Technological advances have greatly increased the availability of human genomic sequencing. However, the capacity to analyze genomic data in a clinically meaningful way lags behind the ability to generate such data.
Provides germline and somatic variants of any size, type or genomic location. ClinVar gathers interpretations of clinical significance of variants for reported conditions. It accepts submissions from clinical testing labs, researchers, locus-specific databases, other databases, expert panels and groups establishing professional guidelines from all countries. This database offers general and advanced query interfaces.
A manually curated database of conditions with known genetic causes, focusing on medically significant genetic data with available interventions. All conditions with identified genetic causes are included in the CGD. For each entry, the database includes the gene symbol, condition(s), allelic conditions, inheritance, age (pediatric or adult) in which interventions are indicated, clinical categorization, and a general description of interventions/rationale. The contents are not intended to serve as nor substitute for comprehensive clinical guidelines, but are rather intended to briefly describe the types of interventions that might be considered.
A National Institutes of Health (NIH)-funded resource dedicated to building an authoritative central resource that defines the clinical relevance of genomic variants for use in precision medicine and research. ClinGen will engage the genomics community in data sharing efforts, develop the infrastructure and standards to support curation activities, and incorporate machine-learning approaches to speed the identification of clinically relevant variants.
Covers mass spectrometry (MS)-based global proteomics data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) on selected The Cancer Genome Atlas (TCGA) tumor samples. LinkedOmics harbors multi-omics data and clinical data for mover than 30 cancer types and of over 11 000 patients from the TCGA project. This database is available on a platform that offers three data analysis modules: LinkFinder, LinkCompare, and LinkInterpreter.
Contains a comprehensive resource about genes and related cancer prognosis. RTPDB includes more of 700 studies, which consist of single nucleotide polymorphism (SNP) studies of almost 60 000 patients with genes, tumors and treatment types, and 500 expression studies with more of 55 000 patients and their genes, tumors and treatment types. The names of genes and their variants were converted and displayed in the form of the official symbol. The detailed information of the tumor, treatment and prognosis were also classified.
Compiles information related to precision medicine. PreMedKB consists of a repository organized around four main components : (i) genes, (ii) variants, (iii) drugs, and (iv) diseases. Users are allowed to search and retrieve all relationships between these components.This program can be used for providing precision treatment options in order to elaborate a clinical decision or to identify genomic risk factors.
Provides a database of structure-activity data across numerous targets of oncological interest. Oncology Knowledgebase cover a broad spectrum of targets relevant to colon cancer, esophageal cancer, glioma, head and neck cancer, kidney cancer, leukemia, liver cancer, lung cancer, lymphoma, melanoma, ovarian cancer, prostate cancer, skin cancer, and stomach cancer. This resource was developed to complement the Kinase Knowledgebase (KKB).