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.
http://www.physionet.org/physiobank/database/gaitdb/
A mini-collection of human gait data that was constructed as a teaching resource for an intensive course (The Modern Science of Human Aging, conducted at MIT) that includes walking stride interval time series from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot). The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site. Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a gold standard. Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson's disease as they walked for 6 minutes up and down a long hallway.
Proper citation: Gait in Aging and Disease Database (RRID:SCR_006886) Copy
http://painconsortium.nih.gov/
The NIH Pain Consortium was established to enhance pain research and promote collaboration among researchers across the many NIH Institutes and Centers that have programs and activities addressing pain. To this end, the following goals have been identified for the Pain Consortium: * To develop a comprehensive and forward-thinking pain research agenda for the NIH - one that builds on what we have learned from our past efforts. * To identify key opportunities in pain research, particularly those that provide for multidisciplinary and trans-NIH participation. * To increase visibility for pain research - both within the NIH intramural and extramural communities, as well as outside the NIH. The latter audiences include our various pain advocacy and patient groups who have expressed their interests through scientific and legislative channels. * To pursue the pain research agenda through Public-Private partnerships, wherever applicable. This underscores a key dynamic that has been reinforced and encouraged through the Roadmap process.
Proper citation: NIH Pain Consortium (RRID:SCR_006767) Copy
http://inparanoid.sbc.su.se/cgi-bin/index.cgi
Collection of pairwise comparisons between 100 whole genomes generated by a fully automatic method for finding orthologs and in-paralogs between TWO species. Ortholog clusters in the InParanoid are seeded with a two-way best pairwise match, after which an algorithm for adding in-paralogs is applied. The method bypasses multiple alignments and phylogenetic trees, which can be slow and error-prone steps in classical ortholog detection. Still, it robustly detects complex orthologous relationships and assigns confidence values for in-paralogs. The original data sets can be downloaded.
Proper citation: InParanoid: Eukaryotic Ortholog Groups (RRID:SCR_006801) Copy
Professional networking site dedicated to those working, studying, or simply interested in the science of the brain. Those with personal and professional interests in neuroscience, neurology, psychology, and all related areas -- those studying neural activities in invertebrates up to the human brain, including brain-like systems and networks are welcome. The NeuroNetwork was built to allow students and researchers to find and interact with each other in a professional environment. You may create searchable profiles with your research interests; start a blog; upload poster presentations and videos; post and search job listings; form a virtual group based on your interests, geographical location, etc.; and view, post, and RSVP to upcoming meetings. And don''t just create a profile for yourself -- create one for your organization, institute, society, or even your lab as well.
Proper citation: NeuroNetwork (RRID:SCR_006761) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019.
Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines)
Proper citation: HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) Copy
Software to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes.
Proper citation: geNORM (RRID:SCR_006763) Copy
http://platform.invbrain.neuroinf.jp/
Database of information on nervous systems and behavior of various species of invertebrates and a large body of ancillary material to promote the use of invertebrate systems in research and education and facilitate information transfer to engineers that are looking for mechanisms that may be useful to solve a wide range of technological problems. The database is linked to explanations of the contents to allow users to familiarize themselves with the data and the context in which they were obtained. The platform has four entrance points tailored to different target user groups. The first entrance point is designed for users that are interested in using invertebrates for research purposes, in particular in the field of neuroscience, to assist them in initiating research projects. This includes databases of sensory systems, brains, and behavior of invertebrates, especially insects. The databases contain sensory organ structure and function, photographs and movies documenting insect behavior, data acquisition equipment and other instrumentation, software, material for eduction, and bibliography. A second entrance point is available for those that are concerned with implementations of design principles of invertebrate nervous systems and behavior in industrial applications. The third portal is destined for providing quick access for instructors that intend to use invertebrates for educational purposes and the remaining entrance point facilitates obtaining general comparative information on sensory and central nervous systems and behavior of invertebrates.
