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 97 results from 1 sources

    3DSwap

Cite this (3DSwap, RRID:SCR_004133)

URL: http://caps.ncbs.res.in/3dswap/index.html

Resource Type: Resource, data or information resource, database

Curated knowledegbase of protein structures that are reported to be involved in 3-dimensional domain swapping. 3DSwap provides literature curated information and structure related information about 3D domain swapping in proteins. Information about swapping, hinge region, swapped region, extent of swapping, etc. are extracted from original research publications after extensive literature curation.

  • From Current Category

Cite this (ACT: Artemis Comparison Tool, RRID:SCR_004507)

URL: http://www.sanger.ac.uk/resources/software/act/

Resource Type: Resource, software resource

A free tool for displaying pairwise comparisons between two or more DNA sequences. It can be used to identify and analyze regions of similarity and difference between genomes and to explore conservation of synteny, in the context of the entire sequences and their annotation. It is based on the software for Artemis, the genome viewer and annotation tool. ACT runs on UNIX, GNU/Linux, Macintosh and MS Windows systems. It can read complete EMBL and GENBANK entries or sequences in FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

  • From Current Category

Cite this (Africa Centre for Health and Population Studies, RRID:SCR_008964)

URL: http://www.africacentre.ac.za/Default.aspx?tabid=69

Resource Type: Resource, data set, data or information resource

Longitudinal datasets of demographic, social, medical and economic information from a rural demographic in northern KwaZulu-Natal, South Africa where HIV prevalence is extremely high. The data may be filtered by demographics, years, or by individuals questionnaires. The datasets may be used by other researchers but the Africa Centre requests notification that anyone contact them when downloading their data. The datasets are provided in three formats: Stata11 .dta; tables in a MS-Access .accdb database; and worksheets in a MS-Excel .xlsx workbook. Datasets are generated approximately every six months containing information spanning the whole period of surveillance from 1/1/2000 to present.

  • From Current Category

    ALSPAC

Cite this (ALSPAC, RRID:SCR_007260)

URL: http://www.alspac.bris.ac.uk

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

A long-term health research project which follows pregnant women and their offspring in a continuous health and developmental study. More than 14,000 mothers enrolled during pregnancy in 1991 and 1992, and the health and development of their children has been followed in great detail. The ALSPAC families have provided a vast amount of genetic and environmental information over the years which can be made available to researchers globally.

  • From Current Category

    ARNIE

Cite this (ARNIE, RRID:SCR_000514)

URL: http://www.sanger.ac.uk/cgi-bin/teams/team30/arnie

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

Database that integrates the extracellular protein interaction network generated in our lab using AVEXIS technology with spatiotemporal expression patterns for all genes in the network. The tool allows users to browse the network by clicking on individual proteins, or by specifying the spatiotemporal parameters. Clicking on connector lines will allow users to compare stage-matched expression patterns for genes encoding interacting proteins. Additionally, users can rapidly search for their genes in the network using the BLAST server provided.

  • From Current Category

Cite this (Artemis: Genome Browser and Annotation Tool, RRID:SCR_004267)

URL: http://www.sanger.ac.uk/resources/software/artemis/

Resource Type: Resource, software resource

A free genome browser and annotation tool that allows visualization of sequence features, next generation data and the results of analyses within the context of the sequence, and also its six-frame translation. Artemis is free software and is distributed under the terms of the GNU General Public License. Artemis is written in Java, and is available for UNIX, Macintosh and Windows systems. It can read EMBL and GENBANK database entries or sequence in FASTA, indexed FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

  • From Current Category

Cite this (Bio-Formats, RRID:SCR_000450)

URL: https://www.openmicroscopy.org/site/products/bio-formats

Resource Type: Resource, data processing software, software library, software application, software resource, software toolkit, image processing software

A standalone Java library for reading microscopy image data files in any format and writing image data using standardized, open formats. It currently reads and converts more than 120 file formats to the OME-TIFF data standard. (Dec. 2013)

  • From Current Category

Cite this (BioLexicon, RRID:SCR_000589)

URL: http://www.nactem.ac.uk/biolexicon/

Resource Type: Resource, data or information resource, database

A large-scale English terminological database that contains over 2.2.M lexical entries (3.3M semantic relations), terminological variants and rich linguistic information (subcategorization frames) which supports text mining systems. It is primarily intended to support text mining and information retrieval in the biomedical domain. The BioLexicon provides specific information to help determine the relevant facts to be extracted. BioLexicon is available in a relational database format (MySQL dump format) and it adheres to the EAGLES/ISO standards for lexical resources.

