Document Detail


Future tools for association mapping in crop plants.
MedLine Citation:
PMID:  21076517     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Association mapping currently relies on the identification of genetic markers. Several technologies have been adopted for genetic marker analysis, with single nucleotide polymorphisms (SNPs) being the most popular where a reasonable quantity of genome sequence data are available. We describe several tools we have developed for the discovery, annotation, and visualization of molecular markers for association mapping. These include autoSNPdb for SNP discovery from assembled sequence data; TAGdb for the identification of gene specific paired read Illumina GAII data; CMap3D for the comparison of mapped genetic and physical markers; and BAC and Gene Annotator for the online annotation of genes and genomic sequences.
Authors:
Chris Duran; Dominic Eales; Daniel Marshall; Michael Imelfort; Jiri Stiller; Paul J Berkman; Terry Clark; Megan McKenzie; Nikki Appleby; Jacqueline Batley; Kaye Basford; David Edwards
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Genome / National Research Council Canada = Génome / Conseil national de recherches Canada     Volume:  53     ISSN:  1480-3321     ISO Abbreviation:  Genome     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-11-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8704544     Medline TA:  Genome     Country:  Canada    
Other Details:
Languages:  eng     Pagination:  1017-23     Citation Subset:  IM    
Affiliation:
University of Queensland, Australian Centre for Plant Functional Genomics, School of Land, Crop and Food Sciences, Brisbane, Australia.
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