Download e-book for kindle: Algebraic Statistics for Computational Biology by L. Pachter,B. Sturmfels

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By L. Pachter,B. Sturmfels

The quantitative research of organic series facts relies on equipment from records coupled with effective algorithms from machine technological know-how. Algebra presents a framework for unifying a few of the likely disparate strategies utilized by computational biologists. This booklet, first released in 2005, bargains an creation to this mathematical framework and describes instruments from computational algebra for designing new algorithms for targeted, actual effects. those algorithms should be utilized to organic difficulties reminiscent of aligning genomes, discovering genes and developing phylogenies. the 1st a part of this publication involves 4 chapters at the topics of information, Computation, Algebra and Biology, providing fast, self-contained introductions to the rising box of algebraic records and its purposes to genomics. within the moment half, the 4 subject matters are mixed and constructed to take on genuine difficulties in computational genomics. because the first publication within the intriguing and dynamic sector, it will likely be welcomed as a textual content for self-study or for complex undergraduate and starting graduate courses.

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

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