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on page 1 showing 20 out of 35 results from 1 sources

Cite this (3D Ribosomal Modification Maps Database, RRID:SCR_003097)

URL: http://people.biochem.umass.edu/fournierlab/3dmodmap/

Resource Type: Resource, data or information resource, database

Database of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome.

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Cite this (ANNOVAR, RRID:SCR_012821)

URL: http://www.openbioinformatics.org/annovar/

Resource Type: Resource, software resource, software application

An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software)

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Cite this (Arabidopsis Nucleolar Protein Database, RRID:SCR_001793)

URL: http://bioinf.scri.sari.ac.uk/cgi-bin/atnopdb/home

Resource Type: Resource, image, data or information resource, database

Database of proteins found in the nucleoli of Arabidopsis, identified through proteomic analysis. The Arabidopsis Nucleolar Protein database (AtNoPDB) provides information on the plant proteins in comparison to human and yeast proteins, and images of cellular localizations for over a third of the proteins. A proteomic analysis was carried out of nucleoli purified from Arabidopsis cell cultures and to date 217 proteins have been identified. Many proteins were known nucleolar proteins or proteins involved in ribosome biogenesis. Some proteins, such as spliceosomal and snRNP proteins, and translation factors, were unexpected. In addition, proteins of unknown function which were either plant-specific or conserved between human and plant, and proteins with differential localizations were identified.

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Cite this (Candida Genome Database, RRID:SCR_002036)

URL: http://www.candidagenome.org/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database of genetic and molecular biological information about Candida albicans, a yeast that is an opportunistic pathogen of humans, and about other Candida-related species, such as Candida glabrata. It contains information about genes and proteins; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information. Each CGD gene or open reading frame has an individual Locus Page. Genetic loci that are not tied to a DNA sequence also have Locus Pages. The Locus Page is the central clearinghouse for all information specific to that gene and tools for its analysis, including: * gene name, synonyms, and systematic name * Gene Ontology (GO) annotations * descriptions of the gene and gene product * phenotype of mutations in the gene * chromosomal and contig coordinates * interactive graphical chromosome map and browsing tool * tools for retrieval and analysis of the gene and protein sequences * a curated collection of literature CGD also provides a Gene Ontology, GO, to all its users. GO is a collaborative project involving CGD and other model organism databases to provide controlled vocabularies that are used to describe the molecular function and cellular location of gene products and the biological process in which they are involved. The three ontologies that comprise GO (Molecular Function, Cellular Component, and Biological Process) are used by multiple databases to annotate gene products, so that this common vocabulary can be used to compare gene products across species. The development of the ontologies is ongoing in order to incorporate new information. Data submissions are welcome.

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Cite this (COMPARTMENTS Subcellular localization database, RRID:SCR_015561)

URL: http://compartments.jensenlab.org/Downloads

Resource Type: Resource, data or information resource, database

Web resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell.

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Cite this (ConsensusPathDB, RRID:SCR_002231)

URL: http://cpdb.molgen.mpg.de

Resource Type: Resource, data or information resource, database

An integrative interaction database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabolic and signaling reactions and gene regulatory interactions are integrated in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. With human, yeast and mouse complex functional interactions, it currently constitutes the most comprehensive publicly available interaction repository for these species. Different ways of utilizing these integrated interaction data, in particular with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways is offered.

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Cite this (Database of Interacting Proteins, RRID:SCR_003167)

URL: http://dip.doe-mbi.ucla.edu/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, storage service resource, data repository, data or information resource

Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.

