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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | analysis service resource, data analysis service, data or information resource, data set, database, laboratory portal, organization portal, portal, production service resource, service resource, software resource | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | Honig Laboratory | 2026-09-12 12:55:57 | 0 | ||||||||
|
deCODE genetics Resource Report Resource Website 50+ mentions |
deCODE genetics (RRID:SCR_003334) | deCODE | commercial organization | A biopharmaceutical company applying its discoveries in human genetics to develop drugs and diagnostics for common diseases. They specialize in gene discovery - their population approach and resources have enabled them to isolate key genes contributing to major public health challenges from cardiovascular disease to cancer. The company's genotyping capacity is now one of the highest in the world. They have a large population-based biobank containing whole blood and DNA samples with extensive relevant phenotypic information from around 120.000 Icelanders. In the company's work in more than 50 disease projects, their statistical and informatics departments have established themselves in data processing and analysis. deCODE genetics is widely recognized as a center of excellence in genetic research. | biopharmaceutical, genetics, drug, diagnostic, genotyping, phenotype, data processing, analysis, genetic variant, risk factor, genome, blood, dna, biobank, single nucleotide polymorphism |
is related to: EU-AIMS is related to: NEWMEDS |
Schizophrenia, Cardiovascular disease, Cancer, Type 2 diabetes, Atrial fibrillation, Heart attack | Free, Freely available | nif-0000-31959, ISNI: 0000 0004 0618 6889, grid.421812.c, Wikidata: Q493712 | https://ror.org/04dzdm737 | SCR_003334 | Islensk Erfdagreining EHF, Islensk Erfdagreining | 2026-09-12 12:55:56 | 67 | |||||
|
Bpipe Resource Report Resource Website 10+ mentions |
Bpipe (RRID:SCR_003471) | Bpipe | software resource | Software tool for running and managing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, it is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments. | genetics, dna, analysis, cluster, workflow, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
PMID:22500002 | Free, Available for download, Freely available | biotools:bpipe, OMICS_02301 | https://github.com/ssadedin/bpipe | SCR_003471 | bpipe - A tool for running and managing bioinformatics pipelines | 2026-09-12 12:55:58 | 13 | |||||
|
L-Measure Resource Report Resource Website 10+ mentions |
L-Measure (RRID:SCR_003487) | LM | data processing software, image analysis software, image processing software, service resource, software application, software resource | A freely available software tool available for the Windows and Linux platform, as well as the Online version Applet, for the analysis, comparison and search of digital reconstructions of neuronal morphologies. For the quantitative characterization of neuronal morphology, LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions, including: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of 20 neurons. The tool is available for either online use on any Java-enabled browser and platform or may be downloaded for local execution under Windows and Linux. | neuronal morphology, neuroinformatics, branching analysis, digital reconstruction, analysis, comparison, bio.tools |
is listed by: 3DVC is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools has parent organization: Computational Neuroanatomy Group |
Human Brain Project ; NINDS R01 NS39600 |
PMID:18451794 | Public | nif-0000-00003, biotools:l-measure | http://www.nitrc.org/projects/lmeasure, https://bio.tools/l-measure | SCR_003487 | 2026-09-12 12:55:59 | 30 | |||||
|
MINC Brain Imaging Toolbox Resource Report Resource Website |
MINC Brain Imaging Toolbox (RRID:SCR_003519) | data processing software, image analysis software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023.Comprised of a large array of sophisticated programs, this comprehensive software package with tools based around the MINC file format. Utilities are provided for conversion, viewing, editing, registering, segmentation, and a wide array of analysis. Many programs are in Perl. MINC software tools for neurological imaging are free. Input format: Analyze, DICOM, Minc | mri, neuroimaging, pet, registration, segmentation, analysis, neurological imaging | has parent organization: McGill University; Montreal; Canada | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_10430 | http://www.idoimaging.com/cgi-sys/cgiwrap/acrabb/imaging/program.pl?ident=280 | SCR_003519 | 2026-09-12 12:55:59 | 0 | ||||||||
|
nSolver Analysis Software Resource Report Resource Website 100+ mentions |
nSolver Analysis Software (RRID:SCR_003420) | nSolver Analysis Software | data processing software, software application, software resource | Data analysis software program that offers nCounter users the ability to QC, normalize, and analyze data without having to purchase additional software packages. | normalization, analysis, ncounter, os x, windows, quality control | is listed by: OMICtools | Restricted | OMICS_02309 | https://nanostring.app.box.com/v/nSolver-AdvancedAnalysis, https://nanostring.com/products/ncounter-analysis-system/ncounter-analysis-solutions/nsolver-data-analysis-support/ | SCR_003420 | 2026-09-12 12:55:58 | 405 | |||||||
|
miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, production service resource, service resource, storage service resource | miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables. | analysis, analyze, bayesian, causation, clinical, linear, medical, structure, temporal, network analysis, network, molecule, information refining, gene expression regulation, bioinformatics, statistical package, interaction network, prediction, pathway, inference, biomedical, intervention |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Society of University Surgeons Foundation ; NIDA U54DA021519; NIAID 1R21AI057875-01; NIGMS K08 GM074678-01A1 |
PMID:17644819 | Free, Freely available | nif-0000-33272 | SCR_003447 | miniTUBA - Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool (miniTUBA), The Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool | 2026-09-12 12:55:58 | 0 | |||||
|
Oxford Nanopore Technologies Resource Report Resource Website 100+ mentions |
Oxford Nanopore Technologies (RRID:SCR_003756) | Oxford Nanopore | commercial organization | Commercial organization developing a disruptive, proprietary technology platform for the direct, electronic analysis of single molecules. The instruments GridION and MinION are adaptable for the analysis of DNA, RNA, proteins, small molecules and other types of molecule. Consequently, the platform has a broad range of potential applications, including scientific research, personalized medicine, crop science and security / defence. | nanopore technology, dna, rna, protein, small molecule, molecule, analysis, nanopore, nanopore sensing |
is related to: READNA is related to: Pychopper |
nlx_158233 | SCR_003756 | Oxford Nanopore Technologies Ltd | 2026-09-12 12:56:02 | 448 | ||||||||
|
Quretec Resource Report Resource Website 1+ mentions |
Quretec (RRID:SCR_003826) | Quretec | commercial organization | Commercial organization that builds software for collection, management, and analysis of complex data, most typical in biomedical domain. The solutions are generic and can be used for multitude of uses and application domains. | data capture, data management, analysis, biomedical | is related to: AgedBrainSYSBIO | Wikidata: Q30291134, grid.436973.c, nlx_158133 | https://ror.org/02ca38p84 | SCR_003826 | Quretec Ltd., Quretec Ltd | 2026-09-12 12:56:03 | 2 | |||||||
|
Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility Resource Report Resource Website |
Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility (RRID:SCR_000882) | access service resource, analysis service resource, core facility, production service resource, service resource | Core to provide gene expression data analysis service. Activities range from the provision of services to fully collaborative grant funded investigations. | affymetrix, array, PCPGM, gene, expression, data, analysis, service |
is listed by: Eagle I has parent organization: Harvard University; Cambridge; United States |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156324 | http://www.partners.org/researchcores/trash/bioinformatics_HPCGG.html | SCR_000882 | PCPGM, bioinformatics, The Partners HealthCare Center for Personalized Genetic Medicine | 2026-09-12 12:55:15 | 0 | |||||||
|
ROSTLAB Resource Report Resource Website 1+ mentions |
ROSTLAB (RRID:SCR_000792) | group | A lab organization which has bases in Munich, Germany and at Columbia University and focuses its research on protein structure and function using sequence and evolutionary information. They utilize machine learning and statistical methods to analyze genetic material and its gene products. Research goals of the lab involve using protein and DNA sequences along with evolutionary information to predict aspects of the proteins relevant to the advance of biomedical research. | protein, structure, function, dna, rna, gene, machine learning, statistics, analysis, protein, biomedical |
has parent organization: Columbia University; New York; USA is parent organization of: PredictNLS is parent organization of: SNPdbe |
NLM LM007329; NLM GM50291 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31417 | http://cubic.bioc.columbia.edu/services/disis | SCR_000792 | Rost Group | 2026-09-12 12:55:15 | 1 | ||||||
|
Macquarie University Labs and Facilities Resource Report Resource Website |
Macquarie University Labs and Facilities (RRID:SCR_000944) | data or information resource, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 23,2023. Set of facilities based out of Macquarie University in New South Wales. Some facilities provide services such as proteome analysis or resources of various academic departments like engineering, biological sciences, and geography. | proteome, analysis, research, university, biological science, engineering, geography |
is listed by: ScienceExchange is related to: MQ Australian Proteome Analysis Facility is related to: MQ Animal Behaviour Laboratory is related to: MQ Ramaciotti Centre for Gene Function Analysis is related to: MQ BioFocus Research Centre is related to: MQ ARC Centre of Excellence for Engineered Quantum Systems is related to: Macquarie University MQ Research Centre in Quantum Science and Technology is related to: MQ Research Centre for Astronomy Astrophysics and Astrophotnics has parent organization: Macquarie University; Sydney; Australia |
THIS RESOURCE IS NO LONGER IN SERVICE | SciEx_9680 | https://www.mq.edu.au/ | SCR_000944 | Macquarie University Labs Facilities | 2026-09-12 12:55:16 | 0 | |||||||
|
PhenoGen Informatics Resource Report Resource Website 10+ mentions |
PhenoGen Informatics (RRID:SCR_001613) | PhenoGen | analysis service resource, application programming interface, data access protocol, data analysis service, data or information resource, data repository, data set, production service resource, service resource, software resource, source code, storage service resource | Website for analyzing microarray data. Software toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for candidate genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct in-silico microarray experiments using their own and/or shared data. There are five major sections of the site: Genome/Transcriptome Data Browser, Microarray Analysis Tools, Gene List Analysis Tools, QTL Tools, and Downloads. The genome/transcriptome data browser combines a genome browser with all the microarray, RNA-Seq, and Genomic Sequencing data. This provides an effective platform to view all of this data side by side. Source code is available on GitHub. | genome, transcription, microarray, gene, quantitative trait loci, analysis, complex trait, genotype, phenotype, high-throughput, rna-seq, snp, genomic marker, region, data sharing, normalize, statistics, gene list, pathway, expression value, expression, correlation, exon, annotation, promoter, homolog, brain, heart, liver, adipose, candidate gene, genetics, transcriptome, eqtl, genome browser, inbred panel |
is related to: MONARCH Initiative has parent organization: University of Colorado Denver; Colorado; USA |
NIAAA R01 AA13162; NIAAA R24 AA013162; NIAAA U01 AA013524 |
PMID:17760997 | Free, Freely available | rid_000093, nlx_153879, r3d100011596 | https://github.com/TabakoffLab/PhenogenCloud, https://doi.org/10.17616/R3WS7F | http://phenogen.ucdenver.edu, http://phenogen.uchsc.edu | SCR_001613 | PhenoGen Informatics - The site for quantitative genetics of the transcriptome. | 2026-09-12 12:55:28 | 22 | |||
|
Farsight Toolkit Resource Report Resource Website 1+ mentions |
Farsight Toolkit (RRID:SCR_001728) | FARSIGHT | data processing software, image analysis software, image processing software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules. | editing, 2d, 3d, algorithm, analysis, bio-format, computational, data, graphical, inspection, metadata, microscopy, morphological, morphology, pixel, processing, segmentation, taxonomy, image | has parent organization: University of Houston; Texas; USA | NIBIB R01-EB005157; NSF EEC-9986821; NIBIB R01EB005157 |
PMID:24808857 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10227 | SCR_001728 | FARSIGHTWiki | 2026-09-12 12:55:30 | 2 | |||||
|
Duke University Medical Center: Duke Image Analysis Laboratory Resource Report Resource Website 10+ mentions |
Duke University Medical Center: Duke Image Analysis Laboratory (RRID:SCR_001716) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Duke Image Analysis Laboratory (DIAL) is committed to providing comprehensive imaging support in research studies and clinical trials to various agencies. The capabilities of the lab include protocol development, site training and certification, and image archival and analysis for a variety of modalities including magnetic resonance imaging, magnetic resonance spectroscopy, computed tomography and nuclear medicine. DIAL uses the latest technologies to analyze Magnetic Resonance Imaging (MRI) data sets of the brain. Currently the lab is engaged in measurement of the hippocampus, amygdala, caudate, ventricular system, and other brain regional volumes. Each of these techniques have undergone a rigorous validation process. The measurements of brain structures provide a useful means of non-invasively testing for changes in the brain of the patient. Changes over time in the brain can be detected, and evaluated with respect to the treatment that the patient is receiving. Magnetic Resonance Spectroscopy (MRS) allows DIAL to obtain an accurate profile of the chemical content of the brain. This sensitive technique can detect small changes in the metabolic state of the brain; changes that vary in response to administration of therapeutic agents. The ability to detect these subtle shifts in brain chemistry allows DIAL to identify changes in the brain with more sensitivity than allowed by image analysis. In this respect, NMR spectroscopy can provide early detection of changes in the brain, and serves to compliment the data obtained from image analysis. Additionally, DIAL also contains SQUID (Scalable Query Utility and Image Database). It is an image management system developed to facilitate image management in research and clinical trials: SQUID offers secure, redundant image storage and organizational functions for sorting and searching digital images for a variety of modalities including MRI, MRS, CAT Scan, X-Ray and Nuclear Medicine. SQUID can access images directly from DUMC scanners. Data can also be loaded via DICOM CDs, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | academic, amygdala, analysis, biotechnology, brain, cat scan, caudate, chemical, clinical, computed, development, digital, hippocampus, imaging, lab, laboratory, magnetic resonance imaging, magnetic resonance spectroscopy, medical, medicine, metabolic, mri, mrs, nmr, nuclear, nuclear medicine, pharmaceutical, research, spectroscopy, structure, technology, therapeutic, tomography, treatment, trial, ventricular, ventricular system, volume, x-ray, FASEB list | has parent organization: Duke University; North Carolina; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10213 | SCR_001716 | DMC DIAL | 2026-09-12 12:55:30 | 33 | ||||||||
|
An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application Resource Report Resource Website |
An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application (RRID:SCR_001646) | data analysis software, data processing software, data visualization software, rendering software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities such as: structure visualization with different rendering and coloring, sequence alignment, and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including: structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions, and protein super-families. Friend is also useful for the functional annotation of proteins, protein modeling, and protein folding studies. Friend provides three levels of usage; 1) an extensive GUI for a scientist with no programming experience, 2) a command line interface for scripting for a scientist with some programming experience, and 3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases. | alignment, analysis, bioinformatics, database, dna, interaction, motif, phylogeny, protein, rna, scientist, sequence, structure, super-family, visualization, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Northeastern University; Massachusetts; USA |
PMID:16076889 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:friend, nif-0000-10149 | https://bio.tools/friend | SCR_001646 | FRIEND | 2026-09-12 12:55:28 | 0 | ||||||
|
Mount Sinai School of Medicine: In-Vivo Molecular Imaging Laboratory Resource Report Resource Website |
Mount Sinai School of Medicine: In-Vivo Molecular Imaging Laboratory (RRID:SCR_001785) | analysis service resource, biomaterial analysis service, data computation service, material analysis service, production service resource, service resource | The In-Vivo Molecular Imaging Laboratory (IMIL) is a MSSM shared resource facility serving the research community of Mount Sinai with equipment and imaging expertise. State-of-the-art bioluminescent as well as fluorescent imaging modalities are supported for in-vivo monitoring of cellular and genetic activity. Investigators are provided with cutting edge imaging technologies as well as analysis techniques. The long-term goal is to establish a comprehensive SRF for in-vivo molecular imaging using micro-MRI, micro-PET and other modalities. IMIL houses a Xenogen IVIS-200 Series imaging system with the integrated fluorescent imaging options. Simultaneous dual reporter in-vivo imaging is possible with bioluminescence and fluorescence probes. The imaging chamber has a gas anesthesia manifold that can accommodate up to 5 mice for simultaneously image acquisition. Selectable field of views allow in-plane (X,Y) imaging resolutions of up to 60-microm. Integrated spectra filters allow for the determination of signal source depth (Z). IMIL will provide data acquisition services as well as analysis. IMIL has a dedicated imaging technologist for data acquisition. Investigators will bring their prepared animal to the lab and an IMIL imaging technologist will assist in sedating the animals and acquire imaging data. Typical imaging sessions last about an hour. Certified users who are trained in the use of the software will be able to perform their own analysis at the console. Usage of the imaging device is charged by the hour ($100/hour). Structural Imaging The IVIS-200 has the built-in capability of obtaining an image of the surface topography of the animal for 2D and 3D localization. If additional true 3D imaging data is required, micro MRI is available through the Imaging Science Laboratories (ISL). Image Analysis The IVIS-200 has an integrated image acquisition and analysis software (Living Image Software 2.50). Comprehensive data quantification is possible with this software. Raw data as well as analyzed results can be electronically transferred to the investigators. Support is also available for additional image analysis such as intermodality coregistration, 3D rendering, and group statistics. Additional software packages include MedX, SPM, Brainvoyager, Analyze, and in-house developed software. | equipment, fluorescence, fluorescent, genetic, 2d, 3d, analysis, bioluminescence, bioluminescent, cellular, imaging, intermodality coregistration, in-vivo, localization, mice, micro-mri, micro-pet, molecular, probe, software, spectra, technology, xenogen ivis-200 series | has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA | Free, Freely available | nif-0000-10299 | http://www.mssm.edu/research/resources/molecular_imaging/ | SCR_001785 | MSSM IMIL | 2026-09-12 12:55:31 | 0 | |||||||
|
MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, database, production service resource, service resource, software application, software resource, source code | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | The MEME Suite | 2026-09-12 12:55:31 | 2472 | |||
|
FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | data processing software, data visualization software, image analysis software, software application, software resource | Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS. | processing, analysis, human, brain, MRI, image, reconstruction, cortical, surface, fMRI, data |
is used by: Wisconsin Cortical Thickness Analysis (CTA) Toolbox is used by: freesurfR is used by: Automatic Analysis is used by: NHP Freesurfer is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian is listed by: SoftCite is related to: PySurfer is related to: RFT FDR is related to: FMRLAB is related to: TRACULA is related to: BASH4RfMRI has parent organization: Harvard University; Cambridge; United States has plug in: JOSA works with: NIAG Addiction Data |
NCRR RR014075; NCRR U24 RR021382; NINDS R01 NS052585 |
PMID:22248573 | Free, Available for download, Freely available | nif-0000-00304 | https://sources.debian.org/src/freesurfer/, http://www.nitrc.org/projects/freesurfer, http://surfer.nmr.mgh.harvard.edu/fswiki/DownloadAndInstall | SCR_001847 | 2026-09-12 12:55:32 | 12664 | |||||
|
ExpressionPlot Resource Report Resource Website 1+ mentions |
ExpressionPlot (RRID:SCR_001904) | expressionplot | software resource | Software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-based front end, which offers a biologically centered interface to browse, visualize, and compare different data sets. | analysis, rna-seq, microarray, gene expression, affymetrix, prototype | is listed by: OMICtools | PMID:21797991 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01939 | SCR_001904 | 2026-09-12 12:55:33 | 9 |
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 Kravitz Resources search. From here you can search through a compilation of resources used by Kravitz and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that Kravitz 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 Kravitz then you can log in from here to get additional features in Kravitz 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:
If you are logged into Kravitz you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
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.
The data sets included in this resource are published in Kravitz et al, 2012. Distinct roles for direct and indirect pathway striatal neurons in reinforcement (Nat. Neurosci).
