ALC WWW-Platform

On this page, we collect all bioinformatics analyses for the Acute Leukemia Consortium of the NGFN Cancer Net that have been performed in the Computational Diagnostics Group of the Computational Molecular Biology Department at the Max Planck Institute for Molecular Genetics. In addition to single project analyses, we performed extensive comparative analyses between the projects.

Participating Partners

A2 - Department of Internal Medicine III, University of Ulm
Gene expression-based molecular classification and risk stratification in adult acute myeloid leukemia (AML) with normal karyotype
Lars Bullinger and Konstanze Döhner

B2 - University of Kiel
Molecular classification and risk stratification in patients with high risk childhood acute lymphoblastic leukemia based on gene expression profiling
Martin Schrappe

B3 - Charité Medical Center Berlin
Genomic analysis of resistant and relapsed childhood acute lymphoblastic leukemia to identify novel molecular risk factors of therapy failure
Christian Hagemeier, Wolf-Dieter Ludwig and Karl Seeger

C2 - Max Planck Institute for Molecular Genetics, Berlin
Bioinformatics, statistics and mathematical modeling in genomic research of leukemias
Rainer Spang

D1 - Institute of Pharm. Biology, JWG-University of Frankfurt
Identification of target genes of the nuclear proto-oncoprotein AF4 involved in t(4;11) high risk acute leukemia
Rolf Marschalek

E1 - Medicine III at University of Munich Hospital Grosshadern
Identification of target pathways of the CALM/AF10 fusion protein, which is found in AML and ALL
Stefan K. Bohlander