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Cite this (Developmental Therapeutics Program, RRID:SCR_003057)

URL: http://www.dtp.nci.nih.gov

Resource Type: Resource, topical portal, service resource, portal, funding resource, data or information resource

Portal for preclinical information and research materials, including web-accessible data and tools, NCI-60 Tumor Cell Line Screen, compounds in vials and plates, tumor cells, animals, and bulk drugs for investigational new drug (IND)-directed studies. DTP has been involved in the discovery or development of more than 70 percent of the anticancer therapeutics on the market today, and will continue helping the academic and private sectors to overcome various therapeutic development barriers, particularly through supporting high-risk projects and therapeutic development for rare cancers. Initially DTP made its drug discovery and development services and the results from the human tumor cell line assay publicly accessible to researchers worldwide. At first, the site offered in vitro human cell line data for a few thousand compounds and in vitro anti-HIV screening data for roughly 42,000 compounds. Today, visitors can find: * Downloadable in vitro human tumor cell line data for some 43,500 compounds and 15,000 natural product extracts * Results for 60,000 compounds evaluated in the yeast assay * In vivo animal model results for 30,000 compounds * 2-D and 3-D chemical structures for more than 200,000 compounds * Molecular target data, including characterizations for at least 1,200 targets, plus data from multiple cDNA microarray projects In addition to browsing DTP's databases and downloading data, researchers can request individual samples or sets of compounds on 96-well plates for research, or they can submit their own compounds for consideration for screening via DTP's online submission form. Once a compound is submitted for screening, researchers can follow its progress and retrieve data using a secure web interface. The NCI has collected information on almost half a million chemical structures in the past 50 years. DTP has made this information accessible and useful for investigators through its 3-D database, a collection of three-dimensional structures for more than 200,000 drugs. Investigators use the 3-D database to screen compounds for anticancer therapeutic activity. Also available on DTP's website are 127,000 connection tables for anticancer agents. A connection table is a convenient way of depicting molecular structures without relying on drawn chemical structures. As unique lists of atoms and their connections, the connection tables can be indexed and stored in computer databases where they can be used for patent searches, toxicology studies, and precursor searching, for example.

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Cite this (DroID - Drosophila Interactions Database, RRID:SCR_006634)

URL: http://www.droidb.org

Resource Type: Resource, data or information resource, database

A gene and protein interactions database designed specifically for the model organism Drosophila including protein-protein, transcription factor-gene, microRNA-gene, and genetic interactions. For advanced searches and dynamic graphing capabilities the IM Browser and a DroID Cytoscape plugin are available.

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Cite this (Evolutionary Rate Covariation, RRID:SCR_015669)

URL: http://csb.pitt.edu/erc_analysis/Methods.php

Resource Type: Resource, software resource, software application, data analysis software, data processing software, web application

Web-based statistical application that measures correlated rates across a phylogeny, allowing for extraction of genes with similar evolutionary histories. It can identify new functional connections between genes.

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Cite this (Gemma, RRID:SCR_008007)

URL: http://www.chibi.ubc.ca/Gemma

Resource Type: Resource, data or information resource, database

Database and a set of tools for the meta-analysis, re-use and sharing of genomics data, currently primarily targeted at the analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.

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Cite this (GenAge, RRID:SCR_010223)

URL: http://genomics.senescence.info/genes/

Resource Type: Resource, data or information resource, database

Benchmark database of genes related to aging that is divided into genes related to longevity and/or aging in model organisms (yeast, worms, flies, mice, etc.) and aging-related human genes. The section on human aging-related genes includes the few genes directly related to aging in humans plus the best candidate genes obtained from model organisms. Human genes are thus considerably better annotated and include more information. GenAge is manually curated by experts to ensure high-quality content.

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Cite this (GeneSeer, RRID:SCR_002626)

URL: http://geneseer.com/

Resource Type: Resource, data or information resource, database

Database to access gene information through common names and allows identification of homologs and paralogs for a given gene. This publicly available tool leverages public sequence data, gene metadata information, and other publicly available data to calculate and display orthologous and paralogous gene relationships for all genes from several species, including yeasts, insects, worms, vertebrates, mammals, and primates such as humans.

