Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • 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

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 363 showing 7241 ~ 7260 out of 26,884 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_006794

    This resource has 50+ mentions.

https://cansar.icr.ac.uk/

canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data.

Proper citation: canSAR (RRID:SCR_006794) Copy   


http://purl.bioontology.org/ontology/IDOBRU

A biomedical ontology in the domain of zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular baterium.

Proper citation: Brucellosis Ontology (RRID:SCR_006795) Copy   


  • RRID:SCR_006797

https://itunes.apple.com/gb/app/neuropub-visualizer/id405721542?mt=8

A NIfTI visualizer for statistical brain images (fMRI, VBM, etc) the iPad. The visualizer displays these images as overlay on the MNI standard brain. You can use it to store all your statistical images from your fMRI / VBM / TBSS studies and visualise them in 2D and 3D. Use NeuroPub as a library for your statistical images. It's the perfect app to bring to meetings, conferences, etc, and show your latest results.

Proper citation: NeuroPub Visualizer (RRID:SCR_006797) Copy   


http://redfly.ccr.buffalo.edu

Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome.

Proper citation: REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) Copy   


  • RRID:SCR_006792

    This resource has 10+ mentions.

http://cancer.cellmap.org

It is a collection of selected human-focused cellular pathways implicated in cancer that are linked to visualization and analysis tools. Biologists can browse and search the Cancer Cell Map pathways and view gene expression data on any pathway. All data is freely available. Computational biologists can download all pathways in BioPAX format for global analysis. Software developers can build software on top of the Cancer Cell Map using the web service API. Download and install the cPath pathway database software to create a local mirror of the Cancer Cell Map. Cancer Cell Map pathways were selected based on the scientific interests of research labs at Memorial Sloan-Kettering Cancer Center. Effort was made not to duplicate information in other public pathway databases. Available pathways include: Alpha6Beta4Integrin, AndrogenReceptor, EGFR1, Hedgehog, ID, KitReceptor, NOTCH, TGFBR, TNF alpha/NF-kB, Wnt. Each pathway has around 100-400 interactions.

Proper citation: Cancer Cell Map (RRID:SCR_006792) Copy   


http://www.berkeleybop.org/

The BBOP, located at the Lawrence Berkeley National Labs, is a diverse group of scientific researchers and software engineers dedicated to developing tools and applying computational technologies to solve biological problems. Members of the group contribute to a number of projects, including the Gene Ontology, OBO Foundry, the Phenotypic Quality Ontology, modENCODE, and the Generic Model Organism Database Project. Our group is focused on the development, use, and integration of ontolgies into biological data analysis. Software written or maintained by BBOP is accessible through the site.

Proper citation: Berkeley Bioinformatics Open-Source Projects (RRID:SCR_006704) Copy   


  • RRID:SCR_006981

    This resource has 1+ mentions.

https://github.com/dgleich/matlab-bgl

A Matlab package for working with graphs that uses the Boost Graph Library to efficiently implement the graph algorithms. MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.

Proper citation: matlab-bgl (RRID:SCR_006981) Copy   


  • RRID:SCR_007038

    This resource has 100+ mentions.

http://www.psort.org

Portal to the PSORT family of computer programs for the prediction of protein localization sites in cells, as well as other datasets and resources relevant to localization prediction. The standalone versions are available for download for larger analyses.

Proper citation: Psort (RRID:SCR_007038) Copy   


http://www.theassc.org/

An academic society that promotes rigorous research directed toward understanding the nature, function, and underlying mechanisms of consciousness. The ASSC includes members working in the fields of cognitive science, medicine, neuroscience, philosophy, and other relevant disciplines in the sciences and humanities.
The ASSC web site has several main functions:
* coordinating annual conferences on aspects of the scientific study of consciousness.
* promotion of other activities in the field (smaller conferences, mailing lists, bibliographic resource, etc).
* facilitate consciousness research with awards for new investigators.
* publication of papers relevant to the scientific study of consciousness in the inter-disciplinary journal Psyche.
The ASSC Students community''s aim is to foster greater involvement of graduate students within the Association for the Scientific Study of Consciousness (ASSC) and improve ways in which the ASSC serves the needs of its student members. Its primary goal is to promote research and debate about consciousness among new researchers.
It organizes activities like the current essay contest, details of which are on the news page. It also manage the student pages of the ASSC website and conduct occasional surveys of the ASSC student members.

Proper citation: Association for the Scientific Study of Consciousness (RRID:SCR_007154) Copy   


  • RRID:SCR_007155

    This resource has 1+ mentions.

http://primers.niob.knaw.nl/

This automatic primer design service uses the Primer3 Software (through EMBOSS primer3 interface) to design two sets of primers for doing a nested PCR. The input can either be in Fasta format or in GENOTRACE output format. You will have to indicate with square brackets which region should be included in the amplicon. Primers for multiple amplicons (for example all exons) can be designed in a single run.

