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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.tissue-solutions.com/
Tissue Solutions offers you a single point to access the entire range of human biological materials for all your research and development needs. This includes diseased and normal tissues in fresh, frozen and FFPE formats. Using our large network of ethical sources we find the tissues you require, to your specifications and will deliver them to your door. Our goal is to provide high quality and well characterized samples to biotech companies, the pharmaceutical community and contract research organizations worldwide. We also organize customized and prospective tissue acquisition projects and give specialized advice relating to all aspects of the acquisition process, including intellectual input on project design. We appreciate that you would rather spend your time finding new biomarkers and developing, testing and validating novel drugs to cure human disease than spend your time sourcing material to help you do your work, so let our dedicated Tissue Acquisitionists lessen your workload and become a virtual part of your team.
Proper citation: Tissue Solutions (RRID:SCR_010672) Copy
T-REX is a free, platform-independent online tool that allows for an integrated, rapid, and more robust analysis of T-RFLP data. Despite increasing popularity and improvements in terminal restriction fragment length polymorphism (T-RFLP) and other microbial community fingerprinting techniques, there are still numerous obstacles that hamper the analysis of these datasets. Many steps are required to process raw data into a format ready for analysis and interpretation. These steps can be time-intensive, error-prone, and can introduce unwanted variability into the analysis. Accordingly, we developed T-REX, free, online software for the processing and analysis of T-RFLP data. Analysis of T-RFLP data generated from a multiple-factorial study was performed with T-REX. With this software, we were able to i) label raw data with attributes related to the experimental design of the samples, ii) determine a baseline threshold for identification of true peaks over noise, iii) align terminal restriction fragments (T-RFs) in all samples (i.e., bin T-RFs), iv) construct a two-way data matrix from labeled data and process the matrix in a variety of ways, v) produce several measures of data matrix complexity, including the distribution of variance between main and interaction effects and sample heterogeneity, and vi) analyze a data matrix with the additive main effects and multiplicative interaction (AMMI) model.
Proper citation: T-REX (RRID:SCR_010715) Copy
A web-server for fast comparative functional profiling of metagenomes.
Proper citation: CoMet (RRID:SCR_011925) Copy
http://tools.genxpro.net/omiras/
A web server for the annotation, comparison and visualization of interaction networks of non-coding RNAs derived from small RNA-Sequencing experiments of two different conditions.
Proper citation: omiRas (RRID:SCR_010833) Copy
http://phylopythias.bifo.helmholtz-hzi.de/index.php?phase=wait
Web Server for Taxonomic Assignment of Metagenome Sequences that is a fast and accurate sequence composition-based classifier that utilizes the hierarchical relationships between clades. Taxonomic assignments with the web server can be made with a generic model, or with sample-specific models that users can specify and create. Several interactive visualization modes and multiple download formats allow quick and convenient analysis and downstream processing of taxonomic assignments.
Proper citation: PhyloPythiaS (RRID:SCR_011923) Copy
Database access to information services, educational opportunities, and resources in print and electronic format to faculty, students, and researchers in the schools of the health sciences.
Proper citation: University of Pittsburgh, Health Sciences Library System (RRID:SCR_011975) Copy
http://compbio.med.harvard.edu/CGHweb/
Data analysis service enabling users to analyse their array-CGH data with multiple algorithms simultaneously.
Proper citation: CGHweb (RRID:SCR_010923) Copy
http://agvgd.iarc.fr/index.php
A freely available, web-based program that combines the biophysical characteristics of amino acids and protein multiple sequence alignments to predict where missense substitutions in genes of interest fall in a spectrum from enriched delterious to enriched neutral.
Proper citation: Align-GVGD (RRID:SCR_010772) Copy
http://www.mutationtaster.org/
Evaluates disease-causing potential of sequence alterations.
Proper citation: MutationTaster (RRID:SCR_010777) Copy
Not yet vetted by NIF curator
Proper citation: Mouse ES Stem Cell Bank (RRID:SCR_010660) Copy
http://hyperbrowser.uio.no/hb/
A generic web-based system, providing statistical methodology and computing power to handle a variety of biological inquires on genomic datasets.
Proper citation: Genomic HyperBrowser (RRID:SCR_010909) Copy
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
http://weizhong-lab.ucsd.edu/metagenomic-analysis/
A customizable web server for fast metagenomic analysis.
Proper citation: WebMGA (RRID:SCR_011951) Copy
A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs.
Proper citation: Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) Copy
http://www.ars.usda.gov/Services/docs.htm?docid=6065
Performs studies demonstrating the nutritional and biochemical effects of trace elements with special emphasis on chromium. Performs studies to elucidate the role of natural products in the improvement of the function of insulin with emphasis on polyphenols from tea and cinnamon. Performs studies on the role of dietary polyphenols on neuropathological changes including those associated with Alzheimers disease. The ultimate goal of the research is to prevent or alleviate early signs and symptoms of the metabolic syndrome which is important in the prevention of type 2 diabetes, cardiovascular, Alzheimers and related diseases. Our database is focused on immunologically-related genes classified under the following categories: Apoptosis CD markers Chemokines Chemokine receptors Cytokines Cytokine receptors Dendritic cell associated genes Type 1 IFN induced proteins Inflammation NFKB signaling pathway Toll receptor signaling pathway T cell activation TH1 cell development TH2 cell development Partners. Partnering with the Diet, Genomics, and Immunology Laboratory
Proper citation: DGIL Porcine Immunology and Nutrition Datebase (RRID:SCR_012743) Copy
FINDbase Worldwide is an online repository of information about the frequency of different mutations leading to inherited disorders in various populations around the globe. Frequency data about 32 disorders, 25 genes within 98 populations covering 1226 mutations is now available. 28 curators worldwide contributed to this database containing data from 37 submissions.
