ArticleNucleic acids research2005
CYGD: the Comprehensive Yeast Genome Database.
Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.
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Who cites it
133 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GenomeMUSter mouse genetic variation service enables multitrait, multipopulation data integration and analysis.Genome research · 2024Pooled it
- An improved two-stage binary relevance method for multilabel classification.Journal of applied statistics · 2026Article
- From beer to breadboards: yeast as a force for biological innovation.Genome biology · 2024Review
- Yeast metagenomics: analytical challenges in the analysis of the eukaryotic microbiome.Microbiome research reports · 2024Review
- PCLassoLog: A protein complex-based, group Lasso-logistic model for cancer classification and risk protein complex discovery.Computational and structural biotechnology journal · 2023Article
- Complex Portal 2022: new curation frontiers.Nucleic acids research · 2022Article
- Predicting gene phenotype by multi-label multi-class model based on essential functional features.Molecular genetics and genomics : MGG · 2021Article
- Databases for Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Identification and evolutionary analysis of the nucleolar proteome of Giardia lamblia.BMC genomics · 2020Article
- Article
- CORUM: the comprehensive resource of mammalian protein complexes-2019.Nucleic acids research · 2019Article
- An effective approach to detecting both small and large complexes from protein-protein interaction networks.BMC bioinformatics · 2017Article
- Identifying protein complexes in PPI network using non-cooperative sequential game.Scientific reports · 2017Article
- YMDB 2.0: a significantly expanded version of the yeast metabolome database.Nucleic acids research · 2017Article
- Identifying novel protein phenotype annotations by hybridizing protein-protein interactions and protein sequence similarities.Molecular genetics and genomics : MGG · 2016Article
- Use of the BioGRID Database for Analysis of Yeast Protein and Genetic Interactions.Cold Spring Harbor protocols · 2016Article
- Qualitative and Quantitative Protein Complex Prediction Through Proteome-Wide Simulations.PLoS computational biology · 2015Article
- A density-based clustering approach for identifying overlapping protein complexes with functional preferences.BMC bioinformatics · 2015Article
- Modularity in the evolution of yeast protein interaction network.Bioinformation · 2015Article
- Clustering PPI data by combining FA and SHC method.BMC genomics · 2015Article
73 more citing papers are in PubMed but not listed here.
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Authors and funding
20 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes. The database serves as a common resource generated by a European consortium, going beyond the provision of sequence information and functional annotations on individual genes and proteins. In addition, it provides information on the physical and functional interactions among proteins as well as other genetic elements. These cellular networks include metabolic and regulatory pathways, signal transduction and transport processes as well as co-regulated gene clusters. As more yeast genomes are published, their annotation becomes greatly facilitated using S.cerevisiae as a reference. CYGD provides a way of exploring related genomes with the aid of the S.cerevisiae genome as a backbone and SIMAP, the Similarity Matrix of Proteins. The comprehensive resource is available under http://mips.gsf.de/genre/proj/yeast/.
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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.