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The Cancer Genome Anatomy Project (CGAP), created by the National Cancer Institute (NCI) in 1997 and introduced by Al Gore, is an online database on normal, pre-cancerous and cancerous genomes. It also provides tools for viewing and analysis of the data, allowing for identification of genes involved in various aspects of tumor progression.
Bacterial Pesticidal Protein Database [25] [26] The Cancer Genome Atlas (TCGA): provides data from hundreds of cancer samples obtained using high-throughput techniques such as gene expression profiling, copy number variation profiling, SNP genotyping, genome-wide DNA methylation profiling, microRNA profiling, and exon sequencing of at least ...
The project works to combine knowledge of the human genome sequence with high throughput mutation detection techniques. [1] The project operates within the scope of the International Cancer Genome Consortium, working with the other participating organizations and countries to build a database of genomic changes present in different types of ...
The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.
Unlike whole genome (WG) sequencing which is typically from blood cells, such as J. Craig Venter's [1] and James D. Watson’s WG sequencing projects, [2] saliva, epithelial cells or bone - cancer genome sequencing involves direct sequencing of primary tumor tissue, adjacent or distal normal tissue, the tumor micro environment such as ...
The Network of Cancer Genes (NCG) is a freely accessible web resource of genes that, when altered in their sequence, drive clonal expansion of normal tissues (healthy drivers) or cancer (cancer drivers). The project was launched in 2010 and has reached its 7th release in 2022.
Number of citations of the terms "Multiomics" and "Multi-omics" in PubMed until the 31st December 2021. Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data sets are multiple "omes", such as the genome, proteome, transcriptome, epigenome, metabolome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending ...
[10] [11] Secondly, data for inclusion in the database is collected from whole genome resequencing studies of cancer samples undertaken by the Cancer Genome Project. [8] For example, Campbell and colleagues used next generation sequencing to examine samples from two individuals with lung cancer which led to the identification of 103 somatic DNA ...