Proper citation: Invertebrate Brain Platform (RRID:SCR_006764) Copy
http://sourceforge.net/p/fastsemsim/home/Home/
A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: FastSemSim (RRID:SCR_006919) Copy
http://neuroade.christakou.org/
At neuroade, a Cognitive Neuroscience Laboratory, we study change in brain and behavior across multiple time-scales. Researchers in the lab combine a variety of methodologies to answer specific questions about typical and atypical behavior and development. We use functional magnetic resonance imaging (fMRI), peripheral psychophysiology (such as skin conductance responses), behavioral testing, genotyping analysis, and computational modeling. Most of our work takes place at the Centre for Integrative Neuroscience and Neurodynamics (CINN), and we all live in the Department of Psychology at the University of Reading. Our research is divided into several distinct yet highly interlinked themes, all converging in their application to understanding psychopathology -- summarised here in no particular order: * Decision-making and the Evaluation of Decision Outcomes * Dimensions of Impulsivity as a Foraging Strategy * Adolescent Development * Computational Modeling Probes of Individual Differences
Proper citation: neuroade (RRID:SCR_006758) Copy
http://diabetes.niddk.nih.gov/dm/pubs/america/
A compilation and assessment of epidemiologic, public health, and clinical data on diabetes and its complications in the United States. Published by the National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, the book contains 36 chapters organized in five areas: * the descriptive epidemiology of diabetes in the United States based on national surveys and community-based studies, including prevalence, incidence, sociodemographic and metabolic characteristics, risk factors for developing diabetes, and mortality * the myriad complications that affect patients with diabetes * characteristics of therapy and medical care for diabetes * economic aspects, including health insurance and health care costs * diabetes in special populations, including African Americans, Hispanics, Asian and Pacific Islanders, Native Americans, and pregnant women. Diabetes in America, 2nd Edition, has been designed to serve as a reliable scientific resource for assessing the scope and impact of diabetes and its complications, determining health policy and priorities in diabetes, and identifying areas of need in research. The intended audience includes health policy makers at the local and Federal levels who need a sound quantitative base of knowledge to use in decision making; clinicians who need to know the probability that their patients will develop diabetes and the prognosis of the disease for complications and premature mortality; persons with diabetes and their families who need sound information on which to make decisions about their life with diabetes; and the research community which needs to identify areas where important scientific knowledge is lacking.
Proper citation: Diabetes in America (RRID:SCR_006754) Copy
http://www.aids.gov/podcast/podcast-gallery/
Podcasts from AIDS.gov, featuring information from the Federal government about HIV/AIDS prevention, testing, research, treatment, and using new media in response to HIV/AIDS. Categories include: Basic HIV information, New Media, Federal Programs and Policies, HIV/AIDS Awareness Days, and Real Stories.
Proper citation: AIDS.gov Podcast (RRID:SCR_006750) Copy
http://www.physionet.org/physiotools/
Growing library of software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical physics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, quantitative evaluation and comparison of analysis methods, and analysis of nonequilibrium and nonstationary processes. A unifying theme of the research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. Contributions of software to PhysioToolkit are welcome, http://physionet.org/guidelines.shtml#software-contributions
Proper citation: PhysioToolkit (RRID:SCR_006868) Copy
SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.
Proper citation: Surveillance Epidemiology and End Results (RRID:SCR_006902) Copy
http://www.molecularimaging.vcu.edu/
The Center for Molecular Imaging integrates molecular imaging and molecular medicine with systems biology approaches to understand disease complexity, promising to provide predictive, preventative and personalized medicine that will transform health care. The multi-modality molecular imaging program is composed of individual but overlapping research themes with specific projects under each theme. As all projects are underpinned by methodology development in the chemistry, biology, physics and bioengineering of imaging, there is always a strong overlap and cross feed in terms of methods and assays. The research themes include: * Biomarker pharmacodynamic imaging of metabolism, proliferation, cell death and vascular perfusion * Molecular genetic imaging in developing multi-modal reporter gene-based probes * Molecular imaging of angiogenesis and its relation to tumor hypoxia * Multi-modal nanoparticle probes for drug delivery and molecular imaging, including cell and immune-based therapies * Radiolabeled drug pharmacokinetics and studies of drug discovery and structural biology using molecular imaging strategies * Development of nanotechnology molecular imaging systems * Imaging proteomic mass spectrometry * Molecular imaging and molecular pathology diagnostic research The Center for Molecular Imaging fosters collaborative research, bringing together the advances being made in technology-driven research such as bioengineering, chemical genomics and nanotechnology with biomedical research groups studying cell and molecular biology and radiobiology, biologically targeted therapeutics, immuno-based mechanisms, and drug and biomarker discovery. The aim is to develop and validate multi-modality molecular imaging tools that will facilitate the advancement of translational medicine and clinical science research in oncology and neuroscience as well as other clinical research areas. The center is equipped with laboratories for radiochemistry, analytical chemistry, molecular biology, nanotechnology and animal imaging, as well as a dedicated facility for translational clinical imaging. Imaging technologies within the center include Positron Emission Tomography/Computed Tomography (preclinical and clinical), Single Photon Emission Computed Tomography, optical imaging, autoradiography and multi-modality nanotechnology imaging. Molecular probe developments underpin the biological and biomedical research conducted using the above modalities.
