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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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ErmineJ Resource Report Resource Website 50+ mentions |
ErmineJ (RRID:SCR_006450) | ermineJ | data analysis software, data processing software, software application, software resource | Data analysis software for gene sets in expression microarray data or other genome-wide data that results in rankings of genes. A typical goal is to determine whether particular biological pathways are doing something interesting in the data. The software is designed to be used by biologists with little or no informatics background. A command-line interface is available for users who wish to script the use of ermineJ. Major features include: * Implementation of multiple methods for gene set analysis: ** Over-representation analysis ** A resampling-based method that uses gene scores ** A rank-based method that uses gene scores ** A resampling-based method that uses correlation between gene expression profiles (a type of cluster-enrichment analysis). * Gene sets receive statistical scores (p-values), and multiple test correction is supported. * Support of the Gene Ontology terminology; users can choose which aspects to analyze. * User files use simple text formats. * Users can modify gene sets or create new ones. * The results can be visualized within the software. * It is simple to compare multiple analyses of the same data set with different settings. * User-definable hyperlinks are provided to external sites to allow more efficient browsing of the results. * For programmers, there is a command line interface as well as a simple application programming interface that can be used to plug ermineJ functionality into your own code Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | microarray, gene ontology, analysis, high-throughput, gene, gene expression, statistical analysis, term enrichment, genome |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of British Columbia; British Columbia; Canada has parent organization: Columbia University; New York; USA |
PMID:16280084 | Free for academic use | nif-0000-07758 | SCR_006450 | ermineJ: Gene Ontology analysis for high-throughput data | 2026-09-12 12:56:40 | 51 | ||||||
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European Nucleotide Archive (ENA) Resource Report Resource Website 1000+ mentions |
European Nucleotide Archive (ENA) (RRID:SCR_006515) | ENA | data or information resource, data repository, database, service resource, storage service resource | Public archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource. | analysis, bioinformatics, dna, nucleotide, sequencing, web service, rna, molecular biology, nucleotide sequence, protein, gene expression, gene, genome, biochemistry, molecular structure, metabolite, protein binding, chemogenomics, gold standard |
is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: NCBI Sequence Read Archive (SRA) is related to: ENA Sequence Version Archive is related to: VBASE2 is related to: DDBJ Sequence Read Archive is related to: ISA Infrastructure for Managing Experimental Metadata is related to: DNA DataBank of Japan (DDBJ) is related to: DNA DataBank of Japan (DDBJ) is related to: NCBI is related to: INSDC is related to: INSDC is related to: NCBI Assembly Archive Viewer has parent organization: European Bioinformatics Institute is parent organization of: ENA Sequence Search works with: Eutherian comparative genomic analysis protocol |
EMBL ; Wellcome Trust ; European Union |
PMID:20972220 | Public, The community can contribute to this resource, Acknowledgement requested | OMICS_01029, r3d100010527, nif-0000-32981 | http://www.ebi.ac.uk/embl/, https://doi.org/10.17616/R3HW3J | SCR_006515 | ENA, European Nucleotide Archive | 2026-09-12 12:56:41 | 1344 | ||||
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CHAoS Resource Report Resource Website 10+ mentions |
CHAoS (RRID:SCR_005174) | CHAoS | software resource | A Perl-based system for annotation of variants identified in high-throughput sequencing experiments. Functionality includes annotation of variants with information relating to population genetics, known transcripts, positional records, and sequence motif-based prediction. In addition, annotated variants can be summarized and extracted to facilitate downstream analysis. There is also basic support for gene-based biological annotation, and eventually will include tools for variant and genotype analysis and visualization. | annotation, analysis, visualization, variant, high-throughput sequencing, perl, population genetic, transcript, positional record, sequence, motif, genotype |
is listed by: OMICtools has parent organization: Wellcome Trust Centre for Human Genetics |
GNU General Public License, v2 | OMICS_00170 | SCR_005174 | chaos - Annotation analysis and visualization of variants from high-throughput sequencing experiments | 2026-09-12 12:56:22 | 29 | |||||||
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HIVCD Resource Report Resource Website |
