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Algorithms for Structural Variation Analysis in Challenging Genomic Regions

Project description

Advanced characterisation of genomic structural variations

Structural variants (SVs) are large genomic alterations of more than 50 base pairs that impact gene function and regulation and can contribute to the development of diseases such as cancer. Understanding and identifying these variations is crucial for genetic research and diagnosis, but current methods cannot reliably detect SVs in repetitive and difficult-to-analyse genomic regions. The EU-funded ASVA-CGR project aims to address this limitation by developing computational approaches for accurately characterising SVs in these regions. The consortium will create tools for SV detection by combining sequencing technology and multiple analytical strategies. Moreover, the project will provide important insights into the impact of SVs on health and disease.

Objective

Structural variations are genomic alterations affecting portions of the chromosomes longer than 50 base pairs. These alterations are a main contributing factor to human diseases and different types of cancer. The main limitation of current approaches for the analysis of structural variations lies in their unreliability in characterizing these alterations in repetitive and hard-to-call regions of the genome. Structural variations falling in these regions can not be routinely detected and their significance is still unknown.

In this proposal, we aim to develop novel computational approaches to address the challenge of fully characterizing structural variations in these hard and still uninvestigated regions. By developing accurate tools for comprehensive detection of structural variations, we aim to increase our current knowledge of this class of genetic alterations. Moreover, by designing new benchmarking methodologies, we will provide a more accurate evaluation of our as well as other tools. This will also assist the development of new generations of tools able to accurately characterize structural variations that are currently unknown.

We will employ a multi-faceted strategy that is not limited to a single sequencing technology. By combining data coming from different sequencing technologies and ideas coming from alignment-based, assembly-based, mapping-free, and pangenomic-based approaches, we will be able to take a significant step towards the complete characterization and analysis of structural variations.

The development of new tools and the planned collaboration with biology-oriented research groups will enhance our understanding of the impact of structural variations on human health, diseases, and cancer and hence improve clinical diagnostics and pave the way for personalized medicine.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-WIDERA-2023-TALENTS-02

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Coordinator

UNIVERZITA KOMENSKEHO V BRATISLAVE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 149 219,52
Address
SAFARIKOVO NAM 6
814 99 BRATISLAVA 1
Slovakia

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Activity type
Higher or Secondary Education Establishments
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Total cost

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