Proper citation: Automatic Primer Design (RRID:SCR_007155) Copy   


  • RRID:SCR_007030

    This resource has 1+ mentions.

http://www.parkinsons.org.uk/content/parkinsons-uk-brain-bank

A brain bank of the United Kingdom which collects human brains for Parkinsons disease research. The collection is comprised of brain, spinal cord and a sample of cerebrospinal fluid from people with and without Parkinson's after death. Researchers can fill out a brain tissue request form to order samples from the bank.

Proper citation: Parkinsons UK Brain Bank (RRID:SCR_007030) Copy   


  • RRID:SCR_007147

    This resource has 1+ mentions.

http://www.nervenet.org/main/dictionary.html

A mouse-related portal of genomic databases and tables of mouse brain data. Most files are intended for you to download and use on your own personal computer. Most files are available in generic text format or as FileMaker Pro databases. The server provides data extracted and compiled from: The 2000-2001 Mouse Chromosome Committee Reports, Release 15 of the MIT microsatellite map (Oct 1997), The recombinant inbred strain database of R.W. Elliott (1997) and R. W. Williams (2001), and the Map Manager and text format chromosome maps (Apr 2001). * LXS genotype (Excel file): Updated, revised positions for 330 markers genotyped using a panel of 77 LXS strain. * MIT SNP DATABASE ONLINE: Search and sort the MIT Single Nucleotide Polymorphism (SNP) database ONLINE. These data from the MIT-Whitehead SNP release of December 1999. * INTEGRATED MIT-ROCHE SNP DATABASE in EXCEL and TEXT FORMATS (1-3 MB): Original MIT SNPs merged with the new Roche SNPs. The Excel file has been formatted to illustrate SNP haplotypes and genetic contrasts. Both files are intended for statistical analyses of SNPs and can be used to test a method outlined in a paper by Andrew Grupe, Gary Peltz, and colleagues (Science 291: 1915-1918, 2001). The Excel file includes many useful equations and formatting that will help in navigating through this large database and in testing the in silico mapping method. * Use of inbred strains for the study of individual differences in pain related phenotypes in the mouse: Elissa J. Chesler''s 2002 dissertation, discussing issues relevant to the integration of genomic and phenomic data from standard inbred strains including genetic interactions with laboratory environmental conditions and the use of various in silico inbred strain haplotype based mapping algorithms for QTL analysis. * SNP QTL MAPPER in EXCEL format (572 KB, updated January 2002 by Elissa Chesler): This Excel workbook implements the Grupe et al. mapping method and outputs correlation plots. The main spreadsheet allows you to enter your own strain data and compares them to haplotypes. Be very cautious and skeptical when using this spreadsheet and the technique. Read all of the caveates. This excel version of the method was developed by Elissa Chesler. This updated version (Jan 2002) handles missing data. * MIT SNP Database (tab-delimited text format): This file is suitable for manipulation in statistics and spreadsheet programs (752 KB, Updated June 27, 2001). Data have been formatted in a way that allows rapid acquisition of the new data from the Roche Bioscience SNP database. * MIT SNP Database (FileMaker 5 Version): This is a reformatted version of the MIT Single Nucleotide Polymorphism (SNP) database in FileMaker 5 format. You will need a copy of this application to open the file (Mac and Windows; 992 KB. Updated July 13, 2001 by RW). * Gene Mapping and Map Manager Data Sets: Genetic maps of mouse chromosomes. Now includes a 10th generation advanced intercross consisting of 500 animals genetoyped at 340 markers. Lots of older files on recombinant inbred strains. * The Portable Dictionary of the Mouse Genome, 21,039 loci, 17,912,832 bytes. Includes all 1997-98 Chromosome Committee Reports and MIT Release 15. * FullDict.FMP.sit: The Portable Dictionary of the Mouse Genome. This large FileMaker Pro 3.0/4.0 database has been compressed with StuffIt. The Dictionary of the Mouse Genome contains data from the 1997-98 chromosome committee reports and MIT Whitehead SSLP databases (Release 15). The Dictionary contains information for 21,039 loci. File size = 4846 KB. Updated March 19, 1998. * MIT Microsatellite Database ONLINE: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. ONLINE. Updated July 12, 2001. * MIT Microsatellite Database: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. File size = 3.0 MB. Updated March 19, 1998. * OurPrimersDB: A small database of primers. Download this database if you are using numerous MIT primers to map genes in mice. This database should be used in combination with the MITDB as one part of a relational database. File size = 149 KB. Updated March 19, 1998. * Empty copy (clone) of the Portable Dictionary in FileMaker Pro 3.0 format. Download this file and import individual chromosome text files from the table into the database. File size = 231 KB. Updated March 19, 1998. * Chromosome Text Files from the Dictionary: The table lists data on gene loci for individual chromosomes.

Proper citation: Mouse Genome Databases (RRID:SCR_007147) Copy   


http://www.improvision.com

PerkinElmer designs, manufactures and delivers advanced technology solutions that address the world''s most critical health and safety concerns, including maternal and fetal health, clean water and air, and safe food and toys. It''s expertise combines science, innovation and a culture of operational excellence to offer our customers technology services and support that improve the quality of people''s lives worldwide.

