BMC bioinformatics.
Publisher:
BioMed Central,
Country: England
Language: English
Start Year:2000 -
ISSN:
1471-2105 (Electronic)
1471-2105 (Linking)
1471-2105 (Linking)
Impact Factor
3
2022
| NLM ID: | 100965194 |
| (OCoLC): | 48656745 |
| LCCN: | 2001243458 |
Structural and functional-annotation of an equine whole genome oligoarray. The horse genome is sequenced, allowing equine researchers to use high-throughput functional genomics platforms such as microarrays; next-generation sequencing for gene expression and proteomics. However, for researchers to derive value from these functional genomics datasets, they must be able to model this data in biologically relevant ways; to do so requires that the equine genome be more fully annotated. There are two interrelated types of genomic annotation: structural and functional. Structural annotation is delineating and demarcating the genomic elements (such as genes, promoters, and ...
A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data. Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies have focused on disease classification, comparing experimental groups of effected to normal patients. Related experiments can be done to identify tissue-restricted biomarkers, genes with a high level of expression in one tissue compared to other tissue types in the body. Results: In this study, cartilage was compared with ten other body tissues using a two color array experimental design. Thirty-seven probe sets were identified as...