HIVCD (RRID:SCR_005201) | HIVCD | software resource | Informatics software tool to identify patient sequences that are too similar to happen by chance alone. Highly similar sequences are likely to occur from contamination or other situations like geographic linkage. | java, perl, contamination, sequencing, error, pairwise comparison, testing, analysis, contamination screening |
is listed by: OMICtools has parent organization: SourceForge |
PMID:23583427 | Apache License, v2 | OMICS_00220 | SCR_005201 | HIVCD - Informatics tool for contamination screening in the HIV sequencing lab, HIV Contamination Detection | 2026-09-12 12:56:22 | 0 | ||||||
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Neuromorphometrics Resource Report Resource Website 100+ mentions |
Neuromorphometrics (RRID:SCR_005656) | Neuromorphometrics Inc. | data or information resource, organization portal, portal, service resource, software resource, web application | Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas. | brain, human, modeling, measurement, quantitative, volume, shape, location, neuroanatomical, structure, MRI, scan, analysis, database, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: BrainColor: Collaborative Open Labeling Online Resource is related to: 2012 MICCAI Multi-Atlas Labeling Challenge Data is parent organization of: NVM is parent organization of: Manually Labeled MRI Brain Scan Database is parent organization of: MRI Neuroanatomy Labeling Services |
NIMH R43 MH084358 | Free Demo available for download, Commercially available, Discount for academic use available | SCR_014141, nlx_149079 | http://www.nitrc.org/projects/brain_labeling | SCR_005656 | MRI Brain Anatomy Labeling Services, Quantitative Measurements in MR Brain Images | 2026-09-12 12:56:29 | 428 | |||||
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Onto-Express Resource Report Resource Website 50+ mentions |
Onto-Express (RRID:SCR_005670) | OE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independently of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function and chromosome location. Statistical significance values are calculated for each category. We demonstrated the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer data sets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms (Draghici et.al, Genomics, 81(2), 2003). Other results obtained with Onto-Express can be found in Khatri et.al., Genomics. 79(2), 2002. Custom level of abstraction of the Gene Ontology. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, biochemical function, biological process, cellular role, cellular component, molecular function, chromosome location, java, data-mining, browser, visualization, analysis, statistical analysis, term enrichment, search engine, other analysis, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, custom level of abstraction of the gene ontology, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
Wayne State University School of Medicine; Michigan; USA ; NICHD HD36512 |
PMID:12620386 PMID:11829497 PMID:15215428 |
Free for academic use | nlx_149110 | http://vortex.cs.wayne.edu:8080 | SCR_005670 | Onto-Express (OE) | 2026-09-12 12:56:29 | 85 | ||||
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LookSeq Resource Report Resource Website 1+ mentions |
LookSeq (RRID:SCR_005625) | LookSeq | software resource | A web-based application for alignment visualization, browsing and analysis of genome sequence data. | alignment, visualization, browsing, analysis, genome, sequence |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
OMICS_00886 | SCR_005625 | 2026-09-12 12:56:29 | 5 | |||||||||
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THEA - Tools for High-throughput Experiments Analysis Resource Report Resource Website |
THEA - Tools for High-throughput Experiments Analysis (RRID:SCR_005802) | THEA | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, on documented July 16, 2012. An integrated information processing system dedicated to the analysis of post-genomic data. It allows automatic annotation of data issued from classification systems with selected biological information (including the Gene Ontology). Users can either manually search and browse through these annotations, or automatically generate meaningful generalizations according to statistical criteria (data mining). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | high-throughput, analysis, ontology, microarray, genomic, annotation, gene ontology, data mining, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Virtual Biology Lab |
French Ministry of Higher Education and Research ; Bioinformatic Program |
PMID:15130932 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149290 | SCR_005802 | Tools for High-throughput Experiments Analysis | 2026-09-12 12:56:31 | 0 | |||||
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CLIPZ Resource Report Resource Website 10+ mentions |
