000			03054nam a22004098i 4500
001			CR9781139940023
005			20250919142055.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			140226s2015||||enk o ||1 0|eng|d
020			_a9781139940023 (ebook)
020			_z9781107078536 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH447 _b.M3522 2015
082	0	0	_a572.8/629 _223
100	1		_aMäkinen, Veli, _eauthor.
245	1	0	_aGenome-scale algorithm design : _bbiological sequence analysis in the era of high-throughput sequencing / _cVeli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu, University of Heisinki, Finland.
264		1	_aCambridge : _bCambridge University Press, _c2015.
300			_a1 online resource (xxii, 391 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aMolecular biology and high-throughput sequencing -- Algorithm design -- Data structures -- Graphs -- Network flows -- Alignments -- Hidden Markov models (HMMs) -- Classical indexes -- Burrows-Wheeler indexes -- Read alignment -- Genome analysis and comparison -- Genome compression -- Fragment assembly -- Genomics -- Transcriptomics -- Metagenomics.
520			_aHigh-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows-Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise formulations, providing graduate students and researchers in bioinformatics and computer science with a powerful toolkit for the emerging applications of high-throughput sequencing.
650		0	_aGenomics.
650		0	_aGenomes _xData processing.
700	1		_aBelazzougui, Djamal, _eauthor.
700	1		_aCunial, Fabio, _eauthor.
700	1		_aTomescu, Alexandru I., _eauthor.
776	0	8	_iPrint version: _z9781107078536
856	4	0	_uhttps://doi.org/10.1017/CBO9781139940023
907			_a.b16848986 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16848986
999			_c652241 _d652241