Single-feature polymorphism discovery in the barley transcriptome

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...

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Detalles Bibliográficos
Autores principales: Rostoks, Nils, Borevitz, Justin O, Hedley, Peter E, Russell, Joanne, Mudie, Sharon, Morris, Jenny, Cardle, Linda, Marshall, David F, Waugh, Robbie
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175974/
https://www.ncbi.nlm.nih.gov/pubmed/15960806
http://dx.doi.org/10.1186/gb-2005-6-6-r54
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author Rostoks, Nils
Borevitz, Justin O
Hedley, Peter E
Russell, Joanne
Mudie, Sharon
Morris, Jenny
Cardle, Linda
Marshall, David F
Waugh, Robbie
author_facet Rostoks, Nils
Borevitz, Justin O
Hedley, Peter E
Russell, Joanne
Mudie, Sharon
Morris, Jenny
Cardle, Linda
Marshall, David F
Waugh, Robbie
author_sort Rostoks, Nils
collection PubMed
description 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.
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spelling pubmed-11759742005-07-17 Single-feature polymorphism discovery in the barley transcriptome Rostoks, Nils Borevitz, Justin O Hedley, Peter E Russell, Joanne Mudie, Sharon Morris, Jenny Cardle, Linda Marshall, David F Waugh, Robbie Genome Biol Method 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. BioMed Central 2005 2005-05-11 /pmc/articles/PMC1175974/ /pubmed/15960806 http://dx.doi.org/10.1186/gb-2005-6-6-r54 Text en Copyright © 2005 Rostoks et al.; licensee BioMed Central Ltd.
spellingShingle Method
Rostoks, Nils
Borevitz, Justin O
Hedley, Peter E
Russell, Joanne
Mudie, Sharon
Morris, Jenny
Cardle, Linda
Marshall, David F
Waugh, Robbie
Single-feature polymorphism discovery in the barley transcriptome
title Single-feature polymorphism discovery in the barley transcriptome
title_full Single-feature polymorphism discovery in the barley transcriptome
title_fullStr Single-feature polymorphism discovery in the barley transcriptome
title_full_unstemmed Single-feature polymorphism discovery in the barley transcriptome
title_short Single-feature polymorphism discovery in the barley transcriptome
title_sort single-feature polymorphism discovery in the barley transcriptome
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175974/
https://www.ncbi.nlm.nih.gov/pubmed/15960806
http://dx.doi.org/10.1186/gb-2005-6-6-r54
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