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Content archived on 2024-06-18

Rapid development and distribution of statistical tools for high-throughput sequencing data

Objective

High-throughput sequencing (HTS) is a powerful and rapidly evolving family of technologies with a multitude of applications. They include genetics of rare and common diseases, understanding of disease mechanism and progression through transcriptome and epigenome profiling, cancer stratification, personalised medicine and molecular systems biology of gene regulation. The genome, epigenome, transcriptome and interactome are all intricately connected, and modern HTS technology can probe all of these -omic levels. Statistical analysis is a crucial component of many experiments and studies, and the quality and efficiency of the analysis often determines the success of a project.

In this collaborative project we will develop a range of new statistical analysis tools to solve open problems in HTS data analysis, ranging from low-level processing of sequence reads up to systems-level modelling of disease associated and cellular processes. We will provide to a wide audience an integrated computational framework for HTS data analysis and interpretation that is robust, efficient and user-friendly. We will establish improved procedures for the publishing of statistical software as an integral part of the scientific publication process, within the framework of the Bioconductor project. We will provide tools to benchmark experimental protocols and statistical methods, and we will provide training materials and a extensive training programme to rapidly disseminate these new tools to the broader biomedical community.

SME partners will integrate these new tools within their analysis pipelines with associated user-friendly commercial software providing access to their additional proprietary tools. SMEs will benefit from basic methodology development done in a public, pre-competitive arena and will be able to use these technologies to enhance their products and services.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-HEALTH-2012-INNOVATION-1
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CP-FP - Small or medium-scale focused research project

Coordinator

THE UNIVERSITY OF MANCHESTER
EU contribution
€ 635 452,00
Address
OXFORD ROAD
M13 9PL Manchester
United Kingdom

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Region
North West (England) Greater Manchester Manchester
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (9)

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