Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
on page 1 showing 20 out of 75 results from 1 sources

    APD

Cite this (APD, RRID:SCR_006606)

URL: http://aps.unmc.edu/AP/main.php

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

Database and data analysis system dedicated to glossary, nomenclature, classification, information search, prediction, design, and statistics of Antimicrobial peptides and beyond. The peptide data stored in the APD were gleaned from the literature (PubMed, PDB, Google, and Swiss-Prot) manually in the past several years. Peptides will be registered into this database if: # they are from natural sources (bacteria, protozoa, fungi, plants, and animals); # their antimicrobial activities are demonstrated (MIC

  • From Current Category

Cite this (Arabidopsis Hormone Database, RRID:SCR_001792)

URL: http://ahd.cbi.pku.edu.cn

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

Database providing a systematic and comprehensive view of morphological phenotypes regulated by plant hormones, as well as regulatory genes participating in numerous plant hormone responses. By integrating the data from mutant studies, transgenic analysis and gene ontology annotation, genes related to the stimulus of eight plant hormones were identified, including abscisic acid, auxin, brassinosteroid, cytokinin, ethylene, gibberellin, jasmonic acid and salicylic acid. Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies. To increase the coverage of phytohormone related genes, the database has been updated from AHD to AHD2.0 adding and integrating several pronounced features: (1) added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) integrated predicted miRNA splicing site in each gene in the database; (4) provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, they also provided links to a powerful online analysis platform Weblab that they have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research. Please help to improve the database with your contributions.

  • From Current Category

Cite this (Arabidopsis Reactome, RRID:SCR_002063)

URL: http://www.arabidopsisreactome.org

Resource Type: Resource, data or information resource, database

Curated database of core pathways and reactions in plant biology that covers biological pathways ranging from the basic processes of metabolism to high-level processes such as cell cycle regulation. While it is targeted at Arabidopsis pathways, it also includes many biological events from other plant species. This makes the database relevant to the large number of researchers who work on other plants. Arabidopsis Reactome currently contains both in-house curated pathways as well as imported pathways from AraCyc and KEGG databases. All the curated information is backed up by its provenance: either a literature citation or an electronic inference based on sequence similarity. Their ontology ensures that the various events are linked in an appropriate spatial and temporal context.

  • From Current Category

Cite this (Atlantic Canada Conservation Data Centre, RRID:SCR_006061)

URL: http://www.accdc.com/

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

Comprehensive lists of plant and animal species, with a rarity rank and legal status for each. It has has over 635,000 geo-located records of species occurrences and over 40,000 records of extremely rare to uncommon species in the Atlantic region, including New Brunswick, Nova Scotia, Prince Edward Island, Newfoundland, and Labrador. The Atlantic CDC also maintains biological and other types of data in a variety of linked databases. The CDC welcomes inquiries from those who would like to contribute data about plant or animal species at risk or rare communities in Atlantic Canada. Its mission is to assemble and provide objective and understandable data and expertise about species and ecological communities of conservation concern, including those at risk, and undertake field biological inventories to support decision-making, research, and education in Atlantic Canada. The Atlantic CDC develops species location data, known as element occurrence records. Occurrence precision (accuracy) ranges from quite precise (within meters) to less precise (within counties) but most commonly it is within 1 5 km. Element occurrence (EO) refers to one or more locations considered important to the continued existence of a species or ecological community. For species, over 30 types of data: taxonomy, biology, etc. are typically examined when identifying EOs. An EO is generally the habitat occupied by a local population. However, occurrence varies among species and some species have more than one type of occurrence (e.g., breeding and winter occurrences). Breeding colonies, breeding ponds, denning sites, and hibernacula are general examples of different types of animal EOs. For an ecological community, an EO may be the area containing a patch of that community type.

