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Transcriptome-based exon capture enables highly cost-effective comparative genomic data collection at moderate evolutionary scales

Overview of attention for article published in BMC Genomics, August 2012
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Title
Transcriptome-based exon capture enables highly cost-effective comparative genomic data collection at moderate evolutionary scales
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-403
Pubmed ID
Authors

Ke Bi, Dan Vanderpool, Sonal Singhal, Tyler Linderoth, Craig Moritz, Jeffrey M Good

Abstract

To date, exon capture has largely been restricted to species with fully sequenced genomes, which has precluded its application to lineages that lack high quality genomic resources. We developed a novel strategy for designing array-based exon capture in chipmunks (Tamias) based on de novo transcriptome assemblies. We evaluated the performance of our approach across specimens from four chipmunk species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 425 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
Germany 3 <1%
Australia 3 <1%
Brazil 3 <1%
United Kingdom 2 <1%
Canada 2 <1%
Spain 2 <1%
Mexico 2 <1%
Portugal 1 <1%
Other 3 <1%
Unknown 388 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 140 33%
Researcher 95 22%
Student > Master 46 11%
Student > Doctoral Student 33 8%
Professor > Associate Professor 20 5%
Other 56 13%
Unknown 35 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 292 69%
Biochemistry, Genetics and Molecular Biology 52 12%
Environmental Science 12 3%
Earth and Planetary Sciences 4 <1%
Social Sciences 3 <1%
Other 11 3%
Unknown 51 12%