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 18 showing 341 ~ 360 out of 27,093 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_008734

    This resource has 1+ mentions.

http://www.broadinstitute.org/cancer/cga/invex/

A permutation-based method (written in Python) for ascertaining genes with a somatic mutation distribution showing evidence of positive selection for non-silent mutations.

Proper citation: InVEx (RRID:SCR_008734) Copy   


  • RRID:SCR_008737

    This resource has 10+ mentions.

http://www.textpresso.org/

An information extracting and processing package for biological literature that can be used online or installed locally via a downloadable software package, http://www.textpresso.org/downloads.html Textpresso's two major elements are (1) access to full text, so that entire articles can be searched, and (2) introduction of categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or describe one (e.g., methods, etc). A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. The Textpresso project serves the biological and biomedical research community by providing: * Full text literature searches of model organism research and subject-specific articles at individual sites. Major elements of these search engines are (1) access to full text, so that the entire content of articles can be searched, and (2) search capabilities using categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or identify one (e.g., cell, gene, allele, etc). The search engines are flexible, enabling users to query the entire literature using keywords, one or more categories or a combination of keywords and categories. * Text classification and mining of biomedical literature for database curation. They help database curators to identify and extract biological entities and facts from the full text of research articles. Examples of entity identification and extraction include new allele and gene names and human disease gene orthologs; examples of fact identification and extraction include sentence retrieval for curating gene-gene regulation, Gene Ontology (GO) cellular components and GO molecular function annotations. In addition they classify papers according to curation needs. They employ a variety of methods such as hidden Markov models, support vector machines, conditional random fields and pattern matches. Our collaborators include WormBase, FlyBase, SGD, TAIR, dictyBase and the Neuroscience Information Framework. They are looking forward to collaborating with more model organism databases and projects. * Linking biological entities in PDF and online journal articles to online databases. They have established a journal article mark-up pipeline that links select content of Genetics journal articles to model organism databases such as WormBase and SGD. The entity markup pipeline links over nine classes of objects including genes, proteins, alleles, phenotypes, and anatomical terms to the appropriate page at each database. The first article published with online and PDF-embedded hyperlinks to WormBase appeared in the September 2009 issue of Genetics. As of January 2011, we have processed around 70 articles, to be continued indefinitely. Extension of this pipeline to other journals and model organism databases is planned. Textpresso is useful as a search engine for researchers as well as a curation tool. It was developed as a part of WormBase and is used extensively by C. elegans curators. Textpresso has currently been implemented for 24 different literatures, among them Neuroscience, and can readily be extended to other corpora of text.

Proper citation: Textpresso (RRID:SCR_008737) Copy   


  • RRID:SCR_008736

http://www.scangrants.com/

A listing of grants and other funding types to support health research, programs and scholarship. Funding sources most frequently listed on ScanGrants include those of private foundations, corporations, businesses, and not-for profit organizations. Finding and listing less traditional funding opportunities is also a priority. Federal and state funding sources are typically not included on ScanGrants because they are readily available on other sites (e.g., www.grants.gov). The funding sources listed on ScanGrants may be of interest to virtually anyone associated with the health field medical researchers, social workers, nurses, students, community-based health educators, academics and others. They include grants, scholarships, fellowships, prizes for scientific achievement or distinguished service, travel awards to professional meetings, abstract, essay and poster awards among other sources of funding. ScanGrants is a free resource that lists funding opportunities for researchers and students at many stages of their research projects or careers. Examples include: poster awards for completed projects; travel grants that could help finance trips to meetings that would enable you to discuss with peers in your field projects you are contemplating undertaking or in the midst of; calls for nominations for science prizes you could nominate colleagues you admire for; and announcements of funding for programs for violence or disease prevention. We invite you to give ScanGrants a try. If you would like your grant or scholarship announcement reviewed for possible posting on ScanGrants, please fill out the form with your name, email address, link to the original online listing of the funding opportunity, the title of the grant or scholarship and as much additional detail as possible.

