Assembly, Annotation, and Integration of UNIGENE Clusters into the Human Genome Draft
| Autor: | Bo Yuan, Solomon Gibbs, Jian Ping Wang, Wei D. Zhao, Fred A. Wright, Degen Zhuo, Dean Dai, Qing Yang, Do Hun Kwon, Joe Spitzner, Russell Sears, Al Stutz, Don Stredney, David Gordon, Hee Yung Yang, Ralf Krahe, Troy Baer |
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| Rok vydání: | 2001 |
| Předmět: |
Genetics
Databases Factual Positional cloning Contig Genome Human Computational Biology UniGene Context (language use) Genome project Computational biology Biology ENCODE Resources Alternative Splicing Genes Multigene Family Consensus Sequence Human Genome Project Humans Human genome Sequence Alignment Alleles Genetics (clinical) Reference genome |
| Zdroj: | Genome Research. 11:904-918 |
| ISSN: | 1088-9051 |
| DOI: | 10.1101/gr.gr-1645r |
| Popis: | The recent release of the first draft of the human genome provides an unprecedented opportunity to integrate human genes and their functions in a complete positional context. However, at least three significant technical hurdles remain: first, to assemble a complete and nonredundant human transcript index; second, to accurately place the individual transcript indices on the human genome; and third, to functionally annotate all human genes. Here, we report the extension of the UNIGENE database through the assembly of its sequence clusters into nonredundant sequence contigs. Each resulting consensus was aligned to the human genome draft. A unique location for each transcript within the human genome was determined by the integration of the restriction fingerprint, assembled genomic contig, and radiation hybrid (RH) maps. A total of 59,500 UNIGENE clusters were mapped on the basis of at least three independent criteria as compared with the 30,000 human genes/ESTs currently mapped in Genemap'99. Finally, the extension of the human transcript consensus in this study enabled a greater number of putative functional assignments than the 11,000 annotated entries in UNIGENE. This study reports a draft physical map with annotations for a majority of the human transcripts, called the Human Index of Nonredundant Transcripts (HINT). Such information can be immediately applied to the discovery of new genes and the identification of candidate genes for positional cloning. |
| Databáze: | OpenAIRE |
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