title: Finite-temperature sequence alignment.
abstract: We develop a statistical theory of probabilistic sequence alignments derived from a 'thermodynamic' partition function at finite temperature. Such alignments are a generalization of those obtained from information-theoretic approaches. Finite-temperature statistics can be used to characterize the significance of an alignment and the reliability of its single element pairs.
authors.affiliation: Max-Planck Institut für Kolloid- und Grenzflächenforschung, Potsdam, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Kschischo
authors.forename: M
authors.initials: M
authors.lastname: Lässig
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D019277:Entropy; D007257:Information Theory; D008390:Markov Chains; D015233:Models, Statistical; D016415:Sequence Alignment / Q000379:methods* / Q000706:statistics & numerical data; D013696:Temperature; D013816:Thermodynamics