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PMID: 14962929 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

GeneAnnot: comprehensive two-way linking between oligonucleotide array probesets and GeneCards genes.

Bioinformatics (Oxford, England) ·Vol. 20 ·No. 9 ·2004-06-12 ·Pages 1457-8

Chalifa-Caspi V, Yanai I, Ophir R, Rosen N, Shmoish M, Benjamin-Rodrig H, Shklar M, Stein TI, Shmueli O, Safran M, Lancet D

Abstract

High density oligonucleotide arrays are usually annotated in a one-to-one fashion, with each probeset assigned to one gene. However, in reality, subsets of oligonucleotides in a probeset may match sequences within more than one gene, potentially leading to misinterpretations. Moreover, a gene is often represented by more than one probeset, and analyzing probe matches at the mRNA level can help one deduce whether these probesets are derived from the same or different splice variants. The GeneAnnot system comprehensively documents the many-to-many relationship between oligonucleotide array probesets and annotated genes in GeneCards. It performs pairwise alignments between the probe sequences and gene transcripts, and assigns sensitivity and specificity scores to each probeset/gene pair. http://genecards.weizmann.ac.il/geneannot/ Program description and statistics http://genecards.weizmann.ac.il/geneannot/DOC/index.html

MeSH Terms
Algorithms Chromosome Mapping/methods Documentation/methods Oligonucleotide Array Sequence Analysis/methods Sequence Alignment/methods Sequence Analysis, DNA/methods Software
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Chalifa-Caspi Vered
Department of Biological Services, Weizmann Institute of Science, Rehovot, Israel.
Yanai Itai
Ophir Ron
Rosen Naomi
Shmoish Michael
Benjamin-Rodrig Hila
Shklar Maxim
Stein Tsippi Iny
Shmueli Orit
Safran Marilyn
Lancet Doron
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2004-06-12
Epub
2004-00-12
Pages
1457-8
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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