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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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IntAct Resource Report Resource Website 1000+ mentions |
IntAct (RRID:SCR_006944) | IntAct | data or information resource, data repository, database, service resource, storage service resource | Open source database system and analysis tools for molecular interaction data. All interactions are derived from literature curation or direct user submissions. Direct user submissions of molecular interaction data are encouraged, which may be deposited prior to publication in a peer-reviewed journal. The IntAct Database contains (Jun. 2014): * 447368 Interactions * 33021 experiments * 12698 publications * 82745 Interactors IntAct provides a two-tiered view of the interaction data. The search interface allows the user to iteratively develop complex queries, exploiting the detailed annotation with hierarchical controlled vocabularies. Results are provided at any stage in a simplified, tabular view. Specialized views then allows "zooming in" on the full annotation of interactions, interactors and their properties. IntAct source code and data are freely available. | protein domain, motif, protein interaction, molecular interaction, interaction, protein, binary interaction, complex, data set, protein-protein interaction, pathway, small molecule-protein, nucleic acid-protein, small molecule, nucleic acid, protein binding, chromatin, cancer, apoptosis, molecular biology, virus, source code, isoform, gold standard |
is used by: ChannelPedia is used by: MINT is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: 3D-Interologs is related to: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: Pathway Commons is related to: ConsensusPathDB is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: Integrated Molecular Interaction Database is related to: VirHostNet: Virus-Host Network is related to: PSICQUIC Registry is related to: UniProt is related to: SIB Swiss Institute of Bioinformatics is related to: I2D is related to: InnateDB is related to: MatrixDB is related to: MBInfo is related to: AgBase is related to: Cardiovascular Gene Ontology Annotation Initiative is related to: PSI-MI is related to: Agile Protein Interactomes DataServer has parent organization: European Bioinformatics Institute works with: IMEx - The International Molecular Exchange Consortium |
European Union contract FP7-HEALTH-2007-223411; European Union contract FP7-HEALTH-2007-200767 |
PMID:24234451 PMID:22121220 PMID:19850723 PMID:17145710 PMID:14681455 |
Apache License, v2, (software), Creative Commons Attribution License, (data), The community can contribute to this resource | OMICS_01918, r3d100010671, nif-0000-03026 | https://doi.org/10.17616/R3QS4R | SCR_006944 | IntAct | 2026-09-05 06:26:04 | 1955 | ||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-05 06:26:15 | 7 | |||||
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mGOASVM Resource Report Resource Website 1+ mentions |
mGOASVM (RRID:SCR_013098) | mGOASVM | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | Data analysis service for the prediction of multi-label protein subcellular localization based on gene ontology and support vector machines. Web services are also available. | subcellular localization, gram-negative protein, virus, protein |
is listed by: OMICtools has parent organization: Hong Kong Polytechnic University; Hong Kong; China |
PMID:23130999 | OMICS_01627 | SCR_013098 | 2026-09-05 06:27:32 | 4 | ||||||||
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OGEE - Online GEne Essentiality database Resource Report Resource Website 1+ mentions |
OGEE - Online GEne Essentiality database (RRID:SCR_006080) | OGEE, OGEEdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Online GEne Essentiality database containing genes that were tested experimentally for essentiality and their features; it also provides a set of tools to systematically explore and analyze these data. The main purpose of this project is to better understand gene essentiality by facilitating the comparisons of the differences and similarities between essential and non-essential genes. This is achieved by collecting not only experimentally tested essential and non-essential genes, but also associated gene features such as expression profiles, duplication status, conservation across species, evolutionary origins and involvement in embryonic development. We focus on large-scale experiments and complement our data with text-mining results. Genes are organized into data sets according to their sources. Genes with variable essentiality status across data sets are tagged as conditionally essential, highlighting the complex interplay between gene functions and environments. Linked tools allow the user to compare gene essentiality among different gene groups, or compare features of essential genes to non-essential genes, and visualize the results. Why is it different from existing databases? * we included both essential and non-essential genes so that we could better understand the gene essentiality by comparing the similarities and differences between the two gene sets; * we compiled a list of features for each gene, including whether they are duplicates or involved in development, the number of other homologous genes in the same genome, as well as their earliest expression stages during development. These features are keys to understand the essentiality of genes; * we also provide a set of tools to explore our data and visualize the results. For example, users can simply divide genes into two groups according to whether they are duplicates, calculate the proportion of essential genes (PE%) in each group and then visualize the results in a bar plot; or they can classify genes into multiple groups according to their earliest expression stages during evolution, compare the essentiality of genes that were expressed earlier with those were latter, and plot the results in a line chart. | genome-wide association study, essentiality, gene, essential gene, non-essential gene, growth, expression profile, duplication status, conservation, evolutionary origin, embryonic development, text-mining, gene function, environment, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Molecular Biology Laboratory |
BMBF 0315450C | PMID:22075992 | Free | nlx_151488, biotools:ogee | https://bio.tools/ogee | SCR_006080 | Online GEne Essentiality database | 2026-09-05 06:25:46 | 2 |
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