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Genome-Scale Algorithm Design - Biological Sequence Analysis in the Era of High-Throughput Sequencing (Hardcover)
Loot Price: R1,353
Discovery Miles 13 530
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Genome-Scale Algorithm Design - Biological Sequence Analysis in the Era of High-Throughput Sequencing (Hardcover)
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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.
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