| ISBN13: | 9781032392622 |
| ISBN10: | 1032392622 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 320 oldal |
| Méret: | 254x178 mm |
| Nyelv: | angol |
| Illusztrációk: | 6 Illustrations, black & white; 54 Illustrations, color; 6 Line drawings, black & white; 54 Line drawings, color; 35 Tables, black & white |
| 700 |
Next-Generation Sequencing
GBP 125.00
Kattintson ide a feliratkozáshoz
This reference book compiles standard operating procedures, protocols, and applications of Next-Generation Sequencing (NGS). It discusses genomic testing applications through NGS and protocols for cataloging variants of uncertain significance.
This cutting-edge reference book compiles standard operating procedures, protocols, and applications of Next-Generation Sequencing (NGS). It discusses genomic testing applications through NGS. It pays special focus on the protocols for cataloging variants of uncertain significance. Over the years, NGS and advanced bioinformatics approaches have allowed the transition of genomic assays into translational practices. The book covers visualization of NGS data sets, investigation of early development impairment, and metagenome protocols. It also discusses the challenges in NGS methods.
Key Points-
? Includes case studies of application of next-generation sequencing in different taxa like humans, rodents, plants, bacteria
? Compiles protocols from various reputed companies like Illumina, PacBio, ThermoFisher
? Discusses the translational applications of NGS methods
? Reviews Machine Learning Heuristics For NGS data interpretation
? Discusses emerging genomic assay technologies and characterizing mechanisms of disease prevalence
The book is meant for researchers and industry experts in genomics, computational biology, and bioinformatics.
1. Technologies, Computations and Data Analysis for Next Generation Sequencing
2. Epigenetics: RNA-Seq, ChiP-Seq, MedIP-Seq and ATAC-Seq
3. Streamlining Next-Generation Sequencing Data Analysis with Nextflow and nf-core Pipelines
4. Best practices for variant calling using Genome Analysis Toolkit
5. Implementation of WGCNA for identifying regulatory modules in biological networks
6. Meta-analysis of RNA-seq and Microarray data
7. Best practices in single-cell RNA-seq data analysis
8. Integration of Spatial Transcriptomics and Single Cell RNA-Seq
9. Metagenomics Analysis Pipelines for Microbiome Studies: QIIME and Mothur
10. Standard Operating Procedure and Applications in Single-Cell Transcriptomics
11. Benchmarking and Evaluation of de novo Assembly Tools for Prokaryotic Long Reads from Oxford Nanopore Technologies
12. Best Practices for Reproducible of Microbial Genomics Analysis
13. Single Cell RNA-Seq Analyses in the Era of Artificial Intelligence
14. Towards single-molecule protein sequencing
15. SOPs on Effective Galaxy Workflows
16. Motif prediction using ChIP-Seq data analysis using Galaxy
17. Developing a Whole Exome Consensus Variant Calling Pipeline to Infer Causal Pathogenic Variants
Index
