Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts
Proper citation: Brain Architecture Project (RRID:SCR_004283) Copy
http://www.mged.org/index.html
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 7, 2022. Functional Genomics Data Society - FGED Society, founded in 1999 as the MGED Society, advocates for open access to genomic data sets and works towards providing concrete solutions to achieve this. Our goal is to assure that investment in functional genomics data generates the maximum public benefit. Our work on defining minimum information specifications for reporting data in functional genomics papers have already enabled large data sets to be used and reused to their greater potential in biological and medical research. We work with other organizations to develop standards for biological research data quality, annotation and exchange. We facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. We promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis.
Proper citation: Functional Genomics Data Society (RRID:SCR_004358) Copy
http://www.jtcancercenter.org/
Throughout the past 25 years, John Theurer Cancer Center at Hackensack University Medical Center has become one of the largest and most comprehensive cancer centers in the United States. Today, we are a top 50 U.S. News and World Report Best Hospitals for cancer the only cancer center in New Jersey with this prestigious designation. Its mission is to deliver extraordinary care that is multidisciplinary, personalized, innovative, and at the appropriate cost with superior outcomes to the most satisfied patients. Year after year, we have harnessed the newest technologies and retained world-class physicians, nurses and scientists to help service the needs of our patients within our 14 specialized cancer divisions.
Proper citation: John Theurer Cancer Center (RRID:SCR_004359) Copy
http://www.cancerdiagnosis.nci.nih.gov/
National program to improve the diagnosis and assessment of cancer by moving scientific knowledge into clinical practice by coordinating and funding resources and research for the development of innovative in vitro diagnostics, novel diagnostic technologies and appropriate human specimens. The Cancer Diagnosis Program is divided into four branches: Biorepository and Biospecimen Research Branch (BBRB), Diagnostic Biomarkers and Technology Branch (DBTB), Diagnostics Evaluation Branch (DEB), and the Pathology Investigation and Resources Branch (PIRB).
Proper citation: CDP (RRID:SCR_004236) Copy
http://proteome.gs.washington.edu/software/bibliospec/documentation/index.html
BiblioSpec enables the identification of peptides from tandem mass spectra by searching against a database of previously identified spectra. This suite of software tools is for creating and searching MS/MS peptide spectrum libraries. BiblioSpec is available free of charge for noncommercial use through an interactive web-site at http://depts.washington.edu/ventures/UW_Technology/Express_Licenses/bibliospec.php The BiblioSpec package contains the following programs: * BlibBuild creates a library of peptide MS/MS spectra from MS2 files. * BlibFilter removes redundant spectra from a library. * BlibSearch searches a spectrum library for matches to query spectra, reporting the results in an SQT file. In addition to the primary programs, the following auxiliary programs are available: * BlibStats writes summary statistics describing a library. * BlibToMS2 writes a library in MS2 file format. * BlibUpdate adds, deletes, or annotates spectra. * BlibPpMS2 processes spectra (bins peaks, removes noise, normalizes intensity) as done in BlibSearch and prints the resulting spectra to a text file. Several reference libraries are available for download. These libraries are updated regularly and are for use under the Linux operating system. You will find libraries for * Escherichia coli * Saccharomyces cerevisiae * Caenorhabditis elegans
Proper citation: BiblioSpec (RRID:SCR_004349) Copy
https://epigenie.com/epigenetic-tools-and-databases/
Collection of epigenetic data browsers and repositories. Repository of epigenetics tools and databases by EpiGenie team.
Proper citation: Epigenie (RRID:SCR_017494) Copy
Portal to discover COVID-19 open research data on Figshare. Figshare collection of COVID-19 related research data.
Proper citation: COVID-19 research data on Figshare (RRID:SCR_018277) Copy
Resource to aggregate all outbreak information into single location during outbreaks of emerging diseases, such as COVID-19.
Proper citation: outbreak.info (RRID:SCR_018282) Copy
https://discourse.data-against-covid.org/t/list-of-pis-supporting-this-endeavour/124
Group of volunteer data scientists, machines learning experts, bioinformaticians and professional software developers who have joined together to offer their expertise for any data analysis problems that arise in context of ongoing coronavirus pandemic.
Proper citation: Data-Against-COVID Team (RRID:SCR_018288) Copy
Cloud resources for COVID-19 research provided by Rescale, Google Cloud, and Microsoft Azure. High performance computing resources immediately available for COVID-19 research.
Proper citation: Cloud resources for COVID-19 research (RRID:SCR_018286) Copy
Independent, non-profit organization that has developed global data-sharing and analytics platform to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through creation and implementation of sustainable global data-sharing enterprise. Our focus is on sharing individual participant-level data from completed clinical trials. Users can search listed studies, request data sets from data contributors, aggregate data, or share data of their own. Vivli (Center for Clinical Research Data) is launching a portal to share participant-level data from COVID trials.
Proper citation: Vivli (RRID:SCR_018080) Copy
http://www.imperial.ac.uk/research/animallectins
Resource presents information about animal lectins involved in various sugar recognition processes.
Proper citation: genomics resource for animal lectins (RRID:SCR_018122) Copy
Website for study pre-registration. Defines minimum required criteria for pre-registration and allows authors to pre-register their study. It is standardized pre-registration that requires only what is necessary to separate exploratory from confirmatory analyses.
Proper citation: AsPredicted (RRID:SCR_018789) Copy
https://www.nurseshealthstudy.org/
Portal about prospective investigations into risk factors for major chronic diseases in women. Nurses were selected as study population because of their knowledge about health and their ability to provide complete and accurate information regarding various diseases, due to their nursing education.The largest longitudinal study of women. Started in 1976, involving 275000 participants.
Proper citation: Nurses Health Study (RRID:SCR_019144) Copy
Portal for human electrophysiological data, supports, sharing and in depth analysis of identified human neuroelectromagnetic brain data including scalp EEG, its magnetic counterpart, MEG, and, intracranial iEEG and ECoG. Open access EEG and MEG data archives, analysis, and visualization. Neuroelectromagnetic data, tools, and compute resource.
Proper citation: NEMAR (RRID:SCR_019100) Copy
https://www.elektralabs.com/solutions/education
Free curriculum, resources, and research for those considering incorporation of remote health monitoring.
Proper citation: Elektra Academy (RRID:SCR_019234) Copy
Searchable, manually curated collection of Kruppel-type zinc finger genes (KZNFs) in primates with finished or high quality draft genomes.
Proper citation: KZNF Catalog (RRID:SCR_015495) Copy
https://ftp.ncbi.nlm.nih.gov/pub/lu/LabeledIn/
Database of annotations of drug indications in FDA drug labels. LabeledIn contains an expert curated set of indications and a crowdsourced set of indications.
Proper citation: LabeledIn (RRID:SCR_015667) Copy
http://diseases.jensenlab.org/
Database that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. It also assigns confidence scores that facilitate comparison of the different types and sources of evidence.
Proper citation: DISEASES (RRID:SCR_015664) Copy
https://www.research.va.gov/mvp/
National research program to learn how genes, lifestyle, and military exposures affect health and illness.
Proper citation: Million Veteran Program (RRID:SCR_021731) 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.
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.
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.
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.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
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.
