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Books & Ebooks
Concepts in Pharmacogenomics by
Publication Date: 2017-05-30
As the growing field of pharmacogenomics continues to impact daily practice and offer promising new drug therapies, understanding this complex science is critical for all pharmacists - students, residents, and established practitioners. To meet this need, ASHP's Concepts in Pharmacogenomics has been completely updated for the second edition, covering both the fundamentals of pharmacogenomics and the latest genomic technologies.
Handbook of Pharmacogenomics and Stratified Medicines by
Call Number: RM301.3.G45 H36 2014
Publication Date: 2014-05-06
Handbook of Pharmacogenomics and Stratified Medicine is a comprehensive resource to understand this rapidly advancing field aiming to deliver the right drug at the right dose to the right patient at the right time. It is designed to provide a detailed, but accessible review of the entire field from basic principles to applications in various diseases.
Pharmacogenomics: Challenges and opportunities in therapeutic implementation / by
Publication Date: 2018-12-06
Pharmacogenomics: Challenges and Opportunities in Therapeutic Implementation, Second Edition, provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of pharmacogenomics from academic, regulatory, pharmaceutical, socio-ethical and economic perspectives.
Precision Medicine: a Guide to Genomics in Clinical Practice by
Call Number: RB155 .M33 2017
Publication Date: 2016-12-23
A complete how-to-guide for incorporating precision medicine into any type of practice The Application of Precision Medicine is a practical, succinct, high-yield book for medical professionals who want to learn how genomic medicine can and should be practiced in their specific field of interest. Unlike similar books on the subject, this unique text bypasses the basic science and more advance genetic science, and focuses solely on what a practitioner needs to know on a daily basis.
Combining Human Genetics and Causal Inference to Understand Human Disease and Development by
Call Number: RB155 .C589 2022
Publication Date: 2022-01-31
In human genetics, causal inference methods leverage large omics data sets and phenotypic information to decipher various cause-and-effect relationships in human health and disease (e.g., smoking and lung cancer). The focus of such work is typically on modifiable variables (e.g., behavior or environmental exposure) that impact disease onset, progression, and outcome. A better understanding of these variables can lead to interventions and therapeutics that have a desirable impact on public health.
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