We are very proud to announce the PhD school Introduction to Pangenomics.

Graph based data structures have been pointed out to have disruptive benefits over traditional sequence based structures when representing pan-genomes, sufficiently large, evolutionarily coherent collections of genomes. This idea has its immediate justification in the laws of genetics: evolutionarily closely related genomes vary only in relatively little amounts of letters, while sharing the majority of their sequence content. The fundamental task  in computational biology of capturing genetic variations  largely benefit from graph-based pangenome representations: they summarize redundancies without discarding individual differences and graphs lend themselves to data structures and algorithms for pangenome analysis.

This school is an opportunity for interacting with the computational pangenomics community of two European Research Networks, ALPACA and PANGAIA. The school provides a forum for being exposed to novel approaches on how to push the shift from sequence to graph-based representations of genomes. 

The expected audience consists of PhD students and young researchers that are interested in the new field of computational pangenomics and that are eager to learn from world-renowned scientists.

This school will start on Monday July 4th and end on Friday July 8th.