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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | image analysis software, software resource, software application, data visualization software, data processing software | 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 U24 RR021382; NINDS R01 NS052585; NCRR RR014075 |
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 | 2026-08-07 09:25:19 | 12664 | |||||
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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) | database, data or information resource, 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 | 2026-08-07 09:25:16 | 33 | ||||||||
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Atlas3D Resource Report Resource Website 10+ mentions |
Atlas3D (RRID:SCR_001808) | data or information resource, atlas, software resource, software application, data visualization software, data processing software | A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images. | analysis, brain, histological, mouse, rat, slicing, structure, 3d, tomographic, visualization, neuroimaging, image, magnetic resonance, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Oslo; Oslo; Norway |
Research Council of Norway ; NIH ; NIBIB R01-EB00790; NCRR U24-RR021382 |
Free, Freely available | nif-0000-10373 | http://www.nitrc.org/projects/incf_atlas3d | SCR_001808 | Neural Systems and Graphics Computing Laboratory: Atlas3D Software, NeSys Atlas3D | 2026-08-07 09:25:17 | 18 | ||||||
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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) | software resource, software application, rendering software, data analysis software, data visualization software, data processing software | 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 | 2026-08-07 09:25:16 | 0 | ||||||
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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) | material analysis service, production service resource, data computation service, analysis service resource, service resource, biomaterial analysis service | 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 | 2026-08-07 09:25:18 | 0 | |||||||
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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 | data or information resource, production service resource, software resource, data analysis service, software application, source code, database, analysis service resource, service resource, data analysis software, data processing software | 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 | 2026-08-07 09:25:17 | 2472 | |||
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Neural Systems and Graphics Computing Laboratory: Micro3D Software Resource Report Resource Website |
Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) | software resource, software application, data analysis software, data visualization software, data processing software | The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY. | 3-d reconstruction, analysis, axonal plexus, brain, cell body, computerized, contour line, density map, geometric, insect, microscopy, model, monkey, neuronal, object, population, region, serial section, software, specie, visualization, image | PMID:16596747 | Free, Available for download, Freely available | nif-0000-10375 | SCR_001811 | NeSys Micro3D | 2026-08-07 09:25:18 | 0 | ||||||||
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Medical Image Processing and Visualization Resource Report Resource Website 1+ mentions |
Medical Image Processing and Visualization (RRID:SCR_002055) | MeVisLab | image processing software, software toolkit, image analysis software, software resource, software application, data processing software | Modular framework for the development of image processing algorithms and visualization and interaction methods, with a special focus on medical imaging. It includes advanced medical imaging modules for segmentation, registration, volumetry, and quantitative morphological and functional analysis. The platform allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments. In MeVisLab, individual image processing, visualization and interaction modules can be combined to complex image processing networks using a graphical programming approach. The algorithms can easily be integrated using a modular, platform-independent C++ class library. An abstract, hierarchical definition language allows the design of efficient graphical user interfaces, hiding the complexity of the underlying module network to the end user. JavaScript components can be added to implement dynamic functionality on both the network and the user interface level. MeVisLab is based on the Qt application framework, the OpenInventor 3D visualization toolkit and OpenGL. Several clinical prototypes have been realized on the basis of MeVisLab, including software assistants for neuro-imaging, dynamic image analysis, surgery planning, and vessel analysis. Feature Overview: :- Basic image processing algorithms and advanced medical imaging modules :- Full featured, flexible 2D/3D visualization and interaction tools :- High performance for large datasets :- Modular, expandable C++ image processing library :- Graphical programming of complex, hierarchical module networks :- Object-oriented GUI definition and scripting :- Full scripting functionality using Python and JavaScript :- DICOM support and PACS integration :- Intuitive user interface :- Integrated movie and screenshot generation for demonstration purposes :- Generic integration of the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) :- Cross-platform support for Windows, Linux, and MacOS X :- Available for 64-bit operating systems | algorithm, image processing, visualization, image, segmentation, morphological, functional, analysis, neuroimaging, surgery, python, volume rendering, prototype | is listed by: Biositemaps | PMID:17356215 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00326 | SCR_002055 | MeVisLab: Medical Image Processing and Visualization | 2026-08-07 09:25:22 | 3 | ||||||
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NormaCurve Resource Report Resource Website 1+ mentions |
