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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 1,200 genes
Historically, cancer genome sequencing efforts has been divided between transcriptome-based sequencing projects and DNA-centered efforts. The Cancer Genome Anatomy Project (CGAP) was first funded in 1997 [10] with the goal of documenting the sequences of RNA transcripts in tumor cells. [11]
The Cancer Imaging Archive (TCIA) is an open-access database of medical images for cancer research. The site is funded by the National Cancer Institute's (NCI) Cancer Imaging Program, and the contract is operated by the University of Arkansas for Medical Sciences. Data within the archive is organized into collections which typically share a ...
dbSNP is an online resource implemented to aid biology researchers. Its goal is to act as a single database that contains all identified genetic variation, which can be used to investigate a wide variety of genetically based natural phenomena.
Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes.It focuses on genomic, epigenomic and transcript alterations in cancer. Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation.
By utilizing DNA and RNA sequencing to do cancer diagnostics, technology in the field of molecular diagnostics tools will develop better. Although NGS throughput and price have dramatically been reduced over the past 10 years by roughly 100-fold, we remain at least 6 orders of magnitude away from performing deep sequencing at a whole genome ...