Guided 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.
Guided 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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Veli Mäkinen is Professor of Computer Science at the University of Helsinki, where he leads a research team on genome-scale algorithmics. He has taught advanced courses on algorithm design and analysis, string processing, data compression, and algorithmic genome analysis, as well as introductory courses on bioinformatics.
Inhaltsangabe
Part 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.
Part 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.
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