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.
https://www.ebi.ac.uk/ena/pathogens/covid-19
Data collection related to COVID-19 held at EMBL-EBI , including sequences of outbreak isolates and records related to coronavirus biology, protein expression, protein sequence, protein structure, proteome and translatome data and literature.
Proper citation: EMBL-EBI Pathogens - COVID-19 (RRID:SCR_018343) Copy
https://bigd.big.ac.cn/ncov/?lang=en
Bioinformation related to COVID-19. Site developed and maintained by China National Center for Bioinformation. Collection of sequences, genome variations, publication, clinical resource data.
Proper citation: 2019 Novel Coronavirus Resource (2019nCoVR) by China National Center for Bioinformation (RRID:SCR_018342) Copy
http://www.evolvedmicrobe.com/CurveFitter/
Software tool for growth curve fitting and visualization. Program allows to fit growth curve using simple GUI or advanced scripting environment. Used to fit growth curves generated for data collected in microtiter plates or elsewhere.
Proper citation: CurveFitter (RRID:SCR_018461) Copy
https://github.com/embl-cba/fiji-plugin-bigDataProcessor/blob/master/README.md
Software tool for visual inspection and processing of big image data. Enables loading of Tiff and Hdf5 based image data. BDC supports cropping and saving of big image data including binning and bit depth conversion. Used for analysis of TB sized image data like light sheet microscopy or electron microscopy.
Proper citation: Big Data Processor (RRID:SCR_018484) Copy
http://theparkerlab.org/tools/isleteqtl/
Web tool for exploring variants in islet expression quantitative trait loci. Data is result of collaboration between Michigan University Parker lab, Department of Biostatistics and Center for Statistical Genetics at University of Michigan, National Human Genome Research Institute, Jackson Laboratory for Genomic Medicine, Department of Genetics at University of North Carolina, European Bioinformatics Institute, Department of Preventive Medicine at University of Southern California, and Department of Physiology and Biophysics at University of Southern California.
Proper citation: Islet eQTL Explorer (RRID:SCR_018692) Copy
https://www.ucl.ac.uk/ncl-disease/mutation-and-patient-database
Collection of published mutations and sequence variations in genes that cause Neuronal Ceroid Lipofuscinoses together with unpublished data included with permission. There are two tables for each human NCL disease gene - Patient Datasheets list all published or reported patients and families, and Mutation Datasheets list all published or reported mutations, cross-referenced to patient table. Datasheets are available to view or download as excel files for off-site use to aid local needs or interests. Database follows mutation nomenclature recommendations of Human Genome Variation Society.
Proper citation: Mutation and Patient Database (RRID:SCR_018806) Copy
https://ohlerlab.mdc-berlin.de/software/RiboTaper_126/
Software tool as analysis pipeline for ribosome profiling experiments, which exploits triplet periodicity of ribosomal footprints to call translated regions. Statistical approach that identifies translated regions on basis of characteristic three nucleotide periodicity of Ribo-seq data.
Proper citation: RiboTaper (RRID:SCR_018880) Copy
Software R package for flexibly restructuring and aggregating data.
Proper citation: reshape (RRID:SCR_018983) Copy
Web tool for visualization of genome annotations across large phylogenetic trees.Used for visualization and exploration of functionally annotated microbial tree of life. Integrates taxonomic, phylogenetic and functional annotation data from bacterial and archaeal genomes.
Proper citation: Annotree (RRID:SCR_018980) Copy
http://incelldownload.gehealthcare.com/bin/download_data/SoftWoRx/7.0.0/SoftWoRx.htm
Software for acquisition, deconvolution, processing, analysis, and display of DeltaVision images. Used in DeltaVision OMX SR imaging system., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SoftWoRx software (RRID:SCR_019157) Copy
http://easybioai.com/sc2disease/
Manually curated database of single cell transcriptome for human diseases. scRNA-seq database derived from numerous human studies. Provides researchers with encyclopedia of biomarkers at level of genes, cells, and diseases.
Proper citation: SC2diseases (RRID:SCR_019093) Copy
https://github.com/auranic/ClinTrajan
Software Python package for analysis of trajectories in clinical datasets.
Proper citation: ClinTrajAn (RRID:SCR_019018) Copy
https://github.com/constantAmateur/SoupX
Software R package for estimation and removal of cell free mRNA contamination in droplet based single cell RNA-seq data.
Proper citation: SoupX (RRID:SCR_019193) Copy
https://rapps.hirnetwork.org/scPancMeta/
Portal for islet research community. Data for eight scRNA-seq datasets are combined to give consensus overview of islet cell type defining genes. Tools are provided for interacting with and comparing novel genesets generated.
Proper citation: scPancMeta App (RRID:SCR_018939) Copy
International initiative led by team of researchers and clinicians and supported by the US Cystic Fibrosis Foundation that seeks to provide complete, advanced and expert reviewed functional and clinical information on CFTR mutations. Provides information for patients, researchers, and general public about specific variants. For each variant or variant combination included in database, website will provide information about whether variant or variant combination is CF-causing, and information about sweat chloride, lung function, pancreatic status, and Pseudomonas infection rate in patients in CFTR2 database with this variant or variant combination.
Proper citation: CFTR2 (RRID:SCR_019078) Copy
Repository for biodiversity data products managed by Department of Planning, Industry and Environment, New South Wales, Australia. It stores species sightings, systematic surveys, threatened biodiversity records and species names.
Proper citation: NSW BioNet (RRID:SCR_019162) Copy
https://github.com/ShaokunAn/D-EE
Software tool for distributed dimensionality reduction and visualization. Distributed software for visualizing intrinsic structure of large scale single cell data written in C language. Its distributed storage and distributed computation technique allows efficiently analyze large scale single cell data at cost of constant time speedup.
Proper citation: D-EE (RRID:SCR_019058) Copy
http://physionet.org/physiobank/
Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.
Proper citation: Physiobank (RRID:SCR_006949) Copy
https://www.axionbiosystems.com/products/software/neural-module
Neural Module by Axion BioSystems Inc, provides simplified approach to set up, execution and analysis of neural experiments. Enables Maestro Pro and Edge to record and analyze key parameters of neural network function, including activity, synchrony, and network oscillations.
Proper citation: Neural Module (RRID:SCR_019270) Copy
http://www.nitrc.org/projects/dcl_model/
Software tool as deep collaborative learning with application to study of multimodal brain development. Uses deep network to represent original data and then seeks their correlations, while also linking data representation with phenotypical information.
Proper citation: Deep Collaborative Learning (RRID:SCR_019258) 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.