing efforts.

MeSH Terms
Algorithms Base Sequence Breast Neoplasms/genetics Chromosome Mapping/methods DNA Mutational Analysis/methods DNA, Neoplasm/genetics Genetic Predisposition to Disease/genetics Humans Molecular Sequence Data Sequence Analysis, DNA/methods
Chemicals
DNA, Neoplasm
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Raphael Benjamin J
Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093-0114, USA. braphael@ucsd.edu
Volik Stanislav
Collins Colin
Pevzner Pavel A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2003-10-00
Pages
ii162-71
Language
English
Region
England
NLM ID
9808944
Subset
IM
Grants
NHGRI NIH HHS · 1 R01 HG02366 · United States
NCI NIH HHS · CA58207 · United States
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