CLIPZ (RRID:SCR_005755) | CLIPZ | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 20,2019.Database and analysis environment for experimentally determined binding sites of RNA-binding proteins. It supports the automatic functional annotation of short reads resulting primarily from crosslinking and immunoprecipitation experiments (CLIP) performed with RNA-binding proteins in order to identify the binding sites of these proteins. The functional annotation could be also applied to short reads resulting from other types of experiments such as mRNA-Seq, Digital Gene Expression, small RNA cloning, etc. The platform enables visualization and mining of individual data sets as well as analysis involving multiple experimental data sets. The platform can support collaborative projects involving multiple users and groups of users as well as public and private datasets. | rna-binding protein, binding site, protein, functional annotation, cross-linking and immunoprecipitation, short read, mrna-seq, digital gene expression, small rna cloning, visualization, mining, analysis, post-transcriptional regulatory element, genome, transcript, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: University of Basel; Basel; Switzerland |
PMID:21087992 | THIS RESOURCE IS NO LONGER IN SERVICE. | OMICS_02256, biotools:clipz | https://bio.tools/clipz | SCR_005755 | 2026-09-12 12:56:31 | 20 | ||||||
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Max Planck Institute for Biological Intelligence Circuits - Computation – Models Resource Report Resource Website |
Max Planck Institute for Biological Intelligence Circuits - Computation – Models (RRID:SCR_008048) | data or information resource, department portal, organization portal, portal | Merger of the Max Planck Institute of Neurobiology and the Max Planck Institute of Ornithology and has been renamed to Circuits - Computation – Models. Department devoted to the study of how the brain computes to understand neural information processing at the level of individual neurons and small neural circuits. | drosophila melanogaster, experimental, expression, flight control, fly, fruitfly, genetic, activity in collaboration with winfried denk (mpi for medical research, analysis, animal, blow fly, brightness, cappiphora vicina, computed, heidelberg), indicator, intracellular, medulla, membrane, motion, natural, nervous, network, neural optic flow, neuron, pharmacology, property, retinal, specie, technique, the knowledge about the fly motion vision system goes into the development of miniature airborne vehicles (internrobofly). t, theoretical, this resource also try to fully reconstruct important parts of the optic lobes of both species at the ultrastructural level using his recently developed serial block face scanning electron microscope (internbluefly). biophysically realistic compartmental models of individual neurons obtained from 2p-image stacks allow us to reconstitute the network of motion processing neurons in computer simulations (internmodelfly). as a joint project with martin bussand kolja kuehnlenz, tissue, vector, visual system, image |
has parent organization: Max-Planck-Gesellschaft has parent organization: Max Planck Institute for Biological Intelligence |
nif-0000-10288 | http://www.neuro.mpg.de/borst, http://www.neuro.mpg.de/english/rd/scn/research/Theory_and_modeling_of_motion_vision/Compartmental_Modeling/Tanbase_-_Download/index.html | SCR_008048 | , Max Planck Institute of Neurobiology Systems and Computational Neurobiology, Circuits - Computation – Models, MPI S&C Neurobiology | 2026-09-12 12:56:59 | 0 | ||||||||
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Interagency Modeling and Analysis Group and Multi-scale Modeling Consortium Wiki Resource Report Resource Website 10+ mentions |
Interagency Modeling and Analysis Group and Multi-scale Modeling Consortium Wiki (RRID:SCR_008046) | IMAG | group | Special interest group that brings together program officers who have a shared interest in applying modeling and analysis methods to biomedical systems. The meetings are formatted to facilitate an open discussion of what is currently being supported, and for planning future directions in these areas. At each meeting, time is allotted to hear focused presentations from one or two participants to discuss issues relating to modeling and analysis across the government agencies. Discussions also occur online, and participants are informed of talks, conferences and other activities of interest to the group. IMAG recognized that the modeling community is on the forefront of thinking across the biological continuum, rather than just focusing at one scale or level of resolution. In addition IMAG identified a strong desire among modelers to form multi-disciplinary partnerships across varied research communities. Overall Intent of IMAG through the MSM Consortium is: * To develop new methodologies that span across biological scales * To develop multiscale methodologies applicable to biomedical, biological and behavioral research * To develop methodologies within the local multidisciplinary team and within the larger Framework environment * To further promote multiscale modeling through model sharing This wiki contains information relevant to the IMAG (Interagency Modeling and Analysis Group) and the MSM (Multi-scale Modeling Consortium). | environment, analysis, behavioral, biological, biomedical, continuum, modeling, research, scale, system |
