DIAMONDS brings together Data, Knowledge and Algorithms. Data ranges from Clinical studies and Omics data to Personalized Health data. Traceable from original Raw measurements to Cleaned, Processed data ready to use. Knowledge ranges from Biological Knowledge from Curated databases and Textmining to manually Curated Triples from our Experts. All captured and connected to Source information through Standardized Pipelines and Workflows Protocols. Diverse tools and algorithms such as Statistical tools, Text mining methods, Scripts, Decision Trees, Bayesian/Dynamic Networks and Network Visualization.
Summary of highlighted projects and modules in DIAMONDS
The HARMLESS project aims to develop a Decision Support System for Safe-by-Design for complex nano-materials and high-aspect ratio nano-materials.Read more about "harmless"
Nano Exposure Quantifier
The Nano Exposure Quantifier (NEQ) is a quantitative exposure assessment tool. It is designed to assist users in the safe-by-design process and decisions to reduce risk as a result from working with manufactured nanomaterials. The NEQ offers a Tiered approach by adapting the questions based on the depth of information the user can provide allowing anywhere between a Tier-1 and a Tier-2 approach.Read more about "nano exposure quantifier"
TargetTri is an online platform for profiling drug targets in terms of safety and efficacy. TargetTri integrates text-mining, data-mining and network biology to obtain a complete view on effects exerted by target modulation. Queries can be initiated from either a protein/gene or a therapeutic indication.Read more about "targettri"
The TRAAC framework is developed to quantify the readiness of different tools and methods towards their wider regulatory acceptance and downstream use by different stakeholders. The framework diagnoses barriers which hinder regulatory acceptance and wider usability of a tool/method. It is based on their Transparency, Reliability, Accessibility, Applicability and Completeness (TRAAC).Read more about "traac"