From evolutionary information to biophysical annotation
We develop the computational methods to integrate information theory with molecular biophysics, to bridge length and time scales, and to finally understand molecular and systems evolution by computational means.
"Nichts ist so praktisch wie eine gute Theorie.", A. Voßkuhle, Vice-President German Supreme Court
News
- [30|08|10] Paper accepted in Computational Biology and Chemistry on an algorithmic solution to information theoretical characterisation of Hidden Markov Models
- [26|08|10] Paper accepted on cryptographically secured signal computations (IEEE International Workshop on Information Forensics and Security)
- [04|08|10] Paper accepted in J. Comp. Chem. on "Efficient quantification of the importance of contacts for the dynamical stability of proteins"
- [01|07|10] Interview with C-Radar radio station on media analysis by information theory
- [24|06|10] Article on Carta.Info published on application of information theory in media
- [15|06|10] Acting as Guest Editor in the journal "Entropy": special issue on "Emergence of Information in Evolutionary Processes"
- [12|06|10] Paper accepted in BMC Bioinformatics on software for visual analytics of mutual information measures
- [10|06|10] Paper accepted in J. Comp. Phys. on "Efficient Perturbation Analysis of Elastic Network Models - Application to Acetylcholinesterase of T. californica"
- [14|04|10] Paper accepted in BMC Bioinformatics on software-package to annotate evolutionary changes at the (sub)molecular level.
- [03|04|10] Paper accepted in PROTEINS: Structure, Function, and Bioinformatics on coarse-grained amino acid alphabets.