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Alternative Splicing
Haplotype Estimation
Entropy-LD
HNB
GandrKB
Group Members
Publications
Contact Us
Links
Seminars
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Welcome
to the WWW Pages of the Bioinformatics department
of the Max Delbrück Center for Molecular Medicine.
We are a bioinformatics work group
(formerly a biomathematics group established
in the 1970s). We apply mathematical methods
to solve statistical and combinatorial problems
in biosciences. Special fields of our work
are genome analysis, genetics, protein sequence
analysis and genetic epidemiology.
Services
04/26/2007:Please notice, that the IGMS system was shutdown at the end of april and will not coming back!
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- Alternative Splicing
Search the EST database for alternative splice forms in a query mRNA or protein.
- Haplotype Estimation
Prediction of haplotype frequencies via the Maximum Likelihood
algorithm. Genetic data of core families or independent probands
can be uploaded for analysis.
- Multilocus LD calculation
Calculation of linkage disequilibrium (LD) values for haplotypes using an
entropy-based multilocus LD measure. The haplotypes and their frequencies
can either be uploaded into a web-based calculator or the ANSI-C sources for
a stand-alone program can be downloaded for repeated use.
- Simulation of SNP sequences
Simulation of haplotypic and genotypic data of single nucleotide polymorphisms (SNP) in haplotype blocks, with an optional genotype-dependent assignment of a phenotype (affection status or quantitative trait).
- Webbased GandrKB (Gene annotation data representation)
An ontology and knowledgebase describing gene functions enabeling
biologists to annotate (multiple) genes on Affymetrix Microarrays per
simple /drag and drop/. Annotation-concepts and genes can be linked for
fast and intuitive context-exploration and extensive querying. Generated
gene annotations can be interactively explored as semantic networks with
advanced visualisation tools.
- HNB
Helmholtz Network for Bioinformatics.
- Comparative Sequence Analysis
Exploitation of evolutionary information that is traceable in biological sequence data. (Peer Bork).
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