Key features: Innovate UK and BBSRC are to invest up to £2.5 million to stimulate innovative, integrated approaches to biological systems.
Programme: Collaborative research and development
Award: Up to £2.5 million
Opens: 18 May 2015, 00:00
Registration closes: 24 Jun 2015, 12:00
Closes: 01 Jul 2015, 12:00
Support phone number: 0300 321 4357
Finding value in complex biological data - integrated ‘omics - collaborative R&D
Innovate UK and BBSRC are to invest up to £2.5 million to stimulate innovative, integrated approaches to biological systems. The aim of this competition is to build a commercial ecosystem to exploit the commercial opportunities of ‘omics (e.g. genomics, proteomics etc.), systems biology and complex biological data streams.
These could become key technologies for growth in the UK economy through enabling quicker identification of promising products and services and de-risking development.
We are especially seeking projects that develop sustainable business models for SMEs to service innovation requirements of key industrial sectors such as pharmaceuticals and agri-tech.
Projects must be business-led, collaborative and include at least one micro company or SME as a lead or significant collaborator.
We have allocated up to £2 million to fund collaborative R&D projects. We expect total project costs to be between £250,000 and £400,000 and projects to last up to 2 years. A further £500,000 is available for smaller-scale feasibility study projects lasting 12 to18 months with total project costs up to £150,000.
Applicants cannot be a collaborator in more than 2 successful projects.
For both the CR&D and feasibility study projects small businesses could receive up to 70% of their eligible project costs, medium-sized businesses 60% and large businesses 50%.
The collaborative R&D and feasibility study elements of this competition open on 18 May 2015. The deadline for registration is noon on 24 June 2015. The deadline for completed feasibility study and collaborative R&D applications is noon on 1 July 2015. A briefing event for this competition will be held on 2 June 2015.
There are two consortium-building workshops, Edinburgh (17 March 2015) and Cambridge (24 March 2015).
|Competition opens||18 May 2015|
|￼Competition briefing||2 June 2015|
|￼Registration deadline||￼￼24 June 2015|
|￼Deadline for receipt of applications||￼1 July 2015|
- ￼data analysis platforms tailored to ‘omics and complex biological data streams
- analytical or diagnostic tools that look at multiple parameters within a discrete complex biological system
- predictive biological system models in silico
- evidence based models that demonstrate the impact on a biological system by introducing new candidate compounds or interventions
- data driven tools and services to speed development of bio-products
- approaches that focus on integrating existing sub-system tools
- projects that aim to model at multiple scales within a given biological system(s)
- technologies that focus on aligning and assembling new system pathways, for example, delivering optimal bioactive performance in industrial biotechnology applications
- integrated in-line/real-time monitoring of multi-parameter 'omic data
- approaches to enable intelligent, predictive bio-modelling capabilities, including the integration and analysis of heterogeneous 'omic- data
- data driven tools and services that include environmental impact of biological systems
- projects focusing on the user experience/ interface for non-ICT specialists when working with complex biological system analysis
- approaches that apply and adapt existing tools, services and models for use with complex biological systems
- approaches to predicting and evaluating ‘omic determined communication between separate biological systems
- business models that enable collaborative exploration of complex biological system data by 2 or more experts simultaneously
- tools to identify exceptions, deviations or unusual occurrences in biological systems through data driven 'omic models
Funding allocation and project details
Collaborative R&D projects
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