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Bioinformatics Connectivity

This project aims at constructing a Human Gene - Drug - Pathway knowledge base using the data of protein-protein interaction networks, gene expression profiles and pathways from the most popular biological data sources, including GO, NCBI, NCI-Nature, UniProt, KEGG, HPRD and more…; and applying the knowledge based to identification of connectivity of genes, drugs and diseases. A website is also developed to make possible access to the project online.

Project objectives:
  1. Data collection and pre-processing;
  2. Meta data analysis of gene expression profiles;
  3. Graph analysis of protein interactions;
  4. Semantic graph analysis of Gene Ontology;
  5. A Machine Learning approach for gene expression data analysis and applications in gene-drug-disease connectivity map, including setting up a Knowledge Base on (1) a generally agreed-upon list of molecules; (2) a consensus global molecular interaction network; and (3) a collection of curated pathways for known biological processes.

  • System data last update is reported here.
    Please contact me for any concern or issue regarding the following functions of the website.
  • Biological data retrieval;
  • Development of data analysis methods;
  • Development of computational backend model,Development of computational backend model,Development of computational backend model,Development of computational backend model;
  • Implementation of the web model and data analysis methods.