We're thrilled to announce that data from the Harvard Personal Genome Project is being used in a challenge this year presented by the Critical Assessment of Genome Interpretation (CAGI). CAGI challenges test the ability of researchers to interpret genome data and make phenotype predictions.
PGP data is uniquely valuable for these challenges as it is completely "open source": the algorithms and data can be completely open. In this challenge, experimenters are asked to predict matching phenotype profiles for a set of genomes. To read more about the challenge, follow this link to CAGI's website: https://genomeinterpretation.org/content/4-PGP