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ALPACA: Algorithms for Pangenome Computational Analysis

ALPACA (ALgorithms for PAngenome Computational Analysis) is an EU funded Innovative Training Network for talented PhD Students.

ALPACA: Algorithms for Pangenome Computational Analysis

In view of ultra-large amounts of genome sequence data emerging from rapidly advancing genome sequencing devices the driving, urgent question is: How can we arrange and analyze these data masses in a formally rigorous, computationally efficient and biomedically rewarding manner?

ALPACA: Algorithms for Pangenome Computational Analysis

Graph based data structures have been pointed out to have disruptive benefits over traditional sequence based structures when representing pan-genomes. This paradigm shift from sequences to graphs requires to make substantial advances in terms of algorithms and data structures.

ALPACA: Algorithms for Pangenome Computational Analysis

ALPACA: Algorithms for Pangenome Computational Analysis

ALPACA: Algorithms for Pangenome Computational Analysis

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