Proper citation: ScanGrants (RRID:SCR_008736) Copy   


  • RRID:SCR_008730

    This resource has 1+ mentions.

http://www.moffitt.org/

H. Lee Moffitt Cancer Center & Research Institute has made a lasting commitment to the prevention and cure of cancer, working tirelessly in the areas of patient care, research and education to advance one step further in fighting this disease. As part of an elite group of National Cancer Institute (NCI) Comprehensive Cancer Centers, Moffitt focuses on the development of early stage translational research aimed at the rapid translation of scientific discoveries to benefit patient care. Since the first patient admission in October 1986, Moffitt physicians, scientists and staff members have worked together to establish a tradition of excellence offered in an atmosphere characterized by kindness, caring and hope. The Cancer Center''s future growth in clinical care and research rests firmly on this tradition and makes possible the changes ahead. The mission of Moffitt Cancer Center is to contribute to the prevention and cure of cancer. Moffitt''s vision is to be the leader in scientific discovery and translation into compassionate care, cures, and prevention of cancer for our community and the world. As it grows to fulfill its mission, the Cancer Center will continue to be distinguished by its compassionate and effective patient care. Moffitt Cancer Center is a not-for-profit institution. It includes private patient rooms, the Southeast''s largest Blood and Marrow Transplant Program, outpatient treatment programs that record more than 320,500 visits a year, the Moffitt Research Center, Moffitt Cancer Center at International Plaza and the Lifetime Cancer Screening & Prevention Center.

Proper citation: Moffitt Cancer Center (RRID:SCR_008730) Copy   


  • RRID:SCR_008612

    This resource has 100+ mentions.

http://helix.wustl.edu/dcaps/dcaps.html

A simple program for finding nearly matched primers Sponsor: This material is based upon work supported by the National Science Foundation under Grant No. 0114726.

Proper citation: dCAPS Finder (RRID:SCR_008612) Copy   


  • RRID:SCR_008733

http://www.ctspedia.org/do/view/CTSpedia

CTSpedia is a national effort to collect wisdom, tools, educational materials, and other items useful for clinical and translational researchers and to provide timely and useful advice to clinical and translational researchers with specific problems. The CTSpedia is a collaborative vehicle for the CTSA''s Biostatistics/Epidemiology/Research/Design (BERD) Online Resources and Education taskforce to identify and share resources across the national consortium and community researchers world-wide. With the support of the national BERD consortia, the project obtained funding and support from the National Center for Research Resources (NCRR) to expand the original scope and content of CTSpedia and foster collaboration amongst CTSAs. The main goal of CTSpedia.org is to create a definable academic home on the internet for the discipline of clinical and translational sciences across the country and the world. * While the CTSA consortium serves the onsite physical level of the institutions involved, CTSpedia.org seeks to fill the gaps where the network is lacking, and to augment that network as the central hub for the peer to peer sharing of knowledge and resources. * While the CTSA national scope comes to fruition, the international scope of the consortia is more readily facilitated with an online resource like CTSpedia. * Utilizing the collaborative nature of the wiki-style website, CTSpedia.org allows for researchers anywhere in the world to ask questions and receive answers and related information in a timely and efficient manner, overcoming the logistical issues of distance and scheduling. * The streamlined availability of an online resource and knowledge repository will aid in addressing common issues that arise in clinical research, which will filter out consultation requests for minor questions, allowing for CTSA consultants to address more prevalent consultations.

Proper citation: CTSpedia (RRID:SCR_008733) Copy   


http://vortex.cs.wayne.edu/projects.htm#OE2GO

Onto-Express is a web-based tool in the Onto-Tools suite that performs automated function profiling for a list of differentially expressed genes. However, Onto-Express does not support functional profiling for the organisms that do not have annotations in public domain, or use of custom (i.e. user-defined) ontologies. This limitation is also true for most of the other existing tools for functional profiling, which means that researchers working with uncommon organisms and/or new annotations or ontologies may be forced to construct such profiles manually. Onto-Express To Go (OE2GO) is a new tool added to the Onto-Tools ensemble to address these issues. OE2GO is built on top of OE to leverage its existing functionality. In OE2GO, the users now have an option to use either the Onto-Tools database as a source of functional annotations or provide their own annotations in a separate file. Currently, OE2GO supports annotation file in the Gene Ontology format. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: Onto-Express To Go (OE2GO) (RRID:SCR_008854) Copy   


