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CCLE / Cancer Cell Line Encyclopedia

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.

GBGFA / Gene-wise Prior Bayesian Group Factor Analysis

Leverages similarities in response profiles of groups of drugs that are more likely to be related to true biological signal, which leads to more robust performance and improved generalization ability. GBGFA is a biologically-motivated, Bayesian multitask approach, which explicitly models gene-centric dependencies across multiple and distinct genomic platforms. The performance of this method was evaluated on molecularly characterized collections of cell lines profiled against two compound panels, namely the Cancer Cell Line Encyclopedia and the Cancer Therapeutics Response Portal.

MultiCellDB / MultiCellular Database

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.

DBGC / Database of Human Gastric Cancer

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.