Statistical Human Genetics: Methods and Protocols: 1666 Softcover reprint of the original 2nd ed. 2017 Edition

Statistical Human Genetics: Methods and Protocols: 1666 Softcover reprint of the original 2nd ed. 2017 Edition book cover

Statistical Human Genetics: Methods and Protocols: 1666 Softcover reprint of the original 2nd ed. 2017 Edition

Author(s): Robert C. Elston

  • Publisher: Humana
  • Publication Date: 14 Aug. 2018
  • Edition: Softcover reprint of the original 2nd ed. 2017
  • Language: English
  • Print length: 701 pages
  • ISBN-10: 1493984381
  • ISBN-13: 9781493984381

Book Description

The aim of this volume is to make computer programs for analyzing human genetic data more easily accessible to the beginner.Statistical Human Genetics: Methods and Protocols, Second Edition provides updated and new chapters detailing genetic terms, analysis software, and how to interpret the program outputs. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, step-by-step instructions, and tips on troubleshooting and avoiding known pitfalls. 

The purpose of Statistical Human Genetics: Methods and Protocols, Second Edition is to ensure successful and meaningful results in the fast-growing field of genetic epidemiology.

Editorial Reviews

From the Back Cover

The aim of this volume is to make computer programs for analyzing human genetic data more easily accessible to the beginner.Statistical Human Genetics: Methods and Protocols, Second Edition provides updated and new chapters detailing genetic terms, analysis software, and how to interpret the program outputs. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, step-by-step instructions, and tips on troubleshooting and avoiding known pitfalls.

The purpose of Statistical Human Genetics: Methods and Protocols, Second Edition is to ensure successful and meaningful results in the fast-growing field of genetic epidemiology.

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