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Books > Science & Mathematics > Biology, life sciences > Molecular biology
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Biological Evolution and Statistical Physics (Paperback, Softcover reprint of hardcover 1st ed. 2002)
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Biological Evolution and Statistical Physics (Paperback, Softcover reprint of hardcover 1st ed. 2002)
Series: Lecture Notes in Physics, 585
Expected to ship within 10 - 15 working days
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People have always asked what distinguishes the living from the
inanimate world and what uni?es the two. The ?elds of biology and
physics have a long history of exchange. Milestones at the
molecular level were the discoveries of the structure ofDNA, RNA,
andproteins. It is not by coincidence that this exchange has
intensi?ed in recent years. Laboratory experiments reach down to
the level of single molecules. Moreover,
thereisnowavastamountofgenomicinformation, whichisstillgrowingex-
nentially due to the various sequencing projects. Biologists
increasingly feel the need for theoretical models to interpret
these data in a quantitative way. At the sametime,
theoreticalphysicshasmadesigni?cantprogressinareaslikelyto be
relevant for the understanding of biological systems. Some
important ex- plesarecooperativephenomena,
statisticsfarfromthermodynamicequilibrium,
systemswithquencheddisorder, andsoftmatter. Some forms of
biological matter have indeed become established areas of -
searchwithinphysics, suchasbiomembranes, heteropolymers,
molecularmotors, microtubules,
neuralsystemsetc.Thisvolumeisfocusedonadi?erentaspect of the living
world that can be calledbiologicalinformation, itscoding, rep-
duction,
andevolution.Biologicalinformationistranslatedintostructuresand
patternsoveranenormousrangeofscales,
fromsinglebiomoleculestospecies networks coupled over entire
continents. Thestatisticaltheory of biological information lives
not only in three-dim- sional space. It involves various abstract
spaces in which this information is encodedandevolves,
suchasnucleotidesequences, genenetworks, ortopologies of the 'tree
of life'. The articles collected highlight a few directions of
research that may become important parts of this emerging ?eld. The
?rst part of the book, MolecularInformationandEvolution, startswith
twoarticlesonsequencesimilarityanalysis,
acentralthemeinbioinformatics which has surprisingly deep
connections to statistical physics. The genetic code, RNA,
andproteinsarethreeexamplesoftheintricateinterplayofsequence,
structure, andfunction
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