http://www.ucl.ac.uk/tapb/

We aim to facilitate the pathway for access, storage, use and transfer of human organs, cells and tissue between clinical centers within UCL Partners, academic groups in UCL, other universities, hospitals, medical researcher and biotechnology companies, to enhance the ability for researchers to access the materials they need. Alongside this, researchers will be able to exchange information and access guides on regulatory, ethics and practical issues concerning access, transfer and use of this type of material. These guides will be video and documents format, based on talks at organized events given by experts in the relevant fields. All of this information will be accessible on a website that seeks to link groups within UCL and attract attention from the wider world through social media and expansion of existing contacts. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers UCL has the highest concentration of biomedical researchers in Europe. As part of this, UCL has numerous licensed biobanks and is associated with many research intensive hospitals in North London. The role of a biobank is to prepare and hold human tissue samples in for use by medical researchers to help delivery new treatments. Hospitals can also provide human tissue for research by utilizing waste human tissue taken as part of surgery or diagnostic procedures, but is normally incinerated. The researchers using the human tissue could be working within academic laboratories in UK universities and institutions or as part of commercial companies. Researchers currently cannot easily access human tissue to meet the demands of their research, often due to the long ethical, regulatory and contractual processes. However, with the enormous UCL biobanking and research Hospital resources, UCL could be a leading academic institution in providing human tissue for medical research within the UK and internationally. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers. This relies on creating an overarching infrastructure, to consolidate information on disparate human tissue resources around UCL, and (where possible) gain centralized ethical and regulatory and contractual approval for use of the tissue. Funding the infrastructure will rely on a cost recovery model for a per sample basis. As a result the time needed to obtain tissue for research will be dramatically reduced, whilst providing a simple costing model for obtaining human tissue. This will make human tissue procurement much more efficient for end users.

Proper citation: Tissue Access for Patient Benefit (RRID:SCR_008853) Copy   


  • RRID:SCR_008607

    This resource has 1+ mentions.

http://www.braintelemetry.com

The LVC64 accepts 64 microvolt-level buffered input signals from headstage preamps and serves as a 24-bit recording device. It is connected to a PC with an USB2.0 cable and provides a complete digital system to record broadband bioelectric signals. It has two parts such as a 64-channel ADC unit and a digital interface & power supply unit. Between these units there is a slip ring commutator and a DC motor. The main features of the LVC system include: Up to 128 Analog inputs per system; Each Analog input is sampled with an individual 24 bit delta-sigma A/D converter Analog inputs are simultaneously sampled at 1750 to 32000 samples per second In addition to multiple unit activity - the EEG, field potentials and behavioral marker signals are recorded simultaneously in the same file Full scale analog input range is 5 millivolts RMS (14 mV peak-to-peak) Analog inputs are differential inputs Extremely low input referred noise levels of max. 8 uV peak-to-peak Direct headstage tether and tether extension cable inputs Slip ring commutator for un-twisting the twisted tether cable Headstage power supplies Up to 24 bit TTL compatible Parallel Input Port for monitoring external signals and external Timestamp Clock input and output for multiple system synchronization Totally electrically isolated system from AC Power and Ground ''Microvolts-to-harddisk dumper'' data acquisition program running in host PC (32-bit MS Window XP) Online display of records during data acquisition in Host PC''s monitor Offline spike sorting by Cooperative Linux software of the Host PC

Proper citation: Braintelemetry (RRID:SCR_008607) Copy   


http://www.openmicroscopy.org/site

Open tools to support data management for biological light microscopy produced by a multi-site collaborative effort among academic laboratories and a number of commercial entities. Designed to interact with existing commercial software, all OME formats and software are free, and all OME source code is available under the GNU General public license or through commercial license from Glencoe Software. OME is developed as a joint project between research-active laboratories at the Dundee, NIA Baltimore, and Harvard Medical School and LOCI. In addition, OME has active collaborations with many imaging and informatics groups. While many other applications could use OME''s architecture and design, their specific implementation is focused on biological and biomedical imaging. Those interested in applying OME''s technology to other applications should contact the developers. OME work is divided into several different standards and software projects: * Bio-Formats: A Java-based library for reading and writing over 90 microscopy file formats. * OMERO Software: The Java-based OMERO software project, which currently includes tools for storing, visualizing, managing, and annotating microscopic images and metadata. * OME-XML & OME-TIFF: The OME-XML and OME-TIFF file format specifications, which are open file formats for sharing microscope image data. * OME Server: This was the original OME server project which has now ended and is a legacy product. It implements image-based analysis of cellular dynamics and image-based screening of cellular localization or phenotypes, and included a fully developed version of the 2003 version of OME-XML Schema language.

Proper citation: OME - Open Microscopy Environment (RRID:SCR_008849) Copy   


http://www.neuroscience.cam.ac.uk/

This portal provides information about the neuroscience department at the University of Cambridge. Cambridge has a strong tradition in neuroscience having been host to the first analyses of neural signaling in the 1930s, determined the mechanisms of neuronal firing in the 1950s, and heralded some of the early theoretical approaches to the functions of neural circuitry in the 1960s. Neuroscience continues to grow at Cambridge, with an impressive record of achievement in multidisciplinary research.

Proper citation: Cambridge Neuroscience Department (RRID:SCR_008649) Copy   


  • RRID:SCR_008648

    This resource has 100+ mentions.

http://www.neurosciencenetwork.com/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. An initiative to build connections among the many powerful resources across the region. Between colleges and universities, pharmaceutical and biotechnology companies, device developers, startups and service businesses, the Cure Corridor, Einsteins''s Alley, the Pharm Belt, or whatever you like to call the region, offers opportunities for discovery and development of new therapies that is unmatched. Sponsors: The NeuroScience Network is made possible, in part, through funding from Bio 1 WIRED.

Proper citation: The NeuroScience Network (RRID:SCR_008648) Copy   


http://madrc.mgh.harvard.edu/

An Alzheimer's disease research center which supports new research and enhances ongoing research by providing core support to bringing together behavioral, biomedical, and clinical scientists. The Center conducts multidisciplinary research, trains scientists, and spreads information about Alzheimer's disease and related disorders to the general public. The principal goal of the Massachusetts ADRC is to support research in aging, Alzheimer's Disease and other related disorders. Researchers work with national and international multi-disciplinary teams to understand: normal aging, the transition from normal aging to mild forms of memory problems, and the later stages of dementia. The Massachusetts ADRC has an active brain donation program at the Massachusetts General Hospital (MGH) for patients as well as subjects enrolled in research studies.

Proper citation: Massachusetts Alzheimer's Disease Research Center (RRID:SCR_008764) Copy   


  • RRID:SCR_008885

    This resource has 1+ mentions.

http://www.aniara.com

An Antibody supplier

Proper citation: Aniara (RRID:SCR_008885) Copy   


https://www.radc.rush.edu/res/ext/home.htm

An Alzheimer's disease center which researches the cause, treatment and prevention of Alzheimer's disease with a focus on four main areas of research: risk factors for Alzheimer's and related disorders, the neurological basis of the disease, diagnosis, and treatment. Data includes a number of computed variables that are available for ROS, MAP and MARS cohorts. These variables are under categories such as affect and personality, chronic medical conditions, and clinical diagnosis. Specimens include ante-mortem and post-mortem samples obtained from subjects evaluated by ROS, MAP and clinical study cores. Specimen categories include: Brain tissue (Fixed and frozen), Spinal cord, Muscles (Post-mortem), and Nerve (Post-mortem), among other types of specimens. Data sharing policies and procedures apply to obtaining ante-mortem and post-mortem specimens from participants evaluated by the selected cohorts of the RADC.

