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Deep Sequencing Data Analysis
Buch von Noam Shomron
Sprache: Englisch

211,95 €*

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Beschreibung
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.
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.
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Inhaltsverzeichnis

Detecting Causal Variants in Mendelian Disorders using Whole Genome Sequencing.- Statistical Considerations on NGS Data for Inferring Copy Number Variations.- Applications of Community Detection Algorithms to Large Biological Datasets.- Processing and Analysis of RNA-seq data from Public Resources.- Improved Analysis of High-throughput Sequencing Data Using Small Universal k-mer Hitting Sets.- An Introduction to Whole-metagenome Shotgun Sequencing Studies.- Microbiome Analysis using 16S Amplicon Sequencing: From Samples to ASVs.- RNA-Seq in Non-model Organisms.- Deep Learning Applied on Next Generation Sequencing Data Analysis.- Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes using ATAC-seq.- Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels.- Genome-wide Noninvasive Prenatal Diagnosis of De Novo Mutations.- Accurate Imputation of Untyped Variants from Deep Sequencing Data.- Multi-region Sequence Analysisto Predict Intratumor Heterogeneity and Clonal Evolution.- Overcoming Interpretability in Deep Learning Cancer Classification.- Single-cell Transcriptome Profiling.- Biological Perspectives of RNA-sequencing Experimental Design.- Analysis of microRNA Regulation in Single Cells.- DNA Data Collection and Analysis in the Forensic Arena.

Details
Erscheinungsjahr: 2021
Fachbereich: Gentechnologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: x
374 S.
11 s/w Illustr.
81 farbige Illustr.
374 p. 92 illus.
81 illus. in color.
ISBN-13: 9781071611029
ISBN-10: 107161102X
Sprache: Englisch
Einband: Gebunden
Redaktion: Shomron, Noam
Herausgeber: Noam Shomron
Auflage: Second Edition 2021
Hersteller: Springer US
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 260 x 183 x 27 mm
Von/Mit: Noam Shomron
Erscheinungsdatum: 20.02.2021
Gewicht: 0,918 kg
Artikel-ID: 118744710
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Inhaltsverzeichnis

Detecting Causal Variants in Mendelian Disorders using Whole Genome Sequencing.- Statistical Considerations on NGS Data for Inferring Copy Number Variations.- Applications of Community Detection Algorithms to Large Biological Datasets.- Processing and Analysis of RNA-seq data from Public Resources.- Improved Analysis of High-throughput Sequencing Data Using Small Universal k-mer Hitting Sets.- An Introduction to Whole-metagenome Shotgun Sequencing Studies.- Microbiome Analysis using 16S Amplicon Sequencing: From Samples to ASVs.- RNA-Seq in Non-model Organisms.- Deep Learning Applied on Next Generation Sequencing Data Analysis.- Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes using ATAC-seq.- Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels.- Genome-wide Noninvasive Prenatal Diagnosis of De Novo Mutations.- Accurate Imputation of Untyped Variants from Deep Sequencing Data.- Multi-region Sequence Analysisto Predict Intratumor Heterogeneity and Clonal Evolution.- Overcoming Interpretability in Deep Learning Cancer Classification.- Single-cell Transcriptome Profiling.- Biological Perspectives of RNA-sequencing Experimental Design.- Analysis of microRNA Regulation in Single Cells.- DNA Data Collection and Analysis in the Forensic Arena.

Details
Erscheinungsjahr: 2021
Fachbereich: Gentechnologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: x
374 S.
11 s/w Illustr.
81 farbige Illustr.
374 p. 92 illus.
81 illus. in color.
ISBN-13: 9781071611029
ISBN-10: 107161102X
Sprache: Englisch
Einband: Gebunden
Redaktion: Shomron, Noam
Herausgeber: Noam Shomron
Auflage: Second Edition 2021
Hersteller: Springer US
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 260 x 183 x 27 mm
Von/Mit: Noam Shomron
Erscheinungsdatum: 20.02.2021
Gewicht: 0,918 kg
Artikel-ID: 118744710
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