Algorithms for Structural Variation Analysis in Challenging Genomic Regions

Project Information

ASVA-CGR

Grant agreement ID: 101180581

DOI

10.3030/101180581

Project closed

EC signature date 25 June 2024

Start date 1 September 2024

End date 31 August 2026

Funded under

• Widening participation and spreading excellence

Total cost

No data

EU contribution

€ 149 219,52

Coordinated by

UNIVERZITA KOMENSKEHO V BRATISLAVE
Slovakia

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact ofthe project, including the dissemination and exploitation measures that areplanned, and the target group(s) addressed. Regarding communication measuresand public engagement strategy, the aim is to inform and reach out to society andshow the activities performed, and the use and the benefits the project will have forcitizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cyclefor all data sets that will be collected, processed or generated by the action. It is adocument describing what data will be collected, processed or generated andfollowing what methodology and standards, whether and how this data will beshared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (3)

Weighted de novo clustering of third-generation transcriptomic datasets

Author(s): Luca Denti and Yoshihiro Shibuya
Published in: Proceedings of the 25th Conference Information Technologies – Applications and Theory, 2025
Publisher: CEUR Workshop Proceedings

Pangenome Graph Indexing via the Multidollar-BWT

Author(s): Davide Cozzi, Brian Riccardi, Luca Denti, Simone Ciccolella, Kunihiko Sadakane, Paola Bonizzoni
Published in: Proceedings of the 23rd International Symposium on Experimental Algorithms, 2025
Publisher: Schloss Dagstuhl-Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
DOI: 10.4230/LIPICS.SEA.2025.13

Efficient Algorithms for Pangenome Personalization

Author(s): Denys Andrukhovskyi, Martin Madzin, Luca Denti, Tomáš Vinař, Broňa Brejová
Published in: Proceedings of the 26th International Conference on Algorithms for Bioinformatics
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/LIPICS.WABI.2026.8

Peer reviewed articles (2)

Differential quantification of alternative splicing events on spliced pangenome graphs

Author(s): Simone Ciccolella, Davide Cozzi, Gianluca Della Vedova, Stephen Njuguna Kuria, Paola Bonizzoni, Luca Denti
Published in: PLOS Computational Biology, Issue 20, 2024, ISSN 1553-7358
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PCBI.1012665

Alignment-free detection of differences between sequencing datasets

Author(s): Alessia Petescia, Luca Denti, Askar Gafurov, Viktória Hodorová, Jozef Nosek, Broňa Brejová, Tomáš Vinař
Published in: iScience, Issue 28, 2026, ISSN 2589-0042
Publisher: Elsevier BV
DOI: 10.1016/J.ISCI.2025.113828