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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Research@WURarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Research@WUR
Part of book or chapter of book . 2005
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Linking cDNA-AFLP-based gene expression patterns and ESTs.

Authors: Qin Ling; Prins, J.C.P.; Helder, J.;

Linking cDNA-AFLP-based gene expression patterns and ESTs.

Abstract

Massive amounts of DNA sequence data, generated from expressed sequence tag (EST) and genome sequencing projects, require efficient methods to link sequence databases with temporal and spatial expression profiles. To meet this need, we have developed a powerful computer program (GenEST), which links cDNA sequence data (including EST sequences) with transcript profiles revealed by cDNA-amplified fragment length polymorphism (AFLP). cDNA-AFLP is a highly reproducible differential display method based on restriction enzyme digests and selective amplification under high stringency conditions. GenEST predicts the sizes of virtual transcript derived fragments (TDFs) from cDNA sequences digested in silico. The resulting virtual TDFs could be traced back among the thousands of TDFs displayed on cDNA-AFLP gels. As a consequence, cDNA sequence databases can be screened very efficiently to identify genes with relevant expression profiles. Vice versa, using the restriction enzyme recognition sites, the primer extensions and the estimated TDF size as identifiers, the DNA sequence(s) corresponding to a TDF with an interesting expression pattern can be identified.

Country
Netherlands
Related Organizations
Keywords

Expressed Sequence Tags, DNA, Complementary, Models, Genetic, Gene Expression Profiling, Computational Biology, DNA, Sequence Analysis, DNA, Polymerase Chain Reaction, Automation, Gene Expression Regulation, Genetic Techniques, Data Interpretation, Statistical, Life Science, Humans, RNA, Programming Languages, Software, DNA Primers, Gene Library

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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