Deep Sequencing Data Analysis

TRAMA

This second edition provides new and updated chapters from expert researchers in the field detailing methods used to study the multi-facet deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning methodologies, and various approaches for the identification of sequence variants. 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, Deep Sequencing Data Analysis: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.

SOMMARIO

1. Detecting Causal Variants in Mendelian Disorders using Whole Genome Sequencing Abdul Rezzak Hamzeh, T. Daniel Andrews, and Matt A. Field   2. Statistical Considerations on NGS Data for Inferring Copy Number Variations Jie Chen   3. Applications of Community Detection Algorithms to Large Biological Datasets Itamar Kanter, Gur Yaari, and Tomer Kalisky   4. Processing and Analysis of RNA-seq data from Public Resources Yazeed Zoabi and Noam Shomron   5. Improved Analysis of High-throughput Sequencing Data Using Small Universal k-mer Hitting Sets Yaron Orenstein   6. An Introduction to Whole-metagenome Shotgun Sequencing Studies Tyler A. Joseph and Itsik Pe'er   7. Microbiome Analysis using 16S Amplicon Sequencing: From Samples to ASVs Amnon Amir   8. RNA-Seq in Non-model Organisms Vered Chalifa-Caspi   9. Deep Learning Applied on Next Generation Sequencing Data Analysis Artem Danilvesky and Noam Shomron   10. Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes using ATAC-seq Georgi K. Marinov and Zohar Shipony   11. Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels Tom Rabinowitz and Noam Shomron   12. Genome-wide Noninvasive Prenatal Diagnosis of De Novo Mutations Ravit Peretz Machluf, Tom Rabinowitz, and Noam Shomron   13. Accurate Imputation of Untyped Variants from Deep Sequencing Data Davoud Torkamaneh and François Belzile   14. Multi-region Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution Soyeon Ahn and Haiyan Huang   15. Overcoming Interpretability in Deep Learning Cancer Classification Yueyang Teo, Artem Danilevsky, and Noam Shomron 16. Single-cell Transcriptome Profiling Guy Shapira and Noam Shomron   17. Biological Perspectives of RNA-sequencing Experimental Design Metsada Pasmanik-Chor   18. Analysis of microRNA Regulation in Single Cells Wendao Liu and Noam Shomron   19. DNA Data Collection and Analysis in the Forensic Arena Sydnie Grabell and Noam Shomron    

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781071611050
• Collana: Methods in Molecular Biology
• Dimensioni: 254 x 178 mm Ø 728 gr
• Formato: Brossura
• Illustration Notes: X, 374 p. 92 illus., 81 illus. in color.
• Pagine Arabe: 374
• Pagine Romane: x