By L. Pachter,B. Sturmfels

The quantitative research of organic series facts relies on tools from facts coupled with effective algorithms from computing device technological know-how. Algebra offers a framework for unifying the various possible disparate thoughts utilized by computational biologists. This ebook, first released in 2005, deals an advent to this mathematical framework and describes instruments from computational algebra for designing new algorithms for unique, actual effects. those algorithms will be utilized to organic difficulties akin to aligning genomes, discovering genes and developing phylogenies. the 1st a part of this publication comprises 4 chapters at the subject matters of records, Computation, Algebra and Biology, supplying fast, self-contained introductions to the rising box of algebraic facts and its functions to genomics. within the moment half, the 4 topics are mixed and built to take on actual difficulties in computational genomics. because the first publication within the interesting and dynamic sector, 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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