• Complete Genome Sequence of Neisseria musculi Using Illumina and PacBio Sequencing

      Thapa, Eliza; Aluvathingal, Jain; Nadendla, Suvarna; Mehta, Aditya; Tettelin, Hervé; Weyand, Nathan J (American Society for Microbiology, 2021-06-10)
      Neisseria musculi is an oral commensal of wild-caught mice. Here, we report the complete genome sequence of N. musculi strain NW831, generated using a combination of the Illumina and PacBio platforms.
    • DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation.

      Quaglia, Federica; Mészáros, Bálint; Salladini, Edoardo; Hatos, András; Pancsa, Rita; Chemes, Lucía B; Pajkos, Mátyás; Lazar, Tamas; Peña-Díaz, Samuel; Santos, Jaime; et al. (Oxford University Press, 2022-01-07)
      The Database of Intrinsically Disordered Proteins (DisProt, URL: https://disprot.org) is the major repository of manually curated annotations of intrinsically disordered proteins and regions from the literature. We report here recent updates of DisProt version 9, including a restyled web interface, refactored Intrinsically Disordered Proteins Ontology (IDPO), improvements in the curation process and significant content growth of around 30%. Higher quality and consistency of annotations is provided by a newly implemented reviewing process and training of curators. The increased curation capacity is fostered by the integration of DisProt with APICURON, a dedicated resource for the proper attribution and recognition of biocuration efforts. Better interoperability is provided through the adoption of the Minimum Information About Disorder (MIADE) standard, an active collaboration with the Gene Ontology (GO) and Evidence and Conclusion Ontology (ECO) consortia and the support of the ELIXIR infrastructure. © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.
    • ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts

      Hobbs, Elizabeth T; Goralski, Stephen M; Mitchell, Ashley; Simpson, Andrew; Leka, Dorjan; Kotey, Emmanuel; Sekira, Matt; Munro, James B; Nadendla, Suvarna; Jackson, Rebecca; et al. (Frontiers Media S.A., 2021-07-13)
      Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities. To provide this information, expert curators are increasingly relying on text mining tools to identify, extract and harmonize statements from biomedical journal articles that discuss findings of interest. For determining reliability of the statements, curators need the evidence used by the authors to support their assertions. It is important to annotate the evidence directly used by authors to qualify their findings rather than simply annotating mentions of experimental methods without the context of what findings they support. Text mining tools require tuning and adaptation to achieve accurate performance. Many annotated corpora exist to enable developing and tuning text mining tools; however, none currently provides annotations of evidence based on the extensive and widely used Evidence and Conclusion Ontology. We present the ECO-CollecTF corpus, a novel, freely available, biomedical corpus of 84 documents that captures high-quality, evidence-based statements annotated with the Evidence and Conclusion Ontology.