Buch, Englisch, 374 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 721 g
Reihe: Methods in Molecular Biology
Buch, Englisch, 374 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 721 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-0716-1105-0
Verlag: Springer
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 Shomron5. 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 Shomron13. 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 Ahnand Haiyan Huang
15. Overcoming Interpretability in Deep Learning Cancer Classification
Yueyang Teo, Artem Danilevsky, and Noam Shomron
16. Single-cell Transcriptome ProfilingGuy 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
