Get Algebraic Statistics for Computational Biology PDF

By L. Pachter,B. Sturmfels

The quantitative research of organic series information is predicated on tools from records coupled with effective algorithms from machine technology. Algebra offers a framework for unifying some of the probably disparate options utilized by computational biologists. This publication, first released in 2005, deals an creation to this mathematical framework and describes instruments from computational algebra for designing new algorithms for certain, exact effects. those algorithms might be utilized to organic difficulties reminiscent of aligning genomes, discovering genes and developing phylogenies. the 1st a part of this ebook contains 4 chapters at the topics of records, Computation, Algebra and Biology, supplying fast, self-contained introductions to the rising box of algebraic facts and its purposes to genomics. within the moment half, the 4 topics are mixed and built to take on genuine difficulties in computational genomics. because the first e-book within the fascinating and dynamic quarter, will probably be welcomed as a textual content for self-study or for complicated undergraduate and starting graduate courses.

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


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