Alessia Petescia | | | | | | | | | | | | | | | | | | | BC training on modern sequencing technologies, short-term research project | | | | | | | | UNIBI collaboration on a research project, soft skills training | | | | | | UDUS collaboration on a research project, soft skills training | | | |
Daria Frolova | | | | | | | | | | | | UNIBI Alexander Schönhuth, focusing on learning about machine learning approaches | | | | | | | | BC for sequencing of informative bacterial strains that have unusual resistance profiles | UNIBI Alexander Schönhuth, to evaluate and improve the results so far | | | | | | | | | | | | | | | |
Estéban Gabory | | | | | | | | | | | | | | | | | BC for early practical metagenomics analysis experiences | | | | | | INRIA Lyon to work in research team ERABLE of M-F. Sagot | | | | | | | | | | | | UNIMIB for the phylogenetic part of the project | |
Francesco Andreace | | UDUS Tobias Marschall, for co-supervision of the ESR | | | | | | | | INRIA Rennes Pierre Peterlongo, for collaboration on WP1 | | | | | | | | | | | | | | | | | | DNANEXUS for practical industrial experience on de novo assembly and pan-genome graph creation of a collection of bacterial pan-genomes | | | | | | | | |
Jorge Avila | | | | | | | | | | | | | | INRIA Lyon collaboration on research project (representation of pan-genomes by colored dBG) | | | | | | DEINOVE start training on bacterial data | | | | | | UK BA collaboration on research project (probabilistic methods) | | | | | | WCM development of experimental work on tumor sequencing data | | | | |
Khodor Hannoush | | | | | | | | | | | | UNIBI Jens Stoye, Practical applications of the ESR pan-genomic alignment free approaches to guide the pan-genome graph splitting decision | | | | | | CEA/GENOSCOPE Olivier Jaillon, Apply and validate pan-genome update approaches to large viral datasets | | | | | | | | | | DEINOVE Pan-genomic update approaches application to large scale bacterial pan-genomes storing and indexing | | | | | | | | |
Konstantinn Bonnet | | | | | | | | | | | | IP Rayan Chikhi, for training on de Bruijn graphs in general and on their implementation in the GATB library in particular | | | | | | | | | | | | PENDULUM extensively discuss the inclusion of PacBio data | | | | | | EMBL to exchange experiences with the Iqbal group, which has developed the related Cortex software | | | | | | |
Luca Parmigiani | | | | | | | | | | | | | | | | | | INRIA Rennes align with basic data structure development in WP1 | | | | | | | | | | | | GENETON extensively discuss the applicability of the developed methods | | | | | | |
Nicola Rizzo | | | | | | | | | | | | | | | | | FRCBS Mikko Arvas, on enhancing HLA-region analysis with a pan-genomic component | | | | | | | | | | | | IP Rayan Chikhi on studying encodings of paths in the de Bruijn graph of the core-pan-genome developed earlier in the project | | | | | | | |
Njagi Mwaniki | | | | | | | | | | | | | NWO-I investigating pattern matching and similarity notions among pan-genomes (degenerate strings) representations (T1.4 of WP1 and T2.1 of WP2) | | NWO-I investigating inter-pan-genomes variants detection (T2.1 of WP2) | | | | | | | | | UHEL Tailoring the degenerate text approach to hypervariable genomic regions, a setup provided by Mäkinen's project partner (T1.4) | | | | DNANEXUS (Elastic)-degenerate text and Pan-genomes real data analyses (T1.2 and T1.5) | | | | | | | | |
Pengfei Wang | | | | | | | | | | | | | | | DEINOVE Guillaume Letellier, pan-genome analysis for bacterial diversity, short-term project | | | | | | | | | UDUS Tobias Marschall, methods for inferring recombination on virus genomes | | | | | | | | | | | | |
Pío Sierra | | | | | | | | | | | | UHEL Veli Mäkinen, focusing on pan-genome guided haplotyping strategies | | | | | | | | | UHEL to evaluate and improve the results so far | | | | | | | | | PENDULUM to explore ancestral relations in microbiome data using the tcPBWT data structure | | | | | | |
Raghuram Dandinasivara Rangaram | | | | | | | | | | | | | | | | | INRIA Lyon working on microbiomes (WP1) | | PENDULUM for practical experiences | | | | | | | | EMBL for collaboration within WP3 | | | | | | UK BA for statistical aspects | | | |
Tomáš Sládeček | | | | UNIBI training in advanced algorithmic and data structure skills for pan-genomes; short-term research projects | | | | | | | | | | | | | | | | EMBL collaboration on a research project related to sequencing of microbial communities (T3.5) | | | | | | | UNIMIB algorithm and data-structures optimization, soft skills training | | | | | | | | | |