NormaCurve (RRID:SCR_001995) | software resource, software application, data analysis software, data processing software | Analysis methodology that allows simultaneous quantification and normalization of reverse phase protein array (RPPA) data. | analysis, software, code, protein array, RPPA, reverse phase protein array, supplementary material |
is listed by: OMICtools has parent organization: Curie Institute; Paris; France |
PMID:22761696 | Free, Available for download, Freely available | OMICS_00814 | SCR_001995 | 2026-08-07 09:25:21 | 9 | ||||||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | image processing software, image analysis software, software resource, software application, data processing software | Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more. | fmri, neuroimaging, brain, functional, statistical, volume, preprocessing, analysis, display, format conversion, linear, three dimensional display, workflow, lesion, analyze, c++, console (text based), dicom, image display, linux, macos, microsoft, magnetic resonance, nifti, no input/output (daemon), overlap metrics, posix/unix-like, quantification, regression, resampling, sinc function interpolation, spatial transformation, statistical operation, visualization, windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian has parent organization: neurodebian |
NIDA R01DA014418; NIMH R01MH073529 |
PMID:22348882 | Free, Available for download, Freely available | nif-0000-00353 | https://sources.debian.org/src/voxbo/, https://github.com/kimberg/voxbo | http://www.voxbo.org/ | SCR_002166 | 2026-08-07 09:25:22 | 13 | ||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data or information resource, data acquisition software, software resource, software application, database, data analysis software, data visualization software, data processing software | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-08-07 09:26:38 | 1 | ||||||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | data or information resource, short course material, narrative resource, software resource, software application, topical portal, database, training material, data analysis software, portal, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-08-07 09:26:43 | 887 | |||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | software resource, software application, data analysis software, data processing software | Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible | gene, genetic, analysis, annotation, archive, bioinformatic, cancer, genome, genomic, genotype, genotyping, human, human genome databases, maps, polymorphism, position, variation, data set |
is listed by: 3DVC has parent organization: National Cancer Institute |
nif-0000-21173 | SCR_008183 | GeneWindow | 2026-08-07 09:26:44 | 1 | |||||||||
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Hardy-Weinberg Equilibrium Calculator Resource Report Resource Website 100+ mentions |
Hardy-Weinberg Equilibrium Calculator (RRID:SCR_008371) | software resource, software application, simulation software | This portal leads to the Chi-sq Hardy-Weinberg equilibrium test calculator for biallelic markers (SNPs, indels etc), including analysis for ascertainment bias for dominant/recessive models (due to biological or technical causes.) The purpose of this web program is for estimating possible missingness and an approach to evaluating missingness under different genetic models. Mendelian randomization (MR) permits causal inference between exposures and a disease. It can be compared with randomized controlled trials. Whereas in a randomized controlled trial the randomization occurs at entry into the trial, in MR the randomization occurs during gamete formation and conception. Several factors, including time since conception and sampling variation, are relevant to the interpretation of an MR test. Particularly important is consideration of the missingness of genotypes that can be originated by chance, genotyping errors, or clinical ascertainment. Testing for Hardy-Weinberg equilibrium (HWE) is a genetic approach that permits evaluation of missingness. Through this tool, the authors demonstrate evidence of nonconformity with HWE in real data. They also perform simulations to characterize the sensitivity of HWE tests to missingness. Unresolved missingness could lead to a false rejection of causality in an MR investigation of trait-disease association. These results indicate that large-scale studies, very high quality genotyping data, and detailed knowledge of the life-course genetics of the alleles/genotypes studied will largely mitigate this risk. Sponsors: This resource is supported by an Intermediate Fellowship (grant FS/05/065/19497) from the British Heart Foundation. | gamete, genetic, allele, analysis, biallelic, biological, caluclator, conception, disease, dominant, genotype, hardy-weinberg equilibrium, marker, mendelian, model, randomization, recessive, snp, test, trait | nif-0000-25608 | SCR_008371 | HWE Calculator | 2026-08-07 09:26:43 | 103 | ||||||||||
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Emergent Resource Report Resource Website 1+ mentions |
Emergent (RRID:SCR_008500) | Emergent | wiki, data or information resource, narrative resource, software resource, software application, simulation software | emergent is a comprehensive, full-featured neural network simulator that allows for the creation and analysis of complex, sophisticated models of the brain in the world. With an emphasis on qualitative analysis and teaching, it also supports the workflow of professional neural network researchers. Its high level drag-and-drop programming interface, built on top of a scripting language that has full introspective access to all aspects of networks and the software itself, allows one to write programs that seamlessly weave together the training of a network and evolution of its environment without ever typing out a line of code. Networks and all of their state variables are visually inspected in 3d, allowing for a quick visual regression of network dynamics and robot behavior. This same 3d world sports a highly accurate Newtonian physics simulation, allowing you to create rich robotics simulations (for example, a car). As a direct descendant of PDP (1986) and PDP (1999), emergent has been in development for decades. In the most recent versions available strive to distill it down to its essential elements. Those that take the time to learn the best practices will be rewarded with the ability to create and understand the most complicated neural models ever published. | neural, simulator, network, analysis, software, simulation, physics, newtonian |
