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Sunday, September 03, 2000

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find related articles. powered by google. BioNews GeneDis
"GeneDis - a Database of Human Genetic Diseases which contains a graphical interface that enables users to interact with the database using bioinformatic tools.

http://life2.tau.ac.il/GeneDis

The Bioinformatics Unit at Tel-Aviv University announces the release of a new version of GeneDis - a Database of Human Genetic Disease which contains a graphical interface that enables users to interact with the database using bioinformatic tools. GeneDis, accessible free of charge on the Internet at http://life2.tau.ac.il/GeneDis/, contains currently 12 Human Genetic Diseases, including Colon Cancer, Congenital Adrenal Hyperplasia, Congenital Heart Disease, Deafness, FMF, Gaucher, Krabbe Disease, Long QT Syndrome, Obesity, Rett Syndrome, Tay Sachs and Wilson's Disease.

GeneDis enables the user to submit protein and DNA sequences as a query sequence. This sequence is searched for mutations relative to the wild-type sequence, yielding a pairwise alignment output that highlights mutations, a unique feature of this database. In the cases of known mutations, a hyperlink to the mutation table provides information on the location at the genomic DNA, cDNA and protein sequences, relevant article(s), and in some cases, the severity of the disease associated with the mutation, and a three-dimensional (3D) structure.

In addition, the user can compare a query sequence against all sequences present in GeneDis. The output contains pairwise alignments between the query and possible homologous sequences. New relationships between phenotypes related to different human genetic diseases can be studied through information on mutations present in homologous sequences.”


[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.

BIOINFORMATICS IN THE 21st CENTURY

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