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Genome-Scale Algorithm Design : Biological Sequence Analysis in the Era of High-Throughput Sequencing by Alexandru I. Tomescu, Fabio Cunial, Djamal Belazzougui and Veli Mäkinen (2023, Hardcover)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-101009341235
ISBN-139781009341233
eBay Product ID (ePID)24061236449
Product Key Features
Number of Pages487 Pages
LanguageEnglish
Publication NameGenome-Scale Algorithm Design : Biological Sequence Analysis in the Era of High-Throughput Sequencing
Publication Year2023
SubjectLife Sciences / Biology, Bioinformatics
TypeTextbook
Subject AreaComputers, Science
AuthorAlexandru I. Tomescu, Fabio Cunial, Djamal Belazzougui, Veli Mäkinen
FormatHardcover
Dimensions
Item Height1.2 in
Item Length9.8 in
Item Width6.9 in
Additional Product Features
Edition Number2
LCCN2023-017673
Reviews'This book is very effective in addressing its intended target of graduate students in bioinformatics or computer science with a well-structured but highly accessible description of the fundamental algorithms and data structures that power standard sequence analysis workflows.' Romeo Rizzi, University of Verona
Dewey Edition23
IllustratedYes
Dewey Decimal572.8629
Table Of ContentPart I. Preliminaries: 1. Molecular biology and high-throughput sequencing; 2. Algorithm design; 3. Data structures; 4. Graphs; 5. Network flows; Part II. Fundamentals of Biological Sequence Analysis: 6. Alignments; 7. Hidden Markov models; Part III. Genome-Scale Index Structures: 8. Classical indexes; 9. Burrows-Wheeler indexes; Part IV. Genome-Scale Algorithms: 10. Alignment-based genome analysis; 11. Alignment-free genome analysis and comparison; 12. Compression of genome collections; 13. Fragment assembly; Part V. Applications: 14. Haplotype analysis; 15. Pangenomics; 16. Transcriptomics; 17. Metagenomics; References; Index.
SynopsisGuided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate students, researchers, and professionals in bioinformatics and computer science offers a unified presentation of genome-scale algorithms. This new edition covers the use of minimizers and other advanced data structures in pangenomics approaches., Presenting the fundamental algorithms and data structures that power bioinformatics workflows, this book covers a range of topics from the foundations of sequence analysis (alignments and hidden Markov models) to classical index structures (k-mer indexes, suffix arrays, and suffix trees), Burrows-Wheeler indexes, graph algorithms, network flows, and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualizations, and exercises, providing graduate students, researchers, and practitioners with a powerful algorithmic toolkit for the applications of high-throughput sequencing. An accompanying website (www.genome-scale.info) offers supporting teaching material. The second edition strengthens the toolkit by covering minimizers and other advanced data structures and their use in emerging pangenomics approaches.
LC Classification NumberQH447.M3522 2023
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