Deep Sequencing Data Analysis

Häftad, Engelska, 2022

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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.

Produktinformation

Utgivningsdatum2022-02-20
Mått178 x 254 x 21 mm
Vikt721 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor374
Upplaga2
FörlagSpringer-Verlag New York Inc.
ISBN9781071611050

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik

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.