Journal article
Marker development for the genetic study of natural variation in Arabidopsis thaliana
Bioinformatics, Vol.23(22), pp.3108-3109
11/15/2007
Handle:
https://hdl.handle.net/2376/110114
PMID: 18025007
Abstract
We report AtPRIMER, an application that automates the discovery of new polymorphic markers between ecotypes of Arabidopsis thaliana. On specifying two ecotypes and the genomic region of interest, the script retrieves all corresponding single nucleotide polymorphisms (SNPs) and generates CAPS and/or dCAPS PCR primer sequences. We show that AtPRIMER accurately found specific polymorphic markers for our linkage mapping project. AtPRIMER will therefore be useful for efficient marker development with high density and specificity.
Availability: This PERL/CGI program is available for non-commercial users at http://www.AtPRIMER.tsl.ac.uk. The web-based version is available for public use at the same URL.
Contact: adnane.nemri@tsl.ac.uk
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Details
- Title
- Marker development for the genetic study of natural variation in Arabidopsis thaliana
- Creators
- Adnane Nemri - 1Sainsbury Laboratory, Norwich NR4 7UH, UK and 2Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USAMichael M Neff - 1Sainsbury Laboratory, Norwich NR4 7UH, UK and 2Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USAMichael Burrell - 1Sainsbury Laboratory, Norwich NR4 7UH, UK and 2Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USAJonathan D.G Jones - 1Sainsbury Laboratory, Norwich NR4 7UH, UK and 2Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USADavid J Studholme - 1Sainsbury Laboratory, Norwich NR4 7UH, UK and 2Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA
- Publication Details
- Bioinformatics, Vol.23(22), pp.3108-3109
- Academic Unit
- Crop and Soil Sciences, Department of
- Publisher
- Oxford University Press
- Identifiers
- 99900547478901842
- Language
- English
- Resource Type
- Journal article