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Cite this (Genevestigator, RRID:SCR_002358)

URL: https://www.genevestigator.com/gv/

Resource Type: Resource, data analysis service, commercial organization, database, analysis service resource, production service resource, service resource, data or information resource

A high performance search engine for gene expression that integrates thousands of manually curated public microarray and RNAseq experiments and nicely visualizes gene expression across different biological contexts (diseases, drugs, tissues, cancers, genotypes, etc.). There are two basic analysis approaches: # for a gene of interest, identify which conditions affect its expression. # for condition(s) of interest, identify which genes are specifically expressed in this/these conditions. Genevestigator builds on the deep integration of data, both at the level of data normalization and on the level of sample annotations. This deep integration allows scientists to ask new types of questions that cannot be addressed using conventional tools.

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Cite this (gsGator, RRID:SCR_012035)

URL: http://gsgator.ewha.ac.kr/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A web-based platform for functional interpretation of gene sets with features such as cross-species Gene Set Analysis (GSA), Flexible and Interactive GSA, simultaneous GSA for multiple gene set, and and a fully integrated network viewer for both visualizing GSA results and molecular networks.

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Cite this (Information Hyperlinked Over Proteins, RRID:SCR_004829)

URL: http://www.ihop-net.org/UniPub/iHOP/

Resource Type: Resource, service resource, data or information resource, database

Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli.

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Cite this (mAdb, RRID:SCR_006677)

URL: https://madb.nci.nih.gov/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, storage service resource, data repository, data or information resource

Microarray data management and analysis system for NCI / Center for Cancer Research scientists / collaborators. Data is secured and backed up on a regular basis, and investigators can authorize levels of access privileges to their projects, allowing data privacy while still enabling data sharing with collaborators.

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Cite this (Maitreya Dunham's Lab, RRID:SCR_000784)

URL: http://dunham.gs.washington.edu/protocols.shtml

Resource Type: Resource, portal, data or information resource

A portal for Maitreya Dunham's lab, which works on the genomic analysis of experimental evolution in yeast using microarrays and the chemostat. Research interests of the lab include experimental evolution of genetic networks in yeast, aneuploidy and copy number variation, comparative genomics, technology development and human genetics in yeast.

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Cite this ( MOPED - Model Organism Protein Expression Database , RRID:SCR_006065)

URL: https://www.proteinspire.org/MOPED/

Resource Type: Resource, data analysis service, resource, production service resource, analysis service resource, database, service resource, data or information resource

An expanding multi-omics resource that enables rapid browsing of gene and protein expression information from publicly available studies on humans and model organisms. MOPED also serves the greater research community by enabling users to visualize their own expression data, compare it with existing studies, and share it with others via private accounts. MOPED uniquely provides gene and protein level expression data, meta-analysis capabilities and quantitative data from standardized analysis utilizing SPIRE (Systematic Protein Investigative Research Environment). Data can be queried for specific genes and proteins; browsed based on organism, tissue, localization and condition; and sorted by false discovery rate and expression. MOPED links to various gene, protein, and pathway databases, including GeneCards, Entrez, UniProt, KEGG and Reactome. The current version of MOPED (MOPED 2.5) The current version of MOPED (MOPED 2.5, 2014) contains approximately 5 million total records including ~260 experiments and ~390 conditions.

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Cite this (MycoBank, RRID:SCR_004950)

URL: http://www.mycobank.org/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated and will also serve as Life Science Identifiers (LSIDs). Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural errors; however, no censorship whatsoever, (nomenclatural or taxonomic) will be exerted by MycoBank. Deposited names will remain -when desired- strictly confidential until after publication, and will then be accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases to realize a species bank that eventually will link all databases of life. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute to this new initiative. For the moment 2 search engines are available from the MycoBank website. The first one permits to search for fungal names (at any rank level), the authority or the MycoBank unique number. The second is dedicated to bibliographic queries related to fungal name''''s publications. MycoBank users willing to deposit their data will have to register so that they willbe able to contact the depositor for specific information (e.g. MycoBank number, possible points of attention regarding the name, actual publication, etc), and to avoid fake entries.

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