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Nucleic Acids Research
Article . 2003 . Peer-reviewed
Data sources: Crossref
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BayGenomics: a resource of insertional mutations in mouse embryonic stem cells

Authors: Roy E. Lee; Alice Yee; Stephen G. Young; Patricia C. Babbitt; William C. Skarnes; Doug Stryke; Leslie A. King; +8 Authors

BayGenomics: a resource of insertional mutations in mouse embryonic stem cells

Abstract

The BayGenomics gene-trap resource (http://baygenomics.ucsf.edu) provides researchers with access to thousands of mouse embryonic stem (ES) cell lines harboring characterized insertional mutations in both known and novel genes. Each cell line contains an insertional mutation in a specific gene. The identity of the gene that has been interrupted can be determined from a DNA sequence tag. Approximately 75% of our cell lines contain insertional mutations in known mouse genes or genes that share strong sequence similarities with genes that have been identified in other organisms. These cell lines readily transmit the mutation to the germline of mice and many mutant lines of mice have already been generated from this resource. BayGenomics provides facile access to our entire database, including sequence tags for each mutant ES cell line, through the World Wide Web. Investigators can browse our resource, search for specific entries, download any portion of our database and BLAST sequences of interest against our entire set of cell line sequence tags. They can then obtain the mutant ES cell line for the purpose of generating knockout mice.

Keywords

Mice, Knockout, Internet, Stem Cells, Genomics, Embryo, Mammalian, Cell Line, Mice, Mutagenesis, Insertional, User-Computer Interface, Mutation, Animals, Databases, Nucleic Acid

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    Top 10%
    influence
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citations
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!
223
Top 10%
Top 1%
Top 1%
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