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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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MarmotGraph Resource Report Resource Website |
MarmotGraph (RRID:SCR_027452) | knowledge graph, software application, software resource | Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs. | Metadata, managing, system, neuroscience, experimental, data, human, brain, graph, database, terminology, ontology | is related to: EBRAINS Knowledge Graph | Free, Freely available, | SCR_027452 | Management Applications for Rich Metadata ObjecTs Graph | 2026-09-19 01:01:11 | 0 | |||||||||
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Brigham and Women’s Hospital NeuroTechnology Studio Core Facility Resource Report Resource Website |
Brigham and Women’s Hospital NeuroTechnology Studio Core Facility (RRID:SCR_027687) | access service resource, core facility, service resource | Offers advanced instrumentation and expert support to advance understanding of brain function and brain disease by providing researchers with access to cutting-edge technologies. Provides access to advanced instrumentation for optical microscopy, genomics, metabolic imaging and other technologies, as well as image analysis software. Provides expert support and training, data quality and interpretation. | ABRF, optical microscopy, genomics, metabolics, imaging, training, data, neuroscience, image analysis, |
is listed by: ABRF CoreMarketplace has parent organization: Harvard Medical School; Massachusetts; USA |
Restricted | ABRF_5659 | https://coremarketplace.org/RRID:SCR_027687/?citation=1 | SCR_027687 | 2026-09-19 01:01:16 | 0 | ||||||||
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Concept Hub Resource Report Resource Website |
Concept Hub (RRID:SCR_013586) | data or information resource, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 18, 2016. A database built up with software and services that maintains multiple versions of terminologies, map sets, and values sets concurrently. HDD Access has superseded Concept Hub. | collaboration, concept, consumer, data, developer, health care, terminology | is related to: HDD Access | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 18, 2016. | SCR_013586 | ConceptHub | 2026-09-19 01:01:14 | 0 | |||||||||
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BIDMC Division of Digital Psychiatry LAMP platform Core Facility Resource Report Resource Website 1+ mentions |
BIDMC Division of Digital Psychiatry LAMP platform Core Facility (RRID:SCR_027767) | access service resource, core facility, data or information resource, service resource | Core collects data to capture and consider the real-time lived experiences of patients. Uses open-source digital platform and mobile app for neuropsychiatric research and clinical care, to monitor, support, and improve brain health by collecting real-time data (like location, activity, heart rate via sensors), conducting digital assessments (surveys, cognitive tests), and delivering interventions (meditation, journaling, psychoeducation) to patients and clinicians. It helps study behavioral patterns, track symptoms, and personalize mental health treatment through features organized around Learn, Assess, Manage, and Prevent. | ABRF, study behavioral patterns, track symptoms, personalize mental health treatment, data, neuropsychiatric research and clinical care management platform, run remote smartphone-based research studies, |
is listed by: ABRF CoreMarketplace has parent organization: Harvard Medical School; Massachusetts; USA |
ABRