Abstract
A probe-level model for analysis of GeneChip gene-expression data is presented which identified more than 10,000 single-feature polymorphisms (SFP) between two barley genotypes. The method has good sensitivity, as 67% of known single-nucleotide polymorphisms (SNP) were called as SFPs. This method is applicable to all oligonucleotide microarray data, accounts for SNP effects in gene-expression data and represents an efficient and versatile approach for highly parallel marker identification in large genomes.
| Original language | English |
|---|---|
| Article number | R54 |
| Journal | Genome Biology |
| Volume | 6 |
| Issue number | 6 |
| DOIs | |
| Publication status | Print publication - May 2005 |
| Externally published | Yes |
Keywords
- Animal Genetics and Genomics
- Bioinformatics
- Evolutionary Biology
- Golden Promise
- Human Genetics
- International Collaborative Project
- Microbial Genetics and Genomics
- Mutation Surveyor Software
- Oregon Wolfe Barley
- Plant Genetics & Genomics
- Sequence Polymorphism