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Dicty research resources and Bioinformatics tools
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This Human Disease Causing Gene Homologues in Dictyostelium
Discoideum(HDGDD) is a collection of Dictyostelium genes homologous
to human disease associated genes in this favorite eucaryotic model organism
for biomedical research. 1410 Human disease associated genes
identified from Online Mendelian Inheritance in Man (OMIM) were compared with Dictyostelium genome by
BLAST comparisons.
Results are organized into a searchable and sortable catalogue with links to
DictyWorkbench, OMIM and other relevant databases. Results are further organized and analyzed for
associated disease types and signaling or metabolic pathways associated.
The following links will provide access to tables containing
comparisons between Dictyostelium discoideum and human proteins
involved in various diseases.
Browse Lists
Dictyostelium proteins with an associated human disease name.
Search Offers
an interface
to search by Dictyostelium ORFID, protein name, disease name, OMIMID etc.
Signaling
proteins among Dictyostelium genes with OMIM hits arranged by protein
category.
The HDGDD database is an Oracle object-relational database
with the query interface, Seeker, developed by Roger Unwin. The framework for the database was
abstracted from the Biology
WorkBench development and from the Alliance for Cellular Signaling(AFCS) Projects lead by
Dr.Shankar Subramaniam. The funding support for the above two projects came from the National
Institutes of Health (NIH) and
the National Science Foundation (NSF).
Questions Comments and Suggestions regarding this portal may be
addressed to reddy@sdsc.edu
*The Dictyostelium Genome Project : The Baylor Sequencing Center, Houston, Texas, (A. Kuspa and R.
Gibbs) where sequen
cing
is supported by the NIH; the Institute of Biochemistry, Cologne together with the Institute of
Molecular Biotechnology
,
Jena, Germany (G. Glckner , A. Rosenthal, L. Eichinger and A. Noegel) where sequencing is
supported by the Deutsch
e
Forschungsgemeinschaft (No 113/10-1 and 10-2).; and the EUDICT consortium supported by The
European Union (M-A.
Rajandream, D. Lawson and B. Barrell). Guidelines on use of data in publications are available at
http://www.sanger.ac.uk/Projects/use-policy.shtml
and http://www.uni-koeln.de/dictyostelium/guidelines.shtml.
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