❤[Read]⚡EBOOK Introduction Computational Metagenomics

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Introduction to Computational Metagenomics
Sinopsis :
Breakthroughs in high-throughput genome sequencing and
high-performance computing technologies have empowered
scientists to decode many genomes including our own. Now
they have a bigger ambition: to fully understand the vast
diversity of microbial communities within us and around us,
and to exploit their potential for the improvement of our health
and environment. In this new field called metagenomics,
microbial genomes are sequenced directly from the habitats
without lab cultivation. Computational metagenomics,
however, faces both a data challenge that deals with tens of
tera-bases of sequences and an algorithmic one that deals
with the complexity of thousands of species and their
interactions.This interdisciplinary book is essential reading for

those who are interested in beginning their own journey in
computational metagenomics. It is a prism to look through
various intricate computational metagenomics problems and
unravel their three distinctive aspects: metagenomics, data
engineering, and algorithms. Graduate students and advanced
undergraduates from genomics science or computer science
fields will find that the concepts explained in this book can
serve as stepping stones for more advanced topics, while
metagenomics practitioners and researchers from similar
disciplines may use it to broaden their knowledge or identify
new research
targets.Contents:PrefaceAcknowledgmentsComputational
Metagenomics: A Metagenomics PerspectiveComputational
Metagenomics: A Data Engineering PerspectiveComputational
Metagenomics: An Algorithmic PerspectiveHardware and
Software Aspects for Scalable AnalysisMetagenomics Data
Quality ImprovementExploring Community Diversity:
Taxonomical AnalysesFunctional Metagenomics: Gene and
Pathway-Based AnalysesDeconvolute Community
Metagenome into Single GenomesSingle Cell
MetagenomicsInteractions Between Microbes and Their
EnvironmentBibliographyIndexReadership: Graduate students
and advanced undergraduates from genomics science or
computer science fields, beginner researchers from similar
disciplines.