  • From Current Category

Cite this (BioMart MartView, RRID:SCR_010714)

URL: http://www.biomart.org/biomart/martview/ddb9ce1ad275cde372c968d13fa11f5f

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

A web server interface of BioMart software and provides a unified view over disparate data sources that enable bioscientists to retrieve data from one or multiple sources in a simple and efficient way. This MartView web server features seamless data federation making cross querying of data sources in a user friendly and unified way. Data sources include major biomolecular sequence, pathway and annotation databases such as Ensembl, Uniprot, Reactome, HGNC, Wormbase, etc. The web server not only provides access through a web interface, it also supports programmatic access through a Perl API as well as RESTful and SOAP oriented web services.

  • From Current Category

Cite this (BioMart Project, RRID:SCR_002987)

URL: http://www.biomart.org

Resource Type: Resource, software resource, web service, data access protocol

A query-oriented data management system that can be used with any type of data and is particularly suited for providing "data mining" like searches of complex descriptive data. BioMart comes with an "out of the box" website that can be installed, configured and customized according to user requirements. Further access is provided by graphical and text based applications or programmatically using web services or API written in Perl and Java. BioMart has built-in support for query optimization and data federation and in addition can be configured to work as a DAS 1.5 Annotation server. The process of converting a data source into BioMart format is fully automated by the tools included in the package. Currently supported RDBMS platforms are MySQL, Oracle and Postgres.

  • From Current Category

    BoxPlotR

Cite this (BoxPlotR, RRID:SCR_015629)

URL: http://shiny.chemgrid.org/boxplotr/

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

Web application that allows users to generate customized box plots in a number of variants based on their data. It creates basic box plots based on the data and can be modified to include additional information.

  • From Current Category

Cite this (Burroughs Wellcome Fund, RRID:SCR_005772)

URL: http://www.bwfund.org/

Resource Type: Resource, funding resource

The Burroughs Wellcome Fund is an independent private foundation dedicated to advancing the biomedical sciences by supporting research and other scientific and educational activities. Within this broad mission, BWF has two primary goals: * To help scientists early in their careers develop as independent investigators * To advance fields in the basic biomedical sciences that are undervalued or in need of particular encouragement BWF''s financial support is channeled primarily through competitive peer-reviewed award programs. * BWF''s endowment: $586.8 million at the end of FY 2009 * BWF approved $26.4 million in grants during FY 2009 BWF makes grants primarily to degree-granting institutions on behalf of individual researchers, who must be nominated by their institutions. To complement these competitive award programs, BWF also makes grants to nonprofit organizations conducting activities intended to improve the general environment for science. A Board of Directors comprising distinguished scientists and business leaders governs BWF. BWF was founded in 1955 as the corporate foundation of the pharmaceutical firm Burroughs Wellcome Co. In 1993, a generous gift from the Wellcome Trust in the United Kingdom, enabled BWF to become fully independent from the company, which was acquired by Glaxo in 1995. BWF has no affiliation with any corporation.

  • From Current Category

Cite this (CellML Model Repository, RRID:SCR_008113)

URL: http://www.cellml.org/models

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

Repository of biological models created using CellML, a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. Models may be browsed by category, which include: Calcium Dynamics, Cardiovascular Circulation, Cell Cycle, Cell Migration, Circadian Rhythms, Electrophysiology, Endocrine, Excitation-Contraction Coupling, Gene Regulation, Hepatology, Immunology, Ion Transport, Mechanical Constitutive Laws, Metabolism, Myofilament Mechanics, Neurobiology, pH Regulation, PKPD, Signal Transduction, Synthetic Biology. The community can contribute their models to this resource.

  • From Current Category

    CellML

Cite this (CellML, RRID:SCR_008061)

URL: http://www.cellml.org/

Resource Type: Resource, narrative resource, interchange format, markup language, standard specification, data or information resource

The CellML language is an open standard based on the XML markup language. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building. Although CellML was originally intended for the description of biological models; CellML includes information about model structure (how the parts of a model are organizationally related to one another), mathematics (equations describing the underlying processes) and metadata (additional information about the model that allows scientists to search for specific models or model components in a database or other repository). The CellML team is committed to providing freely available tools for creating, editing, and using CellML models. We provide information regarding tools we are developing internally and links to external projects developing tools which utilize the CellML format. Please let us know if you have an open source CellML tool looking for a home on the internet, as we are able to offer limited hosting services on cellml.org.