Proper citation: Rush Alzheimer's Disease Center (RRID:SCR_008763) Copy   


http://www.mc.uky.edu/coa/

A center which focuses on research dedicated to the aging process and age-related brain diseases, as well as education, outreach, and clinical programs that promote healthy brain aging. The major foci of the Center are basic and applied research in Alzheimer's disease and related neurodegenerative disorders. Its objectives include expanding translational neuroscience research and providing educational opportunities to the general public, as well as healthcare students and professionals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Sanders Brown Center on Aging (RRID:SCR_008765) Copy   


  • RRID:SCR_008641

    This resource has 1+ mentions.

http://www.transgenic-hydra.org/

The Transgenic Hydra Facility is a non-profit facility in the laboratory of Thomas Bosch at the University of Kiel that assists scientists to use and to develop transgenic Hydra polyps. Our mission is to provide investigators access to the latest technology for the efficient production of transgenic polyps. We particularly encourage scientists from laboratories lacking the infrastructure for transgenic Hydra technologies to use our services. Abstract: Understanding the evolution of development in large part relies on the study of phylogenetically old organisms. Cnidarians, such as Hydra, have become attractive model organisms for these studies. However, despite long-term efforts, stably transgenic animals could not be generated, severely limiting the functional analysis of genes. Here we report the efficient generation of transgenic Hydra lines by embryo microinjection. One of these transgenic lines expressing EGFP revealed remarkably high motility of individual endodermal epithelial cells during morphogenesis. We expect that transgenic Hydra will become important tools to dissect the molecular mechanisms of development at the base of the Metazoan tree. Sponsors: Financial support for this research was provided by the German Research Foundation [Deutsche Forschungsgemeinschaft Grants B0848/13 and SFB617.

Proper citation: Transgenic Hydra Facility (RRID:SCR_008641) Copy   


  • RRID:SCR_008877

    This resource has 1+ mentions.

http://www.ttuhsc.edu/centers/aging/giabrainbank.aspx

The Brain Bank was developed with two service-minded objectives: provide a free brain autopsy to confirm clinical diagnosis of dementia, and collect, bank and provide brain tissue to qualified scientific researchers studying diseases related to dementia. By working together, patients and researchers can help us understand the origins of neurodegenerative disease and eventually improve the treatment and care of dementia. The clinical diagnosis of Alzheimer's disease can only be confirmed by brain autopsy, or the examination of brain tissue after death. This examination will determine a patients's precise type of dementia. To confirm the diagnosis of Alzheimer's, for example, the brain tissue is examined for amyloid plaques and neurofibrillary tangles by a neuropathologist. The presence of these plaques and tangles will verify the clinical diagnosis of Alzheimer's disease. While it is important to us to enroll patients with dementia, it is equally important to enroll people with no dementia. These subjects are termed as controls and the brain tissue from controls will enable researchers to make comparisons to brain tissue from dementia patients. We are seeking donations from individuals who have had an age-related neurodegenerative disease like Alzheimer's, Parkinson's, Lewy Body or other related dementia.

Proper citation: GIA Brain Bank Program (RRID:SCR_008877) Copy   


https://www.bi.mpg.de/de

The Max Planck Institute of Neurobiology was a research institute of the Max Planck Society located in Martinsried, a suburb of Munich in Germany. It existed between 1984 and 2022 and merged with the Max Planck Institute for Ornithology to the new, joint Max Planck Institute for Biological Intelligence in 2023. The institute is dedicated to basic research on topics in behavioral ecology, evolutionary biology and neuroscience.

Proper citation: Max Planck Institute for Biological Intelligence (RRID:SCR_008874) Copy   


http://adc.med.nyu.edu/

The NYU Alzheimer's Disease Center is part of the Department of Psychiatry at New York University School of Medicine. The center's goals are to advance current knowledge and understanding of brain aging and Alzheimer's disease, to expand the numbers of scientists working in the field of aging and Alzheimer's research, to work toward better treatment options and care for patients, and to apply and share its findings with healthcare providers, researchers, and the general public. The ADC's programs and services extend to other research facilities and to healthcare professionals through the use of its core facilities. The NYU ADC is made up of seven core facilities: Administrative Core, Clinical Core, Neuropathology Core, Education Core, Data Management and Biostatistics Core, Neuroimaging Core, and Psychosocial Core.

Proper citation: NYU Alzheimer's Disease Center (RRID:SCR_008754) 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. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET 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 dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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 dkNET 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