Proper citation: FINDbase Worldwide (RRID:SCR_012744) Copy
A web-based central resource that integrates vaccine literature data mining, vaccine research data curation and storage, and curated vaccine data analysis for vaccines and vaccine candidates developed against various pathogens of high priority in public health and biological safety. The vaccine data includes research data from vaccine studies using humans, natural and laboratory animals.VIOLIN extracts and stores vaccine-related, peer-reviewed papers from PubMed. Several powerful literature searching and data mining programs have been developed. These include an advanced keywords search program, a natural languagae processing (NLP) based literature retrieval program, a MeSH-based literature browser, and a literature alert program. Registered users can subscribe to our email alert service and will be notified of any newly published vaccine papers in the areas of interest. These literature mining programs are designed to help the user and VIOLIN database curators to find efficiently needed vaccine articles and sentences within full-text articles that contain searched keywords or categories.A web-based literature mining and curation system (Limix) is available for registered users/curators to search, curate, and submit structured vaccine data into the VIOLIN database. The curated vaccine-related information contains many categories such as general pathogenesis, protective immunity, vaccine preparation and characteristics, host responses including vaccination protocol and efficacy against virulent pathogen infections. All data within the database is edited manually and is derived primarily from peer-reviewed publications. The curated data is stored in a relational database and can be queried using various VIOLIN search programs. Vaccine-related pathogen and host genes are annotated and available for searchs based on a customized BLAST program. All VIOLIN data are available for download into an XML-based data exchange format.VIOLIN is designed to be a vital source of vaccine information and will provide researchers in basic and clinical sciences with curated data and bioinformatics tools to facilitate understanding and development of vaccines to fight infectious diseases. Category: Other Molecular Biology Databases Subcategory: Drugs and drug design
Proper citation: VIOLIN: Vaccine Investigation and Online Information Network (RRID:SCR_012749) Copy
It consists of two modules - a database of regulatory interactions based on literature and an expertly curated database of transcription factor binding sites. The literature based information in RegTransBase is a manually curated database of regulatory interactions in prokaryotes, captures the knowledge in published scientific literature using a controlled vocabulary. RegTransBase describes a large number of regulatory interactions reported in many organisms and contains various types of experimental data, in particular: * the activation or repression of transcription by an identified direct regulator * determining the transcriptional regulatory function of a protein (or RNA) directly binding to DNA or RNA * mapping or prediction of binding sites for a regulatory protein * characterization of regulatory mutations The analysis section of RegtransBase is based on a set of manually curated alignments of transcription factor binding sites and allows you to search for new binding sites and verify conservation of bindings sites across multiple species through the use of web based analysis tools.
Proper citation: RegTransBase (RRID:SCR_013047) Copy
GABI-Kat is a database of flanking sequence tags (FSTs) from T-DNA mutagenised A. thaliana plants. Over time, an increasing number of lines will become available from NASC. The "show sequence" page of SimpleSearch will display if a GABI-Kat line for a given FST has already been donated to NASC. Lines that have so far not been regrown and confirmed are only available from GABI-Kat directly. We have used four vectors: pAC106 (GenBank:AJ537513), pAC161 (GenBank:AJ537514), pGABI1 (GenBank:AY529716) and pADIS1 (GenBank:AY529717). Sequence and overview map data of all vectors are available from the download page. Features of interest which are not included in the map should be deduced from the sequence. For a specified line, the vector is displayed in the "Show Sequence" page of SimpleSearch.
Proper citation: GABI-KAT (RRID:SCR_012751) Copy
http://epi.grants.cancer.gov/CFR/about_colon.html
It is an international research infrastructure for investigators interested in conducting population and clinic-based interdisciplinary studies on the genetic and molecular epidemiology of colon cancer and its behavioral implications. A central goal of the C-CFR is the translation of this research to the clinical and prevention setting for the benefit of Registry participants and the general public. The C-CFR has information and biospecimens contributed by greater than 11,300 families across the spectrum of risk for colon cancers and from population-based or relative controls. Of particular interest are: identification and characterization of cancer susceptibility genes definition of gene-gene and gene-environment interactions in cancer etiology translational, preventive, and behavioral implications of research findings Special features include: population-based and clinic-based ascertainment systematic collection of validated family history epidemiologic risk factor data clinical and follow-up data biospecimens (including tumor blocks and EBV transformed cell lines) ongoing molecular characterization of the participating families Goals: to contribute to the development of public health measures for the general population by increasing knowledge on genetic factors affecting cancer susceptibility and modification by environmental and lifestyle factors to protect those with increased susceptibility from developing cancer to provide life-prolonging treatment to genetically susceptible individuals Objectives: to establish a comprehensive research resource infrastructure to assist with the implementation of collaborative, interdisciplinary research protocols in the genetic epidemiology of cancer to identify, characterize, and follow-up a cohort of individuals and their family members, spanning the spectrum of cancer risk to identify diverse genetically susceptible populations that could benefit from enrollment in preventive and therapeutic interventions to develop an adaptive and evolving informatics model to support ongoing and future research consortia Sponsor. This study was supported by National Cancer Institute Grants R01 CA47147, R01 CA47305, and R01 CA69664.
Proper citation: Colon CFR (RRID:SCR_013162) Copy
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