Περιγραφή

The dimension and diversity of biological data are ever-increasing. How to summarize this kind of data and how to use it to answer relevant biological questions in the framework of theoretical biology are open research questions. To integrate and test theoretical models on biological molecular mechanisms using this data is the ultimate challenge.

The primary objective of this interdisciplinary workshop is to bring together scientists from the fields of statistics, physics, mathematics, bioinformatics, biology, and computer sciences to address the following topics:

• Linking WG1 (theoretical models) and WG2 (data analysis approaches), i.e. integrating and testing theoretical models with data. nullomers and free groups, transport processes in biomolecules, and modelling interactions between molecules using agents.

• Addressing modern biological problems by analysing all kind of (high-dimensional) data. Specifically approaches for change point detection, omics data integration, machine learning approaches for genomics, and Markov chain theory for genomics.

Rather than being a series of informative talks, our goal is to create meaningful opportunities for collaborative work that address the specific objectives of DYNALIFE. Time will be allocated in the programme to discuss opportunities for ongoing and future collaborations among participants.

The conference will primarily address the specific objectives of WG2 and their interaction with WG1. However, it will be open to participants from all working groups who are aligned with the main challenge and specific objectives outlined for this grant period. The conference foresees plenary talks of 50 minutes (45 + discussion), long presentations of 25 minutes (20 + discussion), short presentations of 15 minutes (10 + discussion), poster sessions, and Working Tables. Parallel sessions will be avoided as much as possible. Slots will be allocated to the in-person Management Committee Meeting (MC), to WG meetings, and to a mixed (in-person-virtual) Core Group Meeting. Cross-field interaction and excellence will be also promoted through the plenary lectures by prominent keynote speakers.

• Haeran Cho, School of Mathematics, University of Bristol

• Marcos de la Peña, IBMCP, Polytechnic University of Valencia

• Mark Robinson, Department of Molecular Life Sciences, University of Zurich

• Nevena Ilieva, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences