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https://www.rdocumentation.org/packages/pheatmap/versions/0.2/topics/pheatmap
Software tool as a function in R to draw clustered heatmaps for better control over graphical parameters.
Proper citation: pheatmap (RRID:SCR_016418) Copy
http://www.nitrc.org/projects/eeglab/
Interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5 and higher under Linux, Unix, Windows, and Mac OS X (Matlab 7+ recommended). EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using independent component analysis (ICA) and/or time/frequency analysis (TFA), as well as standard averaging methods. EEGLAB also incorporates extensive tutorial and help windows, plus a command history function that eases users'' transition from GUI-based data exploration to building and running batch or custom data analysis scripts. EEGLAB offers a wealth of methods for visualizing and modeling event-related brain dynamics, both at the level of individual EEGLAB ''datasets'' and/or across a collection of datasets brought together in an EEGLAB ''studyset.'' For experienced Matlab users, EEGLAB offers a structured programming environment for storing, accessing, measuring, manipulating and visualizing event-related EEG data. For creative research programmers and methods developers, EEGLAB offers an extensible, open-source platform through which they can share new methods with the world research community by publishing EEGLAB ''plug-in'' functions that appear automatically in the EEGLAB menu of users who download them. For example, novel EEGLAB plug-ins might be built and released to ''pick peaks'' in ERP or time/frequency results, or to perform specialized import/export, data visualization, or inverse source modeling of EEG, MEG, and/or ECOG data. EEGLAB Features * Graphic user interface * Multiformat data importing * High-density data scrolling * Defined EEG data structure * Open source plug-in facility * Interactive plotting functions * Semi-automated artifact removal * ICA & time/frequency transforms * Many advanced plug-in toolboxes * Event & channel location handling * Forward/inverse head/source modeling
Proper citation: EEGLAB (RRID:SCR_007292) Copy
Software for automatic general image analysis. It provides fully automatic analysis of 1-D gels including lane creation, background subtraction, band detection, molecular weight calibration, quantity calibration, and normalization. Editing tools are provided for cropping, rotating, and filtering images., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ImageQuant (RRID:SCR_014246) Copy
https://pathcore.bsd.uchicago.edu/Downloads/HTRC_ImageScUG.pdf
Slide image modification software that allows the user to adjust the magnification, compare slides, pan and zoom, annotate specific areas, and perform image analysis of digital slides. Users can create macros and algorithms to automate analysis and create plots, respectively., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ImageScope (RRID:SCR_014311) Copy
http://www.usadellab.org/cms/index.php?page=trimmomatic
Software Java pipeline for trimming tasks for Illumina paired end and single ended data. Flexible Trimmer for Illumina Sequence Data. Pair aware preprocessing tool optimized for Illumina next generation sequencing data. Includes several processing steps for read trimming and filtering. Operating systems Unix/Linux, Mac OS, Windows.
Proper citation: Trimmomatic (RRID:SCR_011848) Copy
Platform for quantitative and qualitative proteomics research for Waters Corporation proteomics systems.
Proper citation: ProteinLynx Global Server (RRID:SCR_016664) Copy
http://www.cb.uu.se/~amin/BlobFinder/
Software that can perform calculations on cells from fluorescence microscopy images. BlobFinder can perform two types of analysis: an average count analysis to count the number of fluorescent signals and nuclei in an image, and a single cell analysis to simulate a cytoplasm and assign each signal to a particular cell.
Proper citation: BlobFinder (RRID:SCR_015788) Copy
https://www.embl-hamburg.de/biosaxs/software.html
Software toolkit for small-angle scattering data analysis from biological macromolecules.
Proper citation: ATSAS (RRID:SCR_015648) Copy
https://www.phenix-online.org/documentation/reference/refinement.html
Software tool for a general purpose crystallographic structure refinement within the PHENIX package. Serves as a critical component in automated model building, final structure refinement, structure validation and deposition to the wwPDB.
Proper citation: Phenix.refine (RRID:SCR_016736) Copy
https://www.indicalab.com/halo/
Software image analysis platform for quantitative tissue analysis in digital pathology by Indica Labs. Used for high-throughput, quantitative tissue analysis in oncology, neuroscience, metabolism, toxicology.
Proper citation: HALO (RRID:SCR_018350) Copy
https://github.com/aldenleung/OMTools
Software package for optical mapping data processing, analysis and visualization. Used to handle and explore large scale optical mapping profiles.
Proper citation: OMTools (RRID:SCR_017143) Copy
http://snf-515788.vm.okeanos.grnet.gr/
Web tool for integrating human and mouse microRNAs in pathways.Pathway analysis web-server, providing statistics, while being able to accommodate advanced pipelines. Web server for assessment of miRNA regulatory roles and identification of controlled pathways. Supports all analyses for KEGG molecular pathways and Gene Ontology (GO) in seven species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Caenorhabditis elegans, Gallus gallus and Danio rerio).DIANA miRPath v.2.0 includes investigating combinatorial effect of microRNAs in pathways.DIANA-miRPath v3.0 includes deciphering microRNA function with experimental support., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: DIANA-mirPath (RRID:SCR_017354) Copy
http://mummer.sourceforge.net/
Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.
Proper citation: MUMmer (RRID:SCR_018171) Copy
https://www.mrc-bsu.cam.ac.uk/software/bugs/the-bugs-project-winbugs/
Software package for Bayesian analysis of complex statistical models using Markov chain Monte Carlo methods.
Proper citation: WinBUGS (RRID:SCR_018516) Copy
http://www-stat.stanford.edu/~tibs/SAM/
Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.
Proper citation: SAM (RRID:SCR_010951) Copy
http://bioinformatics.vub.ac.be/databases/databases.html
Downloadable data set designed to assess the performance of both multiple and pairwise (protein) sequence alignment algorithms, and is extremely easy to use. Currently, the database contains 2 sets, each consisting of a number of subsets with related sequences. It''s main features are: * Covers the entire known fold space (SCOP classification), with subsets provided by the ASTRAL compendium * All structures have high quality, with 100% resolved residues * Structure alignments have been derived carefully, using both SOFI and CE, and Relaxed Transitive Alignment * At most 25 sequences in each subset to avoid overrepresentation of large folds* Automated running, archiving and scoring of programs through a few Perl scripts The Twilight Zone set is divided into sequence groups that each represent a SCOP fold. All sequences within a group share a pairwise Blast e-value of at least 1, for a theoretical database size of 100 million residues. Sequence similarity is thus very low, between 0-25% identity, and a (traceable) common evolutionary origin cannot be established between most pairs even though their structures are (distantly) similar. This set therefore represents the worst case scenario for sequence alignment, which unfortunately is also the most frequent one, as most related sequences share less than 25% identity. The Superfamilies set consists of groups that each represent a SCOP superfamily, and therefore contain sequences with a (putative) common evolutionary origin. However, they share at most 50% identity, which is still challenging for any sequence alignment algorithm. Frequently, alignments are performed to establish whether or not sequences are related. To benchmark this, a second version of both the Twilight Zone and the Superfamilies set is provided, in which to each alignment problem a number of false positives, i.e. sequences not related to the original set, are added. Database specifications: * Current version: 1.65 (concurrent with PDB, SCOP and ASTRAL) * Twilight Zone set (with false positives): 209 groups, 1740 (3280) sequences, 10667 (44056) related pairs * Superfamilies set (with false positives): 425 groups, 3280 (6526) sequences, 19092 (79095) related pairs
Proper citation: SABmark (RRID:SCR_011817) Copy
http://tcoffee.crg.cat/apps/tcoffee/do:regular
A multiple sequence alignment server which can align Protein, DNA and RNA sequences.
Proper citation: T-Coffee (RRID:SCR_011818) Copy
Efficient protein multiple sequence alignment program, which has demonstrated a statistically significant improvement in accuracy compared to several leading alignment tools.
Proper citation: ProbCons (RRID:SCR_011813) Copy
http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=tblastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome
Tool to search translated nucleotide databases using a protein query.
Proper citation: TBLASTN (RRID:SCR_011822) Copy
http://nhjy.hzau.edu.cn/kech/swxxx/jakj/dianzi/Bioinf6/GeneFinding/GeneFinding2.htm
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 10,2020. Data analysis service for Hidden Markov Model (HMM)-based gene structure prediction (multiple genes, both chains).
Proper citation: FGENESH (RRID:SCR_011928) Copy
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