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OrthoDisease: A database of human disease orthologs by Kevin P. O'Brien; Isabelle Westerlund; Erik L.L. Sonnhammer is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is OrthoDisease: A database of human disease orthologs about?
## Communicated by A. Jamie Cuticchia One of the greatest promises of genome sequencing projects is to further the understanding of human diseases and to develop new therapies. Model organism genomes have been sequenced in parallel to human genomes to provide effective tools for the investigation of human gene function. Many of their genes share a common ancestry and function with human genes, and this is particularly true for orthologous genes. Here we present OrthoDisease, a comprehensive database of model organism genes that are orthologous to human disease genes. OrthoDisease was constructed by applying the Inparanoid ortholog detection algorithm to disease genes derived from the Online Mendelian Inheritance in Man database (OMIM). Pairwise whole genome/proteome comparisons between Homo sapiens and six other organisms were performed to identify ortholog clusters. OMIM numbers were extracted from the OMIM Morbid Map and were converted to gene sequences using the Locuslink mim2loc and loc2acc tables. These were mapped to Inparanoid ortholog clusters using Blast. The number of ortholog clusters in OrthoDisease with each respective species is currently: M. musculus, 1,354; D. melan
Who reads OrthoDisease: A database of human disease orthologs?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Kevin P. O'Brien; Isabelle Westerlund; Erik L.L. Sonnhammer
- Publisher
- Hindawi Limited
- Published
- 2004
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)