Algebraic Statistics for Computational Biology by L. Pachter,B. Sturmfels

By L. Pachter,B. Sturmfels

The quantitative research of organic series information relies on equipment from facts coupled with effective algorithms from computing device technological know-how. Algebra presents a framework for unifying a number of the likely disparate innovations utilized by computational biologists. This e-book, first released in 2005, deals an advent to this mathematical framework and describes instruments from computational algebra for designing new algorithms for certain, actual effects. those algorithms may be utilized to organic difficulties similar to aligning genomes, discovering genes and developing phylogenies. the 1st a part of this booklet comprises 4 chapters at the subject matters of information, Computation, Algebra and Biology, supplying quickly, self-contained introductions to the rising box of algebraic facts and its functions to genomics. within the moment half, the 4 subject matters are mixed and built to take on genuine difficulties in computational genomics. because the first booklet within the interesting and dynamic zone, it is going to be welcomed as a textual content for self-study or for complicated undergraduate and starting graduate courses.

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