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Om Epistasis

This volume explores methods and protocols for detecting epistasis from genetic data. Chapters provide methods and protocols demonstrating approaches to identify epistasis, genetic epistasis testing, genome-wide epistatic SNP networks, epistasis detection through machine learning, and complex interaction analysis using trigenic synthetic genetic array (¿-SGA). Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Epistasis: Methods and Protocols aims to ensure successful results in the further study of this vital field. "Simulating Evolution in Asexual Populations with Epistasis¿ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781071609491
  • Format:
  • Häftad
  • Sidor:
  • 412
  • Utgiven:
  • 19. mars 2022
  • Utgåva:
  • 22001
  • Mått:
  • 178x23x254 mm.
  • Vikt:
  • 771 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 18. december 2024

Beskrivning av Epistasis

This volume explores methods and protocols for detecting epistasis from genetic data. Chapters provide methods and protocols demonstrating approaches to identify epistasis, genetic epistasis testing, genome-wide epistatic SNP networks, epistasis detection through machine learning, and complex interaction analysis using trigenic synthetic genetic array (¿-SGA). Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Epistasis: Methods and Protocols aims to ensure successful results in the further study of this vital field.
"Simulating Evolution in Asexual Populations with Epistasis¿ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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