Patient derived xenograft (PDX) models are powerful tools used by scientists studying cancer and in discovery of new cancer treatments. Each one is grown from a sample of a cancerous tumour donated by a cancer sufferer: so they are precious, valuable and useful. But scientists find it hard to find suitable ones for their work and so many spend a lot of time testing them, just to collect the same basic information over and over again. Repositive is creating an online platform for scientists to find PDX models and data to make sure that they are the best ones for their work. This project, costing £29,968 and lasting 3 months, funds us build the platform with the help of PDX model providers and pharmaceutical companies who use them often, and who will give us feedback on our concepts and designs. It will save 3 months of development time and will enable us to make sure that they find the platform valuable and use it when it is completed. In future it will help companies to save up to 6 months in drug discovery time, so that new treatments can be identified and brought to market more quickly and at lower cost than now.

REPOSITIVE LIMITED is developing bioinformatics and web tools to overcome the barriers to access to human genome sequencing data to support new development in medical research, diagnostics and development of new cures. We are developing repositive.io, our online platform and web application for collaborative data discovery, metadata management tools, secure data access for individual users and data focused collaborations within and between institutions. It will enable users to access and use the INFORMATION stored in genetic sequence WITHOUT accessing the data itself or compromising IP or associated personal information. It will comprise (1) a Data Discovery Platform as a set of data discovery and management tools with open access due to be launched at beta in April 2015 and (2) premium functions to enable collaborative and privacy preserving access to data as part of a data discovery functionality. These premium functions will be enabled through a novel commercially and technically innovative Privacy Preserving Query Engine (PPQE). Funding of this Smart project, lasting 6 months, will enable us to develop, to Proof of Concept stage, the novel functionality of our Privacy Preserving Query Engine. On completion, we will be able to offer it to target customers for testing and then to bring it to market by Q2 2016.