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.
Consortium represents all publicly available gene trap cell lines, which are available on non-collaborative basis for nominal handling fees. Researchers can search and browse IGTC database for cell lines of interest using accession numbers or IDs, keywords, sequence data, tissue expression profiles and biological pathways, can find trapped genes of interest on IGTC website, and order cell lines for generation of mutant mice through blastocyst injection. Consortium members include: BayGenomics (USA), Centre for Modelling Human Disease (Toronto, Canada), Embryonic Stem Cell Database (University of Manitoba, Canada), Exchangeable Gene Trap Clones (Kumamoto University, Japan), German Gene Trap Consortium provider (Germany), Sanger Institute Gene Trap Resource (Cambridge, UK), Soriano Lab Gene Trap Resource (Mount Sinai School of Medicine, New York, USA), Texas Institute for Genomic Medicine - TIGM (USA), TIGEM-IRBM Gene Trap (Naples, Italy).
Proper citation: International Gene Trap Consortium (RRID:SCR_002305) Copy
Software R package for mathematical modeling of infectious disease over networks. Provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Mathematical Modeling of Infectious Disease Dynamics.
Proper citation: EpiModel (RRID:SCR_018539) Copy
https://sedfitsedphat.nibib.nih.gov/software/default.aspx
Software tool for analytical ultracentrifugation developed by Dynamics of Macromolecular Assembly group of Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH. Used for biophysical analysis of macromolecular assembly.
Proper citation: SEDFIT (RRID:SCR_018365) Copy
Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values.
Proper citation: piNET (RRID:SCR_018693) Copy
https://cistrome.shinyapps.io/timer/
Web server for comprehensive analysis of tumor infiltrating immune cells. Web tool for systematical analysis of immune infiltrates across diverse cancer types. Allows users to input function specific parameters, with resulting figures dynamically displayed to access tumor immunological, clinical, and genomic features.
Proper citation: TIMER (RRID:SCR_018737) Copy
Web tool for analyzing regulatory potential of noncoding sequences. rVISTA web server is interconnected with TRANSFAC database, allowing users to either search for matrices present in TRANSFAC library collection or search for user defined consensus sequences. rVISTA 2.0 web server is used for high throughput discovery of cis-regulatory elements. Can process alignments generated by zPicture and blastz alignment programs or use pre-computed pairwise alignments of several vertebrate genomes available from ECR Browser and GALA database. Evolutionary analysis of transcription factor binding sites.
Proper citation: rVista (RRID:SCR_018707) Copy
https://hartleys.github.io/QoRTs/
Software package for quality control and data processing of RNA-Seq experiments. Software portable multifunction toolkit for assisting in analysis, quality control, and data management of RNA-Seq and DNA-Seq datasets. Used for detection and identification of errors, biases, and artifacts produced by high throughput sequencing technology. Can be used in operating system that supports Java and R.
Proper citation: QoRTs (RRID:SCR_018665) Copy
http://tools.dice-database.org/GOnet/)
Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists.
Proper citation: GOnet (RRID:SCR_018977) Copy
https://github.com/raamana/neuropredict
Software tool for assessment of predictive power, with support for neuroimaging features. Easy machine learning and standardized predictive analysis of biomarkers.
Proper citation: neuropredict (RRID:SCR_017405) Copy
https://www.liebertpub.com/doi/pdf/10.1089/15279160150518540
Software package for statistical analysis by SAS Institute Inc, Cary, NC.
Proper citation: StatView Version 5.0 (RRID:SCR_017411) Copy
Software tool for analysis of mass spectrometry imaging data implemented in Galaxy framework. Provides options to analyze mass spectrometry imaging data in imzML file format, including quality control, visualization, preprocessing, statistical analysis, image co-registration and feature identification.Galaxy docker container for mass spectrometry imaging.
Proper citation: Mass spectrometry imaging workbench (RRID:SCR_017410) Copy
http://carolina.imis.athena-innovation.gr/mirextra/
Software tool for analysis of expression data for microRNA function.
Proper citation: DIANA-mirExTra (RRID:SCR_017498) Copy
Portal for visualization and analysis of multi omic data in public and private domains. Enables upload, visualization and analysis of scRNA-seq data.
Proper citation: gene Expression Analysis Resource (RRID:SCR_017467) Copy
http://qutublab.rice.edu/cytoNet/
Cloud based analysis software for cell population microscopy images. Network Analysis of Cell Communities cytoNet image analysis software designed to quantify structure of cell communities from microscope images, using principles of graph theory.
Proper citation: cytoNet (RRID:SCR_017465) Copy
https://CRAN.R-project.org/package=ape
Software R package for analysis of phylogenetics and evolution. Environment for modern phylogenetics and evolutionary analyses in R.
Proper citation: ape (RRID:SCR_017343) Copy
Portal to facilitate integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health or by other agencies that support human genomics research. Resource for genomic scientific community, that leverages cloud based infrastructure for democratizing genomic data access, sharing and computing across large genomic, and genomic related data sets. Component of federated data ecosystem, and is expected to collaborate and integrate with other genomic data resources through adoption of FAIR (Findable, Accessible, Interoperable, Reusable) principles, as their specifications emerge from scientific community. Will provide collaborative environment, where datasets and analysis workflows can be shared within consortium and be prepared for public release to broad scientific community through AnVIL user interfaces.
Proper citation: Analysis, Visualization, and Informatics Lab-space (AnVIL) (RRID:SCR_017469) Copy
https://github.com/zuoxinian/CCS
Software tool for multimodal human brain imaging data analysis. Computational pipeline for discovery science of human brain connectomes at macroscale with multimodal magnetic resonance imaging technologies.
Proper citation: Connectome Computation System (RRID:SCR_017342) Copy
https://CRAN.R-project.org/package=macc
Software package to perform causal mediation analysis under confounding or correlated errors. Includes single level mediation model, two level and three level mediation model for data with hierarchical structures. Under two or three level mediation model, correlation parameter is identifiable and is estimated based on hierarchical likelihood, marginal likelihood or two stage method.
Proper citation: Mediation Analysis of Causality under Confounding (RRID:SCR_017442) Copy
https://github.com/biocore/redbiom
Software tool for allowing samples that contain microbiome features to be rapidly identified. Rapid sample discovery and feature characterization system. Integrated with existing analysis tools to enable fast, large scale microbiome searches and discovery of new microbiome relationships. Service for sample metadata and sample data.
Proper citation: redbiom (RRID:SCR_017285) Copy
https://github.com/Mark-Kramer/Seizure-Waves
Analysis and modeling code for waves of seizure activity.
Proper citation: Seizure-Waves (RRID:SCR_017455) 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.