Statistical Physics and Quantitative Biology
University of Cologne
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Genomic sequences and biomolecules

Sequence alignment is the most widely used data analysis tool in molecular biology. Detecting and quantifying sequence similarities is an intricate statistical problem, which has profound connections to the statistical physics of systems with quenched disorder. Other projects in this area are concerned with long-range correlations in genomes and with the statistics of RNA secondary structures.

The secondary structure of a random RNA molecule is frozen at low temperatures (a) and molten at higher temperatures (b).
Freezing of random RNA
M. Lässig and K. Wiese, Phys. Rev. Lett. 96, 228101, (2006)
Universality of log-range correlations in expansion-randomization systems
P.W. Messer, M. Lässig, and P.F. Arndt, J. Stat. Mech., P10004, (2005)
Solvable sequence evolution models and genomic correlations
P.W. Messer, P.F. Arndt, and M. Lässig, Phys. Rev. Lett. 94, 138103, (2005)
Toward an accurate statistics of gapped alignments
M. Kschischo, M. Lässig, and Y.-K. Yu, Bull. Math. Biol. 67, 169, (2005)
Evolutionary games and quasispecies
F. Tria, M. Lässig, L. Peliti, Europhys. Lett. 62, 446 (2003)
Scaling laws and similarity detection in sequence alignment with gaps
D. Drasdo, T. Hwa, and M. Lässig, J. Comput. Biol. 7, 115, (2000)
Finite-temperature sequence alignment
M. Kschischo and M. Lässig, Pacific Symposium on Biocomputing 5, (2000) (refereed)
Optimal detection of sequence similarity by local alignment
T. Hwa and M. Lässig, Proceedings of the second annual conference on computational molecular biology (RECOMB 98), ACM Press, New York (1998) (refereed)
Similarity detection and localization
T. Hwa and M. Lässig, Phys. Rev. Lett. 76, 2591, (1996)

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