Integrated bioinformatics solutions have become increasingly
valuable in past years, as technological advances have allowed
researchers to consider the potential of omics for clinical
diagnosis, prognosis, and therapeutic purposes, and as the costs of
such techniques have begun to lessen. In Bioinformatics Methods in
Clinical Research, experts examine the latest developments
impacting clinical omics, and describe in great detail the
algorithms that are currently used in publicly available software
tools. Chapters discuss statistics, algorithms, automated methods
of data retrieval, and experimental consideration in genomics,
transcriptomics, proteomics, and metabolomics. Composed in the
highly successful Methods in Molecular Biology series format, each
chapter contains a brief introduction, provides practical examples
illustrating methods, results, and conclusions from data mining
strategies wherever possible, and includes a Notes section which
shares tips on troubleshooting and avoiding known pitfalls.
Informative and ground-breaking, Bioinformatics Methods in
Clinical Research establishes a much-needed bridge between theory
and practice, making it an indispensable resource for
bioinformatics researchers."
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