Statistical Genomics

Xuefeng Wang

ISBN 10: 1071629859 / ISBN 13: 9781071629857

Edité par Springer US, Springer US Mär 2023, 2023

A propos de cet article

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.

N° de réf. du vendeur 9781071629857

Détails bibliographiques

• Titre: Statistical Genomics
• Éditeur: Springer US, Springer US Mär 2023
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1071629859
• ISBN à 13 chiffres: 9781071629857
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.