|
Exceptional Chromosome Regions Workshop I |
John Quackenbush, Ingeborg Holt, Feng Liang, Geo Pertea, Jonathan Upton,
and Thomas S. Hansen
The Institute for Genomic Research, Rockville, MD 20850
A goal of the Human Genome Project is identification of the complete set of
human genes and the role played by these genes in development and disease. The
sequencing of Expressed Sequence Tags (ESTs) has provided a first glimpse of
the collection of transcribed sequences in humans and other organisms, but significant
additional information can be obtained by a thorough analysis of the EST data.
TIGR's analysis of the world's collection of EST sequence data, captured in
our Gene Indices, provides assembled consensus sequences that are of high confidence
and represent our best estimate of the collection of transcribed sequences underlying
the ESTs. In addition to the Human Gene Index (HGI), we maintain Gene Indices
for a variety of other species, including mouse, rat, Drosophila, zebrafish,
rice, tomato, and Arabidopsis. Collectively, the Gene Indices represent
a unique resource for the comparative analysis of mammalian genes and may provide
insight into gene function, regulation, and evolution.
We have recently expanded the TIGR Gene Index project to include quarterly
releases, expanded annotation, integration with mapping and genomic sequence
data, and more robust search capabilities. In addition, we are developing a
database of mammalian orthologues based on comparison of the human, mouse, and
rat TC sequences and a web-based presentation to allow the data to be effectively
explored. This database will provide direct links between the human, mouse,
and rat assemblies and represent the most extensive catalog of eukaryotic orthologues
available, providing a valuable resource for gene identification, elucidation
of functional domains, and analysis of gene and genome evolution.
Base URL: www.ornl.gov/meetings/ecr1/
Site sponsored by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research, Human Genome Program