Proper citation: Cellular Imaging and Analysis (RRID:SCR_007149) Copy   


  • RRID:SCR_007143

    This resource has 1+ mentions.

http://hendrix.imm.dtu.dk/software/lyngby/

Matlab toolbox for the analysis of functional neuroimages (PET, fMRI). The toolbox contains a number of models: FIR-filter, Lange-Zeger, K-means clustering among others, visualizations and reading of neuroimaging files.

Proper citation: Lyngby (RRID:SCR_007143) Copy   


http://med.stanford.edu/narcolepsy.html

The Stanford Center for Narcolepsy was established in the 1980s as part of the Department of Psychiatry and Behavioral Sciences. Today, it is the world leader in narcolepsy research with more than 100 articles on narcolepsy to its name. The Stanford Center for Narcolepsy was the first to report that narcolepsy-cataplexy is caused by hypocretin (orexin) abnormalities in both animal models and humans. Under the direction of Drs. Emmanuel Mignot and Seiji Nishino, the Stanford Center for Narcolepsy today treats several hundred patients with the disorder each year, many of whom participate in various research protocols. Other research protocols are conducted in animal models of narcolespy. We are always looking for volunteers in our narcolepsy research studies. We are presently recruiting narcoleptic patients for genetic studies, drug clinical trials, hypocretin measurement studies in the CSF and functional MRI studies. Monetary gifts to the Center for Narcolepsy are welcome. If you wish to make the ultimate gift, please consider participating in our Brain Donation Program. To advance our understanding of the cause, course, and treatment of narcolepsy, in 2001 Stanford University started a program to obtain human brain tissue for use in narcolepsy research. Donated brains provide an invaluable resource and we have already used previously donated brains to demonstrate that narcolepsy is caused by a lack of a very specific type of cell in the brain, the hypocretin (orexin) neuron. While the brain donations do not directly help the donor, they provide an invaluable resource and a gift to others. The real answers as to what causes or occurrs in the brain when one has narcolepsy will only be definitively understood through the study of brain tissue. Through these precious donations, narcolepsy may eventually be prevented or reversible. We currently are seeking brains from people with narcolepsy (with cataplexy and without), idiopathic hypersomnia and controls or people without a diagnosed sleep disorder of excessive sleepiness. Control brains are quite important to research, as findings must always be compared to tissue of a non-affected person. Friends and loved ones of people who suffer with narcoleps may wish to donate to our program to help fill this very important need. Refer to the Movies tab for movies of Narcolepsy / Cataplexy.

Proper citation: Stanford Center for Narcolepsy (RRID:SCR_007021) Copy   


  • RRID:SCR_006969

    This resource has 100+ mentions.

http://prodom.prabi.fr/

Comprehensive set of protein domain families automatically generated from UniProt Knowledge Database. Automated clustering of homologous domains generated from global comparison of all available protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ProDom (RRID:SCR_006969) Copy   


http://www.ebi.ac.uk/thornton-srv/databases/WSsas/

SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank and provides functional residue annotation based on data from the Catalytic Site Atlas and PDBsum. The web service is aimed to facilitate the use of the SAS tool when having a huge number of queries. Currently, the web service provides annotation for binding sites (to ligand, metal or nucleic acid), catalytic residues and amino acids related to protein-protein interactions.

Proper citation: WSsas - Web Service for the SAS tool (RRID:SCR_007051) Copy   


http://neurocommons.org/

The Neurocommons project is an Open Source knowledge management platform for biological research. It seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as usable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called interoperability. We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

Proper citation: The NeuroCommons Project (RRID:SCR_007171) Copy   


  • RRID:SCR_007169

    This resource has 100+ mentions.

https://hpc.nih.gov/systems/

The NIH Biowulf cluster is a GNU/Linux parallel processing system designed and built at the National Institutes of Health and managed by the Helix Systems Staff. The system is designed for large numbers of simultaneous jobs common in bioinformatics as well as large-scale distributed memory tasks such as molecular dynamics. Sponsor: This work was supported by the National Institutes of Health Intramural Research Program through the Center for Information Technology and the National Institute of Neurological Disorders and Stroke, and by the Internal National Institute of Standards and Technology Research Fund. Keywords: Software, Program, Processing, System, Simulatenous, Bioinformatics, Memory, Molecular, Dynamics,

Proper citation: Biowulf at the NIH (RRID:SCR_007169) Copy   


http://www.port.ac.uk/research/exrc/

Supports researchers using Xenopus models. Researchers are encouraged to deposit Xenopus transgenic and mutant lines, Xenopus in situ hybridization probes, Xenopus specific antibodies and Xenopus expression clones with the Centre. EXRC staff perform quality assurance testing on these reagents and then make them available to researchers at cost. Supplies wild-type Xenopus, embryos, oocytes and Xenopus tropicalis fosmids.

Proper citation: European Xenopus Resource Center (RRID:SCR_007164) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. RRID 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