£120.29

Wiley Bacterial Population Genetics in Infectious Disease Book

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£120 today · all-time low £120 (Jun 2026) · usually the usual

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£124.99 £119.49 £120.69 £121.89 £123.09 £124.29 £125.49 09 June 2026 22 June 2026 05 July 2026 18 July 2026 01 August 2026

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34 days · current 6 days 14 days 0 9 17 26 34 £120 £123 £125 Days at Price

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Most common price: £120 (34 days, 63.0%)

Price range: £120 - £125

Price levels: 3 different prices over 54 days

Description

Explore the essential concepts of bacterial population genetics with this comprehensive text from Wiley. As the field reaches its 35th year, this book provides a necessary synthesis of methods used to study infectious diseases. It focuses on the population-level processes that drive genetic variation within bacterial populations, making it a vital resource for researchers and medical professionals. This work serves as a practical guide for analyzing bacterial genetic data through various statistical methods. With the rapid expansion of science driven by high-throughput genome sequencing of bacterial pathogens, staying updated on these methodologies is necessary. The text covers an extremely large range of organisms and provides fundamental approaches to analyzing bacterial population structure. Whether you are studying pathogen evolution or genomic data, this book offers the technical foundation required to navigate this expanding area of scientific research.

Key Features

Provides a unique synthesis of major concepts and methods in the 35-year-old field of bacterial population genetics in infectious disease.

Explains the population-level processes that shape genetic variation within various bacterial populations.

Acts as a practical how-to guide for the statistical methods used to analyze complex bacterial genetic data.

Covers an extremely large range of organisms to ensure broad applicability across different biological studies.

Addresses the expanding field of science created by high-throughput genome sequencing of bacterial pathogens.

Includes fundamental approaches for analyzing bacterial population structure to support scientific research.

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