ArticleNucleic acids research2010
Saccharomyces Genome Database provides mutant phenotype data.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
89 citing papers in PubMed.
- Towards the construction of a virtual yeast.Nature · 2026Review
- The Saccharomyces Genome Database-a history of ideas and accomplishments, 1994-2026.FEMS yeast research · 2026Article
- The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.Genetics · 2025Article
- The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics.bioRxiv : the preprint server for biology · 2024Article
- Review
- Article
- Article
- How to Use the Candida Genome Database.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Phenotypic Associations Among Cell Cycle Genes inG3 (Bethesda, Md.) · 2020Article
- Phenotype annotation with the ontology of microbial phenotypes (OMP).Journal of biomedical semantics · 2019Article
- The BioGRID interaction database: 2019 update.Nucleic acids research · 2019Article
- Inferring ontology graph structures using OWL reasoning.BMC bioinformatics · 2018Article
- Using the Candida Genome Database.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Comparative genomics and transcriptomics of Pichia pastoris.BMC genomics · 2016Article
- PRECOG: a tool for automated extraction and visualization of fitness components in microbial growth phenomics.BMC bioinformatics · 2016Article
- Use of the BioGRID Database for Analysis of Yeast Protein and Genetic Interactions.Cold Spring Harbor protocols · 2016Article
- BioGRID: A Resource for Studying Biological Interactions in Yeast.Cold Spring Harbor protocols · 2016Article
- How to Use the Candida Genome Database.Methods in molecular biology (Clifton, N.J.) · 2016Article
- The cellular microscopy phenotype ontology.Journal of biomedical semantics · 2016Article
- Biocuration at the Saccharomyces genome database.Genesis (New York, N.Y. : 2000) · 2015Review
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org) is a scientific database for the molecular biology and genetics of the yeast Saccharomyces cerevisiae, which is commonly known as baker's or budding yeast. The information in SGD includes functional annotations, mapping and sequence information, protein domains and structure, expression data, mutant phenotypes, physical and genetic interactions and the primary literature from which these data are derived. Here we describe how published phenotypes and genetic interaction data are annotated and displayed in SGD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.