  • From Current Category

    ChEMBL

Cite this (ChEMBL, RRID:SCR_014042)

URL: https://www.ebi.ac.uk/chembl/

Resource Type: Resource, data or information resource, database

A database of bioactive drug-like small molecules that contains 2D structures, calculated properties (logP, molecular weight, etc.), and abstracted bioactivities (binding constants, ADMET data, etc.). The database attempts to normalize the bioactivities into a uniform set of end-points and units when possible. Links between a molecular target and a published assay (with a set of varying confidence levels) are tagged.Clinical progress of new compounds is continuously integrated into the database. Users can search target data by keyword, protein sequence search, or by navigating the target classification hierarchy. Compound data can be searched via keyword, SMILES strings, compound identifiers, or chemical structure. Assay data can be searched by keyword.

  • From Current Category

    CoCoMac

Cite this (CoCoMac, RRID:SCR_007277)

URL: http://cocomac.g-node.org/main/index.php?

Resource Type: Resource, data or information resource, database

Online access (html or xml) to structural connectivity ("wiring") data on the Macaque brain. The database has become by far the largest of its kind, with data extracted from more than four hundred published tracing studies. The main database, contains data from tracing studies on anatomical connectivity in the macaque cerebral cortex. Also available are a variety of tools including a graphical simulation workbench, map displays and the CoCoMac-Paxinos-3D viewer. Submissions are welcome. To overcome the problem of divergent brain maps ORT (Objective Relational Transformation) was developed, an algorithmic method to convert data in a coordinate- independent way based on logical relations between areas in different brain maps. CoCoMac data is used to analyze the organization of the cerebral cortex, and to establish its structure- function relationships. This includes multi-variate statistics and computer simulation of models that take into account the real anatomy of the primate cerebral cortex. This site * Provides full, scriptable open access to the data in CoCoMac (you must adhere to the citation policy) * Powers the graphical interface to CoCoMac provided by the Scalable Brain Atlas * Sports an extensive search/browse wizard, which automatically constructs complex search queries and lets you further explore the database from the results page. * Allows you to get your hands dirty, by using the custom SQL query service. * Displays connectivity data in tabular form, through the axonal projections service. CoCoMac 2 was initiated at the Donders Institute for Brain, Cognition and Behaviour, and is currently supported by the German neuroinformatics node and the Computational and Systems Neuroscience group at the Juelich research institute.

  • From Current Category

Cite this (COSMIC - Catalogue Of Somatic Mutations In Cancer, RRID:SCR_002260)

URL: http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/

Resource Type: Resource, data or information resource, database

Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.

  • From Current Category

Cite this (Deciphering Developmental Disorders, RRID:SCR_006171)

URL: http://www.ddduk.org/

Resource Type: Resource, disease-related portal, topical portal, research forum portal, biospecimen repository, service resource, portal, storage service resource, material storage repository, data or information resource

The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible.

  • From Current Category

    DECIPHER

Cite this (DECIPHER, RRID:SCR_006552)

URL: http://decipher.sanger.ac.uk/

Resource Type: Resource, data or information resource, database

An interactive database which incorporates a suite of tools designed to aid the interpretation of submicroscopic chromosomal imbalance. DECIPHER enhances clinical diagnosis by retrieving information from a variety of bioinformatics resources relevant to the imbalance found in the patient. Known and predicted genes within an aberration are listed in the DECIPHER patient report, common copy-number changes in healthy populations are displayed and genes of recognized clinical importance are highlighted. Contributing to the DECIPHER database is a Consortium, comprising an international community of academic departments of clinical genetics now numbering more than 200 centers and having uploaded more than 10,000 cases. Each contributing center has a nominated clinical geneticist (with expertise in dysmorphology) and a nominated molecular cytogeneticist who are jointly responsible for data entry for their center. Each center maintains control of its own patient data (which are password protected within the center''''s own DECIPHER project) until patient consent is given to allow anonymous genomic and phenotypic data to become freely viewable within Ensembl and other genome browsers. Once data are shared, consortium members are able to gain access to the patient report and contact each other to discuss patients of mutual interest, thus facilitating the delineation of new microdeletion and microduplication syndromes.

  • From Current Category

Cite this (Dictyostelium Anatomy Ontology, RRID:SCR_005929)

URL: http://dictybase.org/Dicty_Info/dicty_anatomy_ontology.html

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

An ontology to describe Dictyostelium where the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle is defined. There are two main goals for this new tool: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes (already in use), and in the future, of gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning. To this end, all terms are defined. The complete ontology can be browsed using EBI''s ontology browser tool. (http://www.ebi.ac.uk/ontology-lookup/browse.do?ontName=DDANAT)

  • 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