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      Comparative Toxicogenomics Database (CTD): update 2021

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          Abstract

          The public Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is an innovative digital ecosystem that relates toxicological information for chemicals, genes, phenotypes, diseases, and exposures to advance understanding about human health. Literature-based, manually curated interactions are integrated to create a knowledgebase that harmonizes cross-species heterogeneous data for chemical exposures and their biological repercussions. In this biennial update, we report a 20% increase in CTD curated content and now provide 45 million toxicogenomic relationships for over 16 300 chemicals, 51 300 genes, 5500 phenotypes, 7200 diseases and 163 000 exposure events, from 600 comparative species. Furthermore, we increase the functionality of chemical–phenotype content with new data-tabs on CTD Disease pages (to help fill in knowledge gaps for environmental health) and new phenotype search parameters (for Batch Query and Venn analysis tools). As well, we introduce new CTD Anatomy pages that allow users to uniquely explore and analyze chemical–phenotype interactions from an anatomical perspective. Finally, we have enhanced CTD Chemical pages with new literature-based chemical synonyms (to improve querying) and added 1600 amino acid-based compounds (to increase chemical landscape). Together, these updates continue to augment CTD as a powerful resource for generating testable hypotheses about the etiologies and molecular mechanisms underlying environmentally influenced diseases.

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          Most cited references30

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            The FAIR Guiding Principles for scientific data management and stewardship

            There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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              The reactome pathway knowledgebase

              Abstract The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations in a single consistent data model, an extended version of a classic metabolic map. Reactome functions both as an archive of biological processes and as a tool for discovering functional relationships in data such as gene expression profiles or somatic mutation catalogs from tumor cells. To extend our ability to annotate human disease processes, we have implemented a new drug class and have used it initially to annotate drugs relevant to cardiovascular disease. Our annotation model depends on external domain experts to identify new areas for annotation and to review new content. New web pages facilitate recruitment of community experts and allow those who have contributed to Reactome to identify their contributions and link them to their ORCID records. To improve visualization of our content, we have implemented a new tool to automatically lay out the components of individual reactions with multiple options for downloading the reaction diagrams and associated data, and a new display of our event hierarchy that will facilitate visual interpretation of pathway analysis results.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2021
                17 October 2020
                17 October 2020
                : 49
                : D1
                : D1138-D1143
                Affiliations
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Department of Biological Sciences, North Carolina State University , Raleigh, NC 27695, USA
                Center for Human Health and the Environment, North Carolina State University , Raleigh, NC 27695, USA
                Author notes
                To whom correspondence should be addressed. Tel: +1 919 515 5705; Fax: +1 919 515 3355; Email: apdavis3@ 123456ncsu.edu
                Author information
                http://orcid.org/0000-0002-5741-7128
                Article
                gkaa891
                10.1093/nar/gkaa891
                7779006
                33068428
                2b2f1723-1851-4444-8f44-7d8faf1ffb2c
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 September 2020
                : 25 September 2020
                : 14 August 2020
                Page count
                Pages: 6
                Funding
                Funded by: National Institute of Environmental Health Sciences, DOI 10.13039/100000066;
                Award ID: R01 ES014065
                Award ID: R01 ES023788
                Award ID: P30 ES025128
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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