By L. Pachter,B. Sturmfels

The quantitative research of organic series information relies on tools from facts coupled with effective algorithms from laptop technology. Algebra presents a framework for unifying the various probably disparate thoughts utilized by computational biologists. This e-book, first released in 2005, bargains an creation to this mathematical framework and describes instruments from computational algebra for designing new algorithms for specified, actual effects. those algorithms will be utilized to organic difficulties corresponding to aligning genomes, discovering genes and developing phylogenies. the 1st a part of this booklet contains 4 chapters at the topics of statistics, 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 ebook within the fascinating and dynamic sector, will probably 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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