eQTL Analysis

Methods and Protocols

Buch | Softcover

252 Seiten

2021 | 1st ed. 2020
Springer-Verlag New York Inc.
978-1-0716-0028-3 (ISBN)

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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.

Erscheinungsdatum	16.01.2021
Reihe/Serie	Methods in Molecular Biology ; 2082
Zusatzinfo	65 Illustrations, color; 80 Illustrations, black and white; X, 252 p. 145 illus., 65 illus. in color.
Verlagsort	New York, NY
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Weitere Themen ► Bioinformatik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
Schlagworte	Expression • genetic variation • Mining • molecular phenotypes • transcriptomic sequencing
ISBN-10	1-0716-0028-1 / 1071600281
ISBN-13	978-1-0716-0028-3 / 9781071600283
Zustand	Neuware