is listed by: 3DVC has parent organization: National Institute of Biomedical Imaging and Bioengineering |
NIBIB ; NIH Blueprint for Neuroscience Research |
nif-0000-10261 | SCR_008046 | IMAG wiki, MSM wiki | 2026-09-12 12:56:59 | 15 | |||||||
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Harvard Medical School, Department of Systems Biology: The Megason Lab -GoFigure Software Resource Report Resource Website 1+ mentions |
Harvard Medical School, Department of Systems Biology: The Megason Lab -GoFigure Software (RRID:SCR_008037) | data or information resource, data processing software, data visualization software, portal, software application, software resource, topical portal | GoFigure is a software platform for quantitating complex 4d in vivo microscopy based data in high-throughput at the level of the cell. A prime goal of GoFigure is the automatic segmentation of nuclei and cell membranes and in temporally tracking them across cell migration and division to create cell lineages. GoFigure v2.0 is a major new release of our software package for quantitative analysis of image data. The research focuses on analyzing cells in intact, whole zebrafish embryos using 4d (xyzt) imaging which tends to make automatic segmentation more difficult than with 2d or 2d+time imaging of cells in culture. This resource has developed an automatic segmentation pipeline that includes ICA based channel unmixing, membrane nuclear channel subtraction, Gaussian correlation, shape models, and level set based variational active contours. GoFigure was designed to meet the challenging requirements of in toto imaging. In toto imaging is a technology that we are developing in which we seek to track all the cell movements and divisions that form structures during embryonic development of zebrafish and to quantitate protein expression and localization on top of this digital lineage. For in toto imaging, GoFigure uses zebrafish embryos in which the nuclei and cell membranes have been marked with 2 different color fluorescent proteins to allow cells to be segmented and tracked. A transgenic line in a third color can be used to mark protein expression and localization using a genetic approach that this resource developed called FlipTraps or using traditional transgenic approaches. Embryos are imaged using confocal or 2-photon microscopy to capture high-resolution xyzt image sets used for cell tracking. The GoFigure GUI will provide many tools for visualization and analysis of bioimages. Since fully automatic segmentation of cells is never perfect, GoFigure will provide easy to use tools for semi-automatically and manually adding, deleting, and editing traces in 2d (figures-xy, xz, or yz), 3d (meshes- xyz), 4d (tracks- xyzt) and 4d+cell division (lineages). GoFigure will also provide a number of views into complex image data sets including 3d XYZ and XYT image views, tabular list views of traces, histograms, and scattergrams. Importantly, all these views will be linked together to allow the user to explore their data from multiple angles. Data will be easily sorted and color-coded in many ways to explore correlations in higher dimensional data. The GoFigure architecture is designed to allow additional segmentation, visualization, and analysis filters to be plugged in. Sponsors: GoFigure is developed by Harvard University., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | embryo, expression, fluorescent, gaussian, genetic, 2d, 2-photon, 4d, analysis, bioimage, cell, cell membrane, cell movement, channel, confocal, contour, culture, data, dimensional, high-resolution, histogram, in vivo, localization, microscopy, model, nuclear, nucleus, protein, scattergram, segmentation, shape, software, technology, toto imaging, tracking, transgenic, visualization, zebrafish, image | has parent organization: Harvard University; Cambridge; United States | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10243 | SCR_008037 | GoFigure | 2026-09-12 12:56:59 | 5 | ||||||||
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Protein Databank Fun Resource Report Resource Website 1+ mentions |
Protein Databank Fun (RRID:SCR_008226) | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. PDBfun is a web server for structural and functional analysis of proteins at the residue level. pdbFun gives fast access to the whole Protein Data Bank (PDB) organized as a database of annotated residues. The available data (features) range from solvent exposure to ligand binding ability, location in a protein cavity, secondary structure, residue type, sequence functional pattern, protein domain and catalytic activity. PDBfun is an integrated web tool for querying the PDB at the residue level and for local structural comparison. It integrates knowledge on single residues in protein structures coming from other databases or calculated with available or in-house developed instruments for structural analysis. Each set of different annotations represents a feature. Features are listed in PDBfun main page in orange. Features can be used for building residues selections. | functional, 2d, ability, activity, analysis, binding, catalytic, cavity, chain, cleft, domain, ligand, location, motif, protein, protein structure databases, residue, secondary, sequence, size, solvent, structural, structure, surface | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21315 | SCR_008226 | PDBfun | 2026-09-12 12:57:01 | 2 | |||||||||
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ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis Resource Report Resource Website |
ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis (RRID:SCR_008312) | ConnectomeViewer | d visualization software, data analysis software, data processing software, data visualization software, network analysis software, network graph visualization software, rendering software, software application, software resource | Extensible, scriptable, pythonic software tool for visualization and analysis in structural neuroimaging research on many spatial scales. Employing the Connectome File Format, diverse data such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The field of Connectomics research benefits from recent advances in structural neuroimaging technologies on all spatial scales. The need for software tools to visualize and analyze the emerging data is urgent. The ConnectomeViewer application was developed to meet the needs of basic and clinical neuroscientists, as well as complex network scientists, providing an integrative, extensible platform to visualize and analyze Connectomics data. With the Connectome File Format, interlinking different datatypes such as hierarchical networks, surface data, volumetric data is easy and might provide new ways of analyzing and interacting with data. Furthermore, ConnectomeViewer readily integrates with: * ConnectomeWiki: a semantic knowledge base representing connectomics data at a mesoscale level across various species, allowing easy access to relevant literature and databases. * ConnectomeDatabase: a repository to store and disseminate Connectome files. | extensible, analysis, clinical, data, diverse, metadata, network, neuroscience, neuroscientist, pythonics, research, scriptable, software, structural, surface, technology, tool, track, visualization, volume, neuroimaging |
has parent organization: Ecole Polytechnique Federale de Lausanne; Lausanne; Switzerland has parent organization: University of Lausanne; Lausanne; Switzerland |
nif-0000-24442 | SCR_008312 | 2026-09-12 12:57:02 | 0 | |||||||||
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GeneCluster 2: An Advanced Toolset for Bioarray Analysis Resource Report Resource Website 10+ mentions |
GeneCluster 2: An Advanced Toolset for Bioarray Analysis (RRID:SCR_008446) | data analysis software, data processing software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding supervised classification, gene selection, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting (WV) and k-nearest neighbor (KNN) algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. It enhances the clustering capabilities of GeneCluster 1.0 by adding a module for batch SOM clustering, and also includes a marker gene finder based on a KNN analysis and a visualization module. GeneCluster 2.0 is a stand-alone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater. | gene, cluster, software, analysis, expression, bioarray, data, class, predictor, visualization, marker, classification, algorithm, module, java, environment | has parent organization: Broad Institute | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30293 | SCR_008446 | GeneCluster 2 | 2026-09-12 12:57:04 | 39 | ||||||||
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Berkeley Drosophila Transcription Network Project Resource Report Resource Website 10+ mentions |
Berkeley Drosophila Transcription Network Project (RRID:SCR_008640) | data or information resource, portal, topical portal | The goal of this project is to decipher the transcriptional information contained in the extensive cis-acting DNA sequences that direct the patterns of gene expression that underlie animal development. Using the early embryo of the fruitfly Drosophila melanogaster as a model, these researchers are developing experimental and computational methods to systematically characterize and dissect the complex expression patterns and regulatory interactions already present prior to gastrulation. They have identified 37 principal regulatory factors within this network for initial analysis together with their target genes. Sponsors: This project is chiefly funded by a grant from NIGMS and NHGRI, R01 GM070444. Additional funding comes from grants to Michael Eisen, Sue Celniker, and Bernd Hamann. | embryo, experimental, expression, gastrulation, gene, analysis, animal, cis-acting, computational, development, dna, information, interaction, regulatory, target, transcriptional | has parent organization: Lawrence Berkeley National Laboratory | nif-0000-32986 | SCR_008640 | BDTNP | 2026-09-12 12:57:06 | 11 | |||||||||
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BRAID Resource Report Resource Website 10+ mentions |
BRAID (RRID:SCR_008702) | BRAID | data or information resource, database, image, software resource, source code | Large-scale archive of normalized digital spatial and functional data with an analytical query mechanism. One of its many applications is the elucidation of brain structure-function relationships. BRAID stores spatially defined data from digital brain images which have been mapped into normalized Cartesian coordinates, allowing image data from large populations of patients to be combined and compared. The database also contains neurological data from each patient and a query mechanism that can perform statistical structure-function correlations. The project is developing database technology for the manipulation and analysis of 3-dimensional brain images derived from MRI, PET, CT, etc. BRAID is based on the PostgreSQL server, an object/relational DBMS, which allows a standard relational DBMS to be augmented with application-specific datatypes and operators. The BRAID project is adding operations and datatypes to support querying, manipulation and analysis of 3D medical images, including: * Image Datatypes: BRAID supports a family of 3D image datatypes, each having an abstract type and an implementation type. Abstract types include boolean (for regions of interest), integer, float, vector (for representing morphological changes), tensor (for representing derivatives and standard deviations of vector images) and color. Implementation types at present include line-segment format and voxel array. * Image Operators: BRAID supports addition of images, multiplication (which is interpreted as intersection for boolean images), coercion of an image''s abstract or implementation type to another value, and determination of volumes of regions of interest. * Statistical Operators: A chi-squared test has been added to SQL as an aggregate operator on pairs of boolean values. * Web Interface: A general-purpose Web gateway allows the results of queries that return computed images to be displayed. You can download the BRAID source code 2.0. This version is developed under postgreSQL 7.3.4., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | brain image, data mining, brain, magnetic resonance, analysis, image display, mri, pet, ct, structure, function, brain | has parent organization: University of Pennsylvania; Philadelphia; USA | Aging | NIA R01 AG13743 | PMID:18467275 PMID:11191696 PMID:9874539 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143545, r3d100010227 | https://doi.org/10.17616/R3F88M | SCR_008702 | BRAID: Brain Image Database, Brain Image Database | 2026-09-12 12:57:08 | 11 | |||
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Jackal Resource Report Resource Website 10+ mentions |
Jackal (RRID:SCR_008665) | software resource | Jackal is a collection of programs designed for the modeling and analysis of protein structures. Its core program is a versatile homology modeling package. It contains twelve individual programs, each with their own function. | software, software repository, modeling, analysis, protein structure |
has parent organization: Columbia University; New York; USA has parent organization: Howard Hughes Medical Institute |
NSF DBI-9904841; NIGMS 5 R37 GM30518 |
Public, Free | nif-0000-33373 | SCR_008665 | 2026-09-12 12:57:07 | 14 | ||||||||
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Ingenuity Pathway Analysis Resource Report Resource Website 5000+ mentions Rating or validation data |
Ingenuity Pathway Analysis (RRID:SCR_008653) | IPA | pathway analysis tool | A web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest. | software, drug, gene, analysis, chemical, metabolic, model, pathway, protein, signal, molecular signaling, genomic, pathway analysis tool |
uses: Ingenuity Pathways Knowledge Base is listed by: Biositemaps is listed by: OMICtools is listed by: SoftCite |
Commercial license | nif-0000-33144, OMICS_00399 | http://www.ingenuity.com/products/ipa, http://www.ingenuity.com/products/ipa/microrna-research | SCR_008653 | QIAGEN Ingenuity Pathway Analysis | 2026-09-12 12:57:07 | 6828 | ||||||
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Rat Genome Database: Neurological Disease Portal Resource Report Resource Website 10+ mentions |
Rat Genome Database: Neurological Disease Portal (RRID:SCR_008685) | data or information resource, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Portal that provides researchers with easy access to data on rat genes, QTLs, strain models, biological processes and pathways related to neurological diseases. This resource also includes dynamic data analysis tools. | gene, analysis, biological, data, database, disease, genome, model, neurological, neuroscience, pathway, phenotype, qtl, rat, research | has parent organization: Medical College of Wisconsin; Wisconsin; USA | Neurological disease | RGD ; NINDS |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33773 | http://rgd.mcw.edu | SCR_008685 | RGD Neurological Disease Portal | 2026-09-12 12:57:07 | 31 |
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Data set from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings."
