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SNP2RFLP: a computational tool to facilitate genetic mapping using benchtop analysis of SNPs

SNP2RFLP: a computational tool to facilitate genetic mapping using benchtop analysis of SNPs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3001109

SNP2RFLP: a computational tool to facilitate genetic mapping using benchtop analysis of SNPs

About this item

Full title

SNP2RFLP: a computational tool to facilitate genetic mapping using benchtop analysis of SNPs

Publisher

New York: New York : Springer-Verlag

Journal title

Mammalian genome, 2008-12, Vol.19 (10-12), p.687-690

Language

English

Formats

Publication information

Publisher

New York: New York : Springer-Verlag

More information

Scope and Contents

Contents

Genome-wide analysis of single nucleotide polymorphism (SNP) markers is an extremely efficient means for genetic mapping of mutations or traits in mice. However, this approach often defines a relatively large recombinant interval. To facilitate the refinement of this interval, we developed the program SNP2RFLP. This program can be used to identify region-specific SNPs in which the polymorphic nucleotide creates a restriction fragment length polymorphism (RFLP) that can be readily assayed at the benchtop using restriction enzyme digestion of SNP-containing PCR products. The program permits user-defined queries that maximize the informative markers for a particular application. This facilitates fine-mapping in a region containing a mutation of interest, which should prove valuable to the mouse genetics community. SNP2RFLP and further details are publicly available at http://genetics.bwh.harvard.edu/snp2rflp/....

Alternative Titles

Full title

SNP2RFLP: a computational tool to facilitate genetic mapping using benchtop analysis of SNPs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3001109

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3001109

Other Identifiers

ISSN

0938-8990

E-ISSN

1432-1777

DOI

10.1007/s00335-008-9149-2

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