LinkedOmics Suite
A comprehensive suite of web tools for cancer omics data analysis and exploration
Current Tools: All-rounder (LinkedOmics) Knowledge Base (LinkedOmicsKB) Target Explorer (Targets) Trial Analyzer (ClinicalOmicsDB) Functional Network (FunMap)
Click the tool to access the corresponding web portal
Description: Flexible, user-driven analysis of multi-omics data from TCGA, CPTAC, and other cohort studies.
Key Features: LinkFinder LinkCompare LinkInterpreter
Reference: Vasaikar, Suhas V., et al. Nucleic Acids Research (2018).
Description: Direct access to results and visualizations from a pan-cancer analysis of CPTAC proteogenomic data.
Key Features: Search Gene Search Phenotype Search Mutation Compare Tumor and Normal
Reference: Liao, Yuxing, et al. Cell Systems (2023).
Description: Prioritization of therapeutic targets by integrating tumor proteogenomic data with genetic perturbation data from cell lines.
Key Features: Over-expressed and hyper-activated dependencies Synthetic lethal dependencies Neoantigens and tumor-associated antigens
Reference: Savage, Sara R., et al. Cell (2024).
Description: Identification of candidate biomarkers through the analysis of omics data from oncology trials.
Key Features: Study-Centric Analysis Treatment-Centric Analysis Gene-Centric Analysis
Reference: Moon, Chang In, et al. Nucleic Acids Research (2024).
Description: Visualize and explore a proteogenomics data-driven, machine learned functional map of human cancer.
Key Features: Gene Neighborhoods Dense Modules Hierarchical Organization
Reference: Shi, Zhiao, et al. In Press