Deep Sequencing Data Analysis
| Körperschaft: | |
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| Weitere Verfasser: | |
| Zusammenfassung: | X, 374 p. 92 illus., 81 illus. in color. text |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY :
Springer US : Imprint: Humana,
2021.
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| Ausgabe: | 2nd ed. 2021. |
| Schriftenreihe: | Methods in Molecular Biology,
2243 |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-1-0716-1103-6 |
| Format: | Elektronisch Buch |
Inhaltsangabe:
- 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. .