Algebraic Statistics for Computational Biology Export

@book{citeulike:577076, abstract = {The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms for exact, accurate results. These algorithms can be applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for advanced undergraduate and beginning graduate courses.}, citeulike-article-id = {577076}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0521857007}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&path=ASIN/0521857007}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&path=ASIN/0521857007}, citeulike-linkout-3 = {http://www.amazon.co.uk/exec/obidos/ASIN/0521857007/citeulike00-21}, citeulike-linkout-4 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0521857007}, citeulike-linkout-5 = {http://www.worldcat.org/isbn/0521857007}, citeulike-linkout-6 = {http://books.google.com/books?vid=ISBN0521857007}, citeulike-linkout-7 = {http://www.amazon.com/gp/search?keywords=0521857007&index=books&linkCode=qs}, citeulike-linkout-8 = {http://www.librarything.com/isbn/0521857007}, editor = {Pachter, L. and Sturmfels, B.}, howpublished = {Hardcover}, isbn = {0521857007}, month = {August}, posted-at = {2008-09-15 07:19:31}, priority = {3}, publisher = {Cambridge University Press}, title = {Algebraic Statistics for Computational Biology}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0521857007}, year = {2005} }

TY - BOOK ID - citeulike:577076 L3 - citeulike-article-id:577076 N2 - The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms for exact, accurate results. These algorithms can be applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for advanced undergraduate and beginning graduate courses. SN - 0521857007 TI - Algebraic Statistics for Computational Biology PB - Cambridge University Press A2 - Pachter, L A2 - Sturmfels, B PY - 2005/08/22/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0521857007 ER -