Statistical Genomics

Brooke Fridley, Xuefeng Wang (Herausgeber)

Buch | Softcover

377 Seiten

2024
Springer-Verlag New York Inc.
978-1-0716-2988-8 (ISBN)

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This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. 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.

Cutting-edge and thorough, Statistical Genomics hopes that by covering these diverse and timely topics researchers are provided insights into future directions and priorities of pan-omics and the precision medicine era.

Multi-omics data deconvolution and integration: new methods, insights and translational implications.- Multi-omics data deconvolution and integration: new methods, insights and translational implications.- Cell-type deconvolution of bulk DNA methylation data with EpiSCORE.- Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper.- Statistical methods for integrative clustering of multi-omics data.- Analysis of Single-Cell RNA-seq Data.- A Primer On Pre-Processing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data.- Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data.- Statistical Analysis in ChIP-seq Related Applications.- Bioinformatics and Statistical Analysis of Microbiome Data.- Statistical and Computational Methods for Microbial Strain Analysis.- Statistics and machine learning in mass spectrometry-based metabolomics analysis.- Statistical and Computational Methods for Proteogenomic Data Analysis.- Pharmacogenomics and Statistical Analysis.- Statistical methods for disease risk prediction with genotype data.- Statistical Methods Inspired by Challenges in Pediatric Cancer Multi-Omics.

Erscheinungsdatum	28.03.2024
Reihe/Serie	Methods in Molecular Biology
Zusatzinfo	72 Illustrations, color; 7 Illustrations, black and white; XI, 377 p. 79 illus., 72 illus. in color.
Verlagsort	New York, NY
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
Schlagworte	DNA-seq • Metagenomics • microbiome • Pharmacogenomics • Spatial transcriptomics
ISBN-10	1-0716-2988-3 / 1071629883
ISBN-13	978-1-0716-2988-8 / 9781071629888
Zustand	Neuware