Hans-Peter Lenhof

TL;DR: The cancer‐associated protein database (CAP) is presented, a novel analysis system for cancer‐related data that integrates data from multiple external databases, augments these data with functional annotations, and offers tools for statistical analysis of these data.

TL;DR: BALL is designed and implemented, the first object-oriented application framework for rapid prototyping in Molecular Modeling, and provides fundamental components for import/export of data in various file formats, Molecular Mechanics simulations, three-dimensional visualization, and more complex ones like a numerical solver for the Poisson-Boltzmann equation.

TL;DR: REGGAE uses a Kolmogorov‐Smirnov‐like test statistic that implicitly combines associations between regulators and their target genes with an enrichment approach to prioritize the influence of transcriptional regulators and is a valuable tool for the elucidation of complex regulatory mechanisms.

TL;DR: A web-based application that enables clinical groups to carry out analyzes of training sets and predictions of unclassified seroreactivity profiles with minimal effort is developed, called SePaCS, which provides a broad range of classification methods.

TL;DR: The resulting interaction network, which is based on quantitative analysis of the abundance of miRNAs, mRNAs and proteins each taken from the same lung cancer tissue and from theSame autologous normal lung tissue confirms molecular pathological changes and further contributes to the discovery of altered signaling cascades in lung cancer.