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020 _a9783319249667
_z978-3-319-24966-7
024 7 _a10.1007/978-3-319-24966-7
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
050 4 _aQH324.2-324.25
072 7 _aPSA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aPSA
_2thema
072 7 _aUB
_2thema570.285
_223
100 1 _aErciyes, Kayhan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aDistributed and Sequential Algorithms for Bioinformatics /
_cby Kayhan Erciyes.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aComputational Biology,
_x1568-2684 ;
_v23
520 _aThis unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant sequential algorithms. In addition to introducing the latest algorithms in this area, more than fifteen new distributed algorithms are also proposed. Topics and features: Reviews a range of open challenges in biological sequences and networks, beginning with an informal description of the problem before defining it formally Describes in detail both sequential and parallel/distributed algorithms for each problem, briefly discussing software packages if there are any available Suggests approaches for distributed algorithms as possible extensions to sequential algorithms, when the distributed algorithms for the topic are scarce Proposes a number of new distributed algorithms in each chapter, to serve as potential starting points for further research Concludes each chapter with self-test exercises, a summary of the key points, a comparison of the algorithms described, and a literature review This clearly-written and easy to follow work is ideal as a textbook for graduate and senior undergraduate students of computer science and biology, and as a self-study guide for any interested reader with a basic background in discrete mathematic s and algorithms. Researchers in bioinformatics will also find the book to be a useful reference on this subject. Dr. K. Erciyes is Rector of Izmir University, Turkey, where he also serves as a professor in the Computer Engineering Department. His other publications include the Springer title Distributed Graph Algorithms for Computer Networks.
650 0 _aBioinformatics.
650 0 _aComputer software.
650 0 _aComputer science.
650 1 4 _aComputational Biology/Bioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/I23050
650 2 4 _aAlgorithm Analysis and Problem Complexity.
_0http://scigraph.springernature.com/things/product-market-codes/I16021
650 2 4 _aSystems Biology.
_0http://scigraph.springernature.com/things/product-market-codes/P27050
650 2 4 _aMath Applications in Computer Science.
_0http://scigraph.springernature.com/things/product-market-codes/I17044
710 2 _aSpringerLink (Online service)
856 4 0 _3Springer eBooks
_zOnline access link to the resource
_uhttps://doi.org/10.1007/978-3-319-24966-7
942 _2lcc
_cEBK
041 _aeng