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Epistasis

Epistasis

Ka-Chun Wong

187,30 €
IVA incluido
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Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Genética médica
ISBN:
9781071609491
187,30 €
IVA incluido
Disponible

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Sobre IBD

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 (τ-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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Otros libros del autor

  • Epistasis
    Ka-Chun Wong
    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 (τ-SGA). Written in the hi...
  • Big Data Analytics in Genomics
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    This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a ...
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  • Big Data Analytics in Genomics
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    This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a ...