is related to: PDP++ Software Home Page has parent organization: University of Colorado Boulder; Colorado; USA |
NIMH R01 MH069597-01; NIMH MH47566; DARPA/ONR N00014-05-1-0880; ONR N00014-03-1-0428 |
nif-0000-30515 | SCR_008500 | Emergent Neural Network Simulation System, PDP++ | 2026-08-07 09:26:44 | 4 | |||||||
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Cambridge Neuroscience Department Resource Report Resource Website 1+ mentions |
Cambridge Neuroscience Department (RRID:SCR_008649) | department portal, data or information resource, portal, organization portal | This portal provides information about the neuroscience department at the University of Cambridge. Cambridge has a strong tradition in neuroscience having been host to the first analyses of neural signaling in the 1930s, determined the mechanisms of neuronal firing in the 1950s, and heralded some of the early theoretical approaches to the functions of neural circuitry in the 1960s. Neuroscience continues to grow at Cambridge, with an impressive record of achievement in multidisciplinary research. | education, analysis, circuitry, department, graduate, mechanism, neural, neuron, neuronal, neuroscience, research, signaling, theoretical, undergraduate | has parent organization: University of Cambridge; Cambridge; United Kingdom | nif-0000-33002 | SCR_008649 | Cambridge Neuroscience | 2026-08-07 09:26:46 | 1 | |||||||||
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GMA Resource Report Resource Website |
GMA (RRID:SCR_009212) | GMA | software resource, software application, data analysis software, time-series analysis software, data processing software | Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure. | Granger, meditation, analysis, time, series, level, GMA, model, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools |
NIBIB EB022911 | PMID:31070732 | Free, Available for download, Freely available | nlx_154361, biotools:GMA | https://github.com/chaoning/GMA, https://bio.tools/GMA | http://www.montana.edu/kalinowski/GMA/GMA_Home.htm | SCR_009212 | Granger Mediation Analysis | 2026-08-07 09:26:56 | 0 | |||
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Agile Protein Interactomes DataServer Resource Report Resource Website 10+ mentions |
Agile Protein Interactomes DataServer (RRID:SCR_008871) | APID | data or information resource, production service resource, web service, software resource, data analysis service, data access protocol, database, analysis service resource, service resource | APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier. | protein, protein interaction, interactions, ppi, interactomes, analysis, gene, ontology, functional, environment, data, network, graphic, visualize |
is listed by: Gene Ontology Tools is related to: PSICQUIC Registry is related to: Gene Ontology is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: IntAct is related to: MINT has parent organization: University of Salamanca; Salamanca; Spain |
Spanish Ministerio de Sanidad y Consumo ; Junta de Castilla y Leon |
PMID:27131791 PMID:30715274 |
Free for academic use | r3d100012339, nlx_149321 | https://doi.org/10.17616/R3407P, https://doi.org/10.17616/R3407P | SCR_008871 | Agile Protein Interactomes DataServer, APID, APID Interactomes, Agile Protein Interactomes DataServer (APID), APID (Agile Protein Interactomes DataServer) | 2026-08-07 09:26:49 | 14 | ||||
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Neural Decoding Toolbox Resource Report Resource Website 10+ mentions |
Neural Decoding Toolbox (RRID:SCR_009012) | NDT | software toolkit, software resource, software application, data analysis software, data processing software | Matlab toolbox that makes it easy to apply decoding analyses to neural data. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and examples are given on how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations. | population decoding, neuron, analysis, matlab, data analysis, machine learning, multivariate pattern analysis, neural decoding | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | DARPA ; IPTO ; DSO ; AFSOR-THRL ; Adobe Systems ; Honda Research Institute USA ; King Abdullah University of Science and Technology ; NEU ; Sony ; Eugene McDermott Foundation ; NSF 0640097; NSF 0827427; NSF FA8650-05-C-7262 |
PMID:23734125 | Acknowledgement requested, Account required | nlx_152729 | SCR_009012 | 2026-08-07 09:26:51 | 19 | ||||||
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JCB DataViewer Resource Report Resource Website 10+ mentions |
JCB DataViewer (RRID:SCR_002633) | JCB DataViewer | data or information resource, database, service resource, storage service resource, data repository, image repository | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A web-based, multi-dimensional image data-viewing application for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the scores from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard. Image data are archived by the Journal and may be freely accessed by readers using the JCB DataViewer. Download of author-provided image data and associated metadata in OME-TIFF format is also possible with author permission, allowing for independent analysis of image data irrespective of acquisition or viewing software. Although the JCB DataViewer is designed to host and facilitate sharing and analysis of original microscopy image data, authors may also upload other types of original image data as supplements to their manuscripts, including histology and electron micrographs and digital scans of gels or blots. | microscopy, standardization, data sharing, archiving, data management, metadata standard, visualization, analysis, image collection, histology, electron micrograph, digital scan, gel, blot |
is listed by: FORCE11 is listed by: SoftCite is related to: OME-TIFF Format has parent organization: Rockefeller University; New York; USA |
Glencoe Software ; OME - Open Microscopy Environment |
PMID:22869591 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156057, r3d100010895 | https://doi.org/10.17616/R3PW4G | SCR_002633 | 2026-08-07 09:25:28 | 14 |
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