bioRxiv preprint doi: https://doi.org/10.1101/2021.08.25.457574; this version posted August 27, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. CALANGO: an annotation-based, phylogeny-aware comparative genomics framework for exploring and interpreting complex genotypes and phenotypes AUTHORS Jorge Augusto Hongo1∞, Giovanni Marques de Castro2∞, Agnello César Rios Picorelli2, Thieres Tayroni Martins da Silva2, Eddie Luidy Imada3, Luigi Marchionni3, Anderson Vieira Chaves2, Gabriel Magno de Freitas Almeida4, Felipe Campelo2,5, Francisco Pereira Lobo2* 1 – Instituto de Computação, Universidade Estadual de Campinas, Brazil. 2 - Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. 3 – Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York. 4 - Department of Biological and Environmental Science, University of Jyvaskyla, Jyvaskyla, Finland. 5 - Aston University, Birmingham, England. ∞ - Both authors contributed equally to this work. * - Corresponding Author (
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[email protected]) bioRxiv preprint doi: https://doi.org/10.1101/2021.08.25.457574; this version posted August 27, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. ABSTRACT The increasing availability of high-quality genomic, annotation and phenotypic data for different species contrasts with the lack of general software for comparative genomics that integrates these data types in a statistically sound framework in order to produce biologically meaningful knowledge.