Provides a compilation of gene expression, chromosomal copy number, and massively parallel sequencing data from human cancer cell lines. The resulting collection encompasses 36 tumor types. The mutational status of more than 1,600 genes is determined by targeted massively parallel sequencing, followed by removal of variants likely to be germline events. CCLE has been aggregated to facilitate numerous advances in cancer biology and drug discovery. It also may help to enable preclinical stratification schemata for anticancer agents.
Provides a collection of the MultiCellDS files. MultiCellDB contains digital cells lines and permits users to upload DCL files which are stored in their original form, as well as converted into an entity-relationship model for storage in a relational database. It is browsable by phenotype, measurement value, microenvironment, or metadata value. The MultiCellDS format offers metadata to assist curation, particularly when aggregating measurements from many laboratories.
Provides an online repository of human cancer cell lines that contains genotype and expression information. GEMiCCL enables users to execute cell line search, gene search, browsing with histological characteristics and complex queries built on the Boolean logic rules. The search requests display summary information, copy number, gene expression and mutation data displayed in different tab pages.
Gathers a collection of cancer cell line pharmacogenomic data. CellMinerCDB can be interactively explored. It automates the synonymous cell line and drug names matching. This platform furnishes gene-level mutation data that indicate the probability that an observed mutation is homozygous and is function impacting. It is useful for the drug discovery and molecular pharmacology analyses.
A comprehensive database that integrates various human gastric cancer-related data resources. DBGC collects and unifies Human gastric cancer-related transcriptomics projects, proteomics projects, mutations, biomarkers and drug-sensitive genes from different sources. Moreover, epidemiological statistics of gastric cancer patients in China and clinicopathological information annotated with gastric cancer cases were also integrated into the DBGC.