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eQTL Analysis: Methods and Protocols 2020 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 252 pages, height x width: 254x178 mm, weight: 507 g, 65 Illustrations, color; 80 Illustrations, black and white; X, 252 p. 145 illus., 65 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 2082
  • Izdošanas datums: 19-Jan-2021
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071600281
  • ISBN-13: 9781071600283
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  • Cena: 100,46 €*
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  • Formāts: Paperback / softback, 252 pages, height x width: 254x178 mm, weight: 507 g, 65 Illustrations, color; 80 Illustrations, black and white; X, 252 p. 145 illus., 65 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 2082
  • Izdošanas datums: 19-Jan-2021
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071600281
  • ISBN-13: 9781071600283
Citas grāmatas par šo tēmu:

This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.

  

Introductory Methods for eQTL Analyses.- Performing QTL and eQTL
Analyses with the R-package GenomicTools.- eQTL Mapping using Transcription
Factor Affinity.- Identification and Quantification of Splicing Quantitative
Trait Loci.- Genome-wide Composite Interval Mapping (GCIM) of Expressional
Quantitative Trait Loci in Backcross Population.- Combining eQTL and SNP
Annotation Data to Identify Functional Noncoding SNPs in GWAS
Trait-associated Regions.- Statistical and Machine Learning Methods for eQTL
Analysis.- Sparse Regression Models for Unraveling Group and Individual
Associations in eQTL Mapping.- Exploring Bayesian Approaches to eQTL Mapping
through Probabilistic Programming.- High-order Association Mapping for
Expression Quantitative Trait Loci.- Integration of Multi-omics Data for
Expression Quantitative Trait Loci (eQTL) Analysis and eQTL
Epistasis.- Sparse Partial Least Squares Methods for Joint Modular Pattern
Discovery.- Expression Quantitative Trait Loci (eQTL) Analysis in
Cancer.- QTL Analysis Beyond eQTLs.- Quantitative Trait Loci (QTL)
Mapping.- Expression Quantitative Trait Loci Analysis in Multiple
Tissues.- Tissue Specific eQTL in Zebrafish.