Proper citation: Virginia Commonwealth University Medical Center, Center for Molecular Imaging (RRID:SCR_006869) Copy
http://www.microbeworld.org/index.php?option=com_content&view=category&layout=blog&id=99&Itemid=259
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. This Week in Parasitism (TWiP) is a podcast about eukaryotic parasites hosted by Vincent Racaniello and Dick Despommier. Following in the path of their successful podcast ''This Week in Virology'' (TWiV), they strive for an informal yet informative conversation about parasites which is accessible to everyone, no matter what their science background. As science Professors at Columbia University, they have spent their entire academic careers directing research laboratories focused on parasites (Dick) and viruses (Vincent). Their enthusiasm for teaching inspired them to reach beyond the classroom with new media. TWiP is for everyone who wants to learn about parasites in a relaxing way. Music used on TWiP is composed and performed by Ronald Jenkees and used with permission.
Proper citation: TWiP - This Week in Parasitism (RRID:SCR_006788) Copy
http://dally.nimh.nih.gov/matoff/matoff.html
An interactive analysis program that searches neurophysiological data and plots the results. MatOFF was developed especially for dealing with the complexities common to behavioral neurophysiological experiments. It runs under Windows 2000 or XP and relies on MATLAB version R11.1 (or above) for all operations. MatOFF searches a data file to locate and plot epochs (trials) of special interest to the investigator. Appropriate input data files have time-stamped event codes, usually including neuron action potential firing events (spikes), and digitized analog data. The user specifies a list of event code numbers that uniquely identify a sequence of events. MatOFF uses this sequence to search the raw data file, select the epochs that meet the criteria, time-shift the trials to align them on a common event, order the epochs based on user-selected criteria, and plot the results based on a collection of page formatting specifications. MatOFF will also save extracted data and some statistics to disk. Features: * Powerful, interactive searching tools for locating relevant experimental events * Compatible with Cortex data acquisition program * Compatible with Plexon data acquisition system * Flexible, publication-quality graphical display and printing * Comprehensive scripting language * Supports learning and other dynamic behavior * Integrated interface to MATLAB functions * Automatic alignment of trial data and generation of histograms * Large variety of options for selecting and ordering trial data * Descriptive and non-parametric statistics * XY analog displays * Data export with flexible format control * Up to 72 plots per page * Display templates can be saved and reloaded * Free for public or private use * Adaptable to almost any data file format
Proper citation: MatOFF (RRID:SCR_006821) Copy
http://sourceforge.net/projects/bmdexpress/
Bioinformatics tool used to analyze microarray dose-response data. The analysis provides benchmark dose estimates at which different cellular processes are altered in toxicogenomic experiments.
Proper citation: BMDExpress (RRID:SCR_006823) Copy
Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database.
Proper citation: PeptideAtlas (RRID:SCR_006783) Copy
Pharmacology research teams and faculty study mechanisms of disease, develop and test novel drug therapies and seek to understand and prevent drug interactions. They also educate and train medical students, graduate students, residents and fellows in field of pharmacology.
Proper citation: Southern Illinois University School of Medicine Department of Pharmacology (RRID:SCR_006940) Copy
This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies.
Proper citation: GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) 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.
