Cancer Driver Genes [E-Book] : Methods and Protocols / edited by Timothy K. Starr.
This book presents protocols for identification of genetic drivers of cancer. Chapters guide readers through a brief history of cancer gene discovery, in silico approaches, in vitro approaches, and in vivo approaches using forward genetic screens in mice. Written in the highly successful Methods in...
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Full text |
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Personal Name(s): | Starr, Timothy K., editor |
Imprint: |
New York, NY :
Humana Press,
2019
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Physical Description: |
XI, 214 pages 46 illustrations, 35 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9781493989676 |
DOI: |
10.1007/978-1-4939-8967-6 |
Series Title: |
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Methods in Molecular Biology ;
1907 |
Subject (LOC): |
- Cancer Gene Discovery: Past and Present
- Identification of Cancer Driver Genes from a Custom Set of Next Generation Sequencing Data
- Cancer Gene Discovery by Network Analysis of Somatic Mutations using the MUFFINN Server
- Identifying Driver Interfaces Enriched for Somatic Missense Mutations in Tumors
- Identification of Cancer Genes Based on de novo Transposon Insertion Site Analysis using RNA and DNA Sequencing
- A Cell-based Method for Identification of Chemotherapy Resistance Cancer Genes
- Engineering a Bioartificial Human Colon Model through Decellularization and Recellularization
- Mutagenesis Screens for Prostate Cancer using Replication-Incompetent Lentiviral Vectors
- Arrayed shRNA Screening to Identify Suppressors of Anchorage-independent Growth
- Genome-wide CRISPR/Cas9 Screening for Identification of Cancer Genes in Cell Lines
- CRISPR/Cas9 Based Positive Screens for Cancer Related Traits
- Ex vivo Transposon-Mediated Genetic Screens for Cancer Gene Discovery
- Cancer Gene Discovery Utilizing Sleeping Beauty Transposon Mutagenesis
- PiggyBac Transposon-based Insertional Mutagenesis in Mice
- Liver-specific Delivery of Sleeping Beauty Transposon System by Hydrodynamic Injection for Cancer Gene Validation
- Engineering Large Genomic Rearrangement in Mouse Embryonic Stem Cell for Cancer Gene Discovery.