  • From Current Category

Cite this (Atlas of Living Australia, RRID:SCR_006467)

URL: http://www.ala.org.au/

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

Repository of scientifically collected data on all the known species in Australia aggregated from a wide range of data providers: museums, herbaria, community groups, government departments, individuals and universities. Data records consist of images, literature, molecular DNA data, identification keys, species interaction data, species profile data, nomenclature, source data, conservation indicators, and spatial data. Several standards are preferred for data provided to the Atlas. Use this site to: * access information pages for each species containing photos, descriptions, maps and observations * access scientific and common names * explore the flora and fauna reported around your neighborhood * learn about Australia's biodiversity collections at museums, herbaria and other institutions * learn about citizen science projects * map, analyze and visualize biodiversity and environmental data and trends * access tools to help track changes in biodiversity and the environment * download and use open source tools * download biodiversity data * access images, literature and genetic information through Australian nodes of international data repositories * volunteer for digitization projects. The Atlas of Living Australia (Atlas) and its associated information systems provides web services for accessing information over the internet.

  • From Current Category

    BaCelLo

Cite this (BaCelLo, RRID:SCR_011965)

URL: http://gpcr.biocomp.unibo.it/bacello/

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

A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable.

  • From Current Category

    BAR

Cite this (BAR, RRID:SCR_006748)

URL: http://bar.utoronto.ca/welcome.htm

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

Web-based tools for working with functional genomics and other data, including Gene Expression and Protein Tools, Molecular Markers and Mapping Tools, and Other Genomic Tools. Most are designed with the plant (mainly Arabidopsis) researcher in mind, but a couple of them can be useful to the wider research community, e.g. Mouse eFP Browser or BlastDigester. The associated paper for most tools is available.

  • From Current Category

Cite this (Bayer CropScience, RRID:SCR_010498)

URL: http://www.cropscience.bayer.com/

Resource Type: Resource, commercial organization, organization portal, portal, data or information resource

Crop science company with products in crop protection and nonagricultural pest control. It also has activities in seeds and plant traits. (Adapted from Wikipedia)

  • From Current Category

    BOLD

Cite this (BOLD, RRID:SCR_004278)

URL: http://www.barcodinglife.com/

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

DNA barcode data with an online workbench that supports data validation, annotation, and publication for specimen, distributional, and molecular data. The data platform consists of three main modules, a data portal, a database of barcode clusters, and data collection workbench. The Public Data Portal provides access to all public barcode data which consists of data generated using the Workbench module as well as data mined from other sources. The Barcode Index Number (BIN) system assigns a unique identifier to each sequence cluster of COI, providing an interim taxonomic system for species in the animal kingdom. The workbench module integrates secure databases with analytical tools to provide a private collaborative environment for researchers to collect, analyze, and publish barcode data and ancillary DNA sequences. This platform also provides an annotation framework that supports tagging and commenting on records and their components (i.e. taxonomy, images, and sequences), allowing for community-based validation of barcode data. By providing specialized services, it aids in the assembly of records that meet the standards needed to gain BARCODE designation in the global sequence databases. Because of its web-based delivery and flexible data security model, it is also well positioned to support projects that involve broad research alliances. Public data records include record identifiers, taxonomy, specimen details, collection information and sequence data. Data that has been publicly released through BOLD can be retrieved manually through the BOLD public interface or automatically through BOLD web services. BOLD analytical tools are available for any data set that exists in BOLD (including publicly available data). Analytical tools can be accessed through the BOLD Project Console under the headings Sequences Analysis or Specimen Aggregates. Some examples include Taxon ID Tree, Alignment Viewer, Distribution Maps, and Image Library.

  • From Current Category

Cite this (Catalogue of Life, RRID:SCR_006701)

URL: http://www.catalogueoflife.org/

Resource Type: Resource, data or information resource, database

Comprehensive and authoritative global index of species of animals, plants, fungi and micro-organisms. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.3 million species. This figure continues to rise as information is compiled from diverse sources around the world. There are two distinct versions of the Catalogue of Life: the Dynamic Checklist and the Annual Checklist. Choose the version most suited to your needs. If you have a taxonomic database and would like to join the Species 2000 federation of databases in the Catalogue of Life please contact the Species 2000 Secretariat: all candidate databases go through a peer review process. The Annual Checklist Exchange Format defines the format for exchanging data.

