. . . . "In this project, we will explore ways to enable researchers to publish information related to microbial variants and the corresponding phenotypes. Microorganisms constitute the majority of life forms on Earth, with microbial genomes comprising many of the datasets in the NCBI genome database. Advances in sequencing technologies have led to numerous studies into microbial omics. An inherent part of such studies is the investigation of microbial genetic/epigenetic variants including single nucleotide polymorphisms, short sequence insertions and deletions, large structural rearrangements, and modified nucleotides. There are multiple facets of such variants including their frequency, potential impact on biological processes (e.g.: antimicrobial resistance), and contextual occurrences across various hosts. Despite the significance of these investigations and the subsequent findings, much of this information remains scattered across academic research articles and a few databases, often in disparate formats. We will address this gap by enabling researchers to submit their variant and phenotype findings as nanopublications, which will pass through validation and a human-in-the-loop review step. Researchers will be able to query the nanopublications for their specific use-case. Over time, this will create a growing, structured resource for microbial variant and phenotype data that researchers can rely on and build upon." . "2027-04-30T00:00:00.0+02:00"^^ . "2026-11-01T00:00:00.0+01:00"^^ . . . "Knowledge Pixels Incubator #7: Nanopublication-Based Capture of Microbial Genetic/Epigenetic Variants and Phenotypes" . . . . . "Tobias Kuhn" . "2026-11-10T19:06:49Z"^^ . . . . . . . . "RSA" . "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCwUtewGCpT5vIfXYE1bmf/Uqu1ojqnWdYxv+ySO80ul8Gu7m8KoyPAwuvaPj0lvPtHrg000qMmkxzKhYknEjq8v7EerxZNYp5B3/3+5ZpuWOYAs78UnQVjbHSmDdmryr4D4VvvNIiUmd0yxci47dTFUj4DvfHnGd6hVe5+goqdcwIDAQAB" . "Szd8shselRvXOTHaqb+DIbYghyhIpYt6Vk/EY+N+L7ScOngBYAhNCa0YX910rJZBulqPtpp9SLWNr1eNGz/EZYbyEQFf13hbR880sy4/vo8/0biI9k7/zwZA58N7KBjhuhcRlBqfCysa2ISTE3SwDZ9PDLz99fg3fKa/5PEc5Q4=" . . .