國立高雄大學圖資館 |

Language: English

Back

Algorithms for next-generation seque...

Elloumi, Mourad.

Algorithms for next-generation sequencing datatechniques, approaches, and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algorithms for next-generation sequencing dataedited by Mourad Elloumi.
Reminder of title:	techniques, approaches, and applications /
other author:	Elloumi, Mourad.
Published:	Cham :Springer International Publishing :2017.
Description:	xiii, 355 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Nucleotide sequenceData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-59826-0
ISBN:	9783319598260$q(electronic bk.)

Algorithms for next-generation sequencing datatechniques, approaches, and applications /
Algorithms for next-generation sequencing datatechniques, approaches, and applications /[electronic resource] :edited by Mourad Elloumi. - Cham :Springer International Publishing :2017. - xiii, 355 p. :ill., digital ;24 cm.

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

ISBN: 9783319598260$q(electronic bk.)

Standard No.: 10.1007/978-3-319-59826-0doiSubjects--Topical Terms:

196418
Nucleotide sequence
--Data processing.

LC Class. No.: QP625.N89

Dewey Class. No.: 572.8633

Algorithms for next-generation sequencing datatechniques, approaches, and applications /
LDR:01414nmm a2200313 a 4500 001 522095
003 DE-He213
005 20170918141315.0
006 m d
007 cr nn 008maaau
008 180521s2017 gw s 0 eng d
020 $a 9783319598260$q(electronic bk.)
020 $a 9783319598246$q(paper)
024 7 $a 10.1007/978-3-319-59826-0 $2 doi
035 $a 978-3-319-59826-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QP625.N89
072 7 $a PSA $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a COM014000 $2 bisacsh
082 0 4 $a 572.8633 $2 23
090 $a QP625.N89 $b A396 2017
245 0 0 $a Algorithms for next-generation sequencing data $h [electronic resource] : $b techniques, approaches, and applications / $c edited by Mourad Elloumi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 355 p. : $b ill., digital ; $c 24 cm.
520 $a The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.
650 0 $a Nucleotide sequence $x Data processing. $3 196418
650 0 $a Computer algorithms. $3 184478
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Bioinformatics. $3 194415
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Elloumi, Mourad. $3 306141
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-59826-0
950 $a Computer Science (Springer-11645)