  • From Current Category

Cite this (Cell-PLoc, RRID:SCR_011966)

URL: http://www.csbio.sjtu.edu.cn/bioinf/Cell-PLoc/

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

A package of web-servers for predicting subcellular localization of proteins in different organisms.

  • From Current Category

Cite this (Cell Type Ontology, RRID:SCR_004251)

URL: http://cellontology.org

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

Ontology designed as a structured controlled vocabulary for cell types. It was constructed for use by the model organism and other bioinformatics databases. It includes cell types from prokaryotes, mammals, and fungi. The ontology is available in the formats adopted by the Open Biological Ontologies umbrella and is designed to be used in the context of model organism genome and other biological databases.

  • From Current Category

    C-mii

Cite this (C-mii, RRID:SCR_010839)

URL: http://www3a.biotec.or.th/c-mii/

Resource Type: Resource, software resource

A software tool for plant miRNA and target identification. C-mii pipelines are based on combined steps and criteria from previous studies and also incorporated with several tools such as standalone BLAST and UNAFold and pre-installed databases including miRBase, UniProt, and Rfam. C-mii provides following distinguished features. First, it comes with graphical user interfaces of well-defined pipelines for both miRNA and target identifications with reliable results. Second, it provides a set of filters allowing users to reduce the number of results corresponding to the recently proposed constraints in plant miRNA and target biogenesis. Third, it extends the standard computational steps of miRNA target identification with miRNA-target folding module and GO annotation. Fourth, it supplies the bird eye views of the identification results with info-graphics and grouping information. Fifth, it provides helper functions for database update and auto-recovery to ease system usage and maintenance. Finally, it supports the multi-project and multi-thread management to improve the computational speed.

  • From Current Category

Cite this (Crop Ontology, RRID:SCR_010299)

URL: http://purl.bioontology.org/ontology/CO

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

Ontology that includes crop-specific trait ontologies for several economically important plants like rice, wheat, maize, potato, musa, chickpea and sorghum along with other important domains for crop research such as germplasm, passport, trait measurement scales, experimental design factors etc.

  • From Current Category

Cite this (Ensembl Genomes, RRID:SCR_006773)

URL: http://www.ensemblgenomes.org/

Resource Type: Resource, web service, software resource, data or information resource, data access protocol, database

Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.

  • From Current Category

Cite this (EOL - Encyclopedia of Life, RRID:SCR_005905)

URL: http://eol.org/

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

Database that gathers, generates, and shares taxa, images, videos, and sounds to freely provide knowledge about life on earth to increase awareness and understanding of living nature. Free EOL memberships are ranked so members have greater authority and editorial abilities based on their level of expertise.

  • From Current Category

Cite this (Gabi Primary Database, RRID:SCR_002755)

URL: http://www.gabipd.org/

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

Database that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research.
GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated.
* GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload.

  • From Current Category

    GBrowse

Cite this (GBrowse, RRID:SCR_006829)

URL: http://gbrowse.org/

Resource Type: Resource, data or information resource, database

A database and interactive web site for manipulating and displaying annotations on genomes. Features include: detailed views of the genome; use of a variety of premade or personally made glyphs ; customizable order and appearance of tracks by administrators and end-users; search by annotation ID, name, or comment; support of third party annotation using GFF formats; DNA and GFF dumps; connectivity to different databases, including BioSQL and Chado; and a customizable plug-in architecture (e.g. run BLAST, find oligonucleotides, design primers, etc.). GBrowse is distributed as source code for Macintosh OS X, UNIX and Linux platforms, and as pre-packaged binaries for Windows machines. It can be installed using the standard Perl module build procedure, or automated using a network-based install script. In order to use the net installer, you will need to have Perl 5.8.6 or higher and the Apache web server installed. The wiki portion accepts data submissions.

  • From Current Category

Cite this (Genevestigator, RRID:SCR_002358)

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

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

  • From Current Category

Cite this (Global Crop Diversity Trust, RRID:SCR_010658)

URL: http://genebank.nibio.go.jp/

Resource Type: Resource, biomaterial supply resource, material resource, tissue bank

Not yet vetted by NIF curator

  • From Current Category

  1. Resource Identification Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within RRID that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X