The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources
Open accessAbstract
BTO, the BRENDA Tissue Ontology (http://www.BTO.brenda-enzymes.org) represents a comprehensive structured encyclopedia of tissue terms. The project started in 2003 to create a connection between the enzyme data collection of the BRENDA enzyme database and a structured network of source tissues and cell types. Currently, BTO contains more than 4600 different anatomical structures, tissues, cell types and cell lines, classified under generic categories corresponding to the rules and formats of the Gene Ontology Consortium and organized as a directed acyclic graph (DAG). Most of the terms are endowed with comments on their derivation or definitions. The content of the ontology is constantly curated with ∼1000 new terms each year. Four different types of relationships between the terms are implemented. A versatile web interface with several search and navigation functionalities allows convenient online access to the BTO and to the enzymes isolated from the tissues. Important areas of applications of the BTO terms are the detection of enzymes in tissues and the provision of a solid basis for text-mining approaches in this field. It is widely used by lab scientists, curators of genomic and biochemical databases and bioinformaticians. The BTO is freely available at http://www.obofoundry.org.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bard, J., Rhee, S. Y., & Ashburner, M. (2005) · Genome biology · doi:10.1186/gb-2005-6-2-r21 · Cited by 416
Research works printed but not linked: 15
- Ashburner, 2000, Nature genetics, 25, 25, 10.1038/75556 · DOI · Paper page
- 2009, Nucleic Acids Research, 37, D588, 10.1093/nar/gkn820 · DOI · Paper page
- Schomburg, 2004, Nucleic Acids Research, 32, D431, 10.1093/nar/gkh081 · DOI · Paper page
- 2010, Nucleic Acids Research, 38, D331, 10.1093/nar/gkp1018 · DOI · Paper page
- Smith, 2007, Nature biotechnology, 25, 1251, 10.1038/nbt1346 · DOI · Paper page
- 2005, IN SILICO, 5, 61
- Kelso, 2003, Genome Research, 13, 1222, 10.1101/gr.985203 · DOI · Paper page
- Avraham, 2008, Nucleic Acids Research, 36, D449, 10.1093/nar/gkm908 · DOI
- 2010, Nucleic Acids Research, 38, D142, 10.1093/nar/gkp846 · DOI · Paper page
- 2010, Bioinformatics, 26, 1112, 10.1093/bioinformatics/btq099 · DOI · Paper page
- Rosse, 2003, Journal of biomedical informatics, 36, 478, 10.1016/j.jbi.2003.11.007 · DOI · Paper page
- Portales-Casamar, 2007, Genome biology, 8, R207, 10.1186/gb-2007-8-10-r207 · DOI
- 2010, 125, 651, 10.1007/s00214-009-0670-5 · DOI
- Vizcaino, 2009, Proteomics, 9, 4276, 10.1002/pmic.200900402 · DOI · Paper page
- Mosca, 2010, 4, 76, 10.1186/1752-0509-4-76 · DOI
Cited by
BRENDA, the ELIXIR core data resource in 2021: new developments and updates
Chang, A., Jeske, L., Ulbrich, S., Hofmann, J., Koblitz, J., Schomburg, I., Neumann-Schaal, M., Jahn, D., & Schomburg, D. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1025 · Cited by 789
Understanding multicellular function and disease with human tissue-specific networks
Greene, C. S., Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3259 · Cited by 832
The Cellosaurus, a Cell-Line Knowledge Resource
Bairoch, A. (2018) · Journal of Biomolecular Techniques JBT · doi:10.7171/jbt.18-2902-002 · Cited by 807
Nutritional Metabolomics: Progress in Addressing Complexity in Diet and Health
Jones, D. P., Park, Y., & Ziegler, T. R. (2012) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-072610-145159 · Cited by 257
SABIO-RK: an updated resource for manually curated biochemical reaction kinetics
Wittig, U., Rey, M., Weidemann, A., Kania, R., & Müller, W. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1065 · Cited by 204
Metadata
- Authors
- Gremse, M., Chang, A., Schomburg, I., Grote, A., Scheer, M., Ebeling, C., & Schomburg, D.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-10-28
- Volume
- 39
- Issue
- Database
- Pages
- D507-D513
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2128386749
- Cited by
- 175
- References
- 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources. https://app.cochat.ai/papers/10.1093/nar/gkq968
- The paper
- Gremse, M., Chang, A., Schomburg, I., Grote, A., Scheer, M., Ebeling, C., & Schomburg, D. (2011). The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq968
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
