Genome-Scale Algorithm Design: Biological Sequence Analysis in

Description Specifications
Description
Genome-Scale Algorithm Design: Biological Sequence Analysis in the Era of High-Throughput Sequencing

High-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.
Specifications
Country USA
Brand Cambridge University Press
Manufacturer Cambridge University Press
Binding Hardcover
ItemPartNumber YES16846971
UnitCount 1
EANs 9781107078536
ReleaseDate 0000-00-00

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Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Mathematical and Computational Biology)

Deep Learning (Adaptive Computation and Machine Learning)

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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology

An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)

Next-Generation Sequencing Data Analysis

Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Mathematical and Computational Biology)

Deep Learning (Adaptive Computation and Machine Learning)

A First Course in Systems Biology

Country	USA
Brand	Cambridge University Press
Manufacturer	Cambridge University Press
Binding	Hardcover
ItemPartNumber	YES16846971
UnitCount	1
EANs	9781107078536
ReleaseDate	0000-00-00

Genome-Scale Algorithm Design: Biological Sequence Analysis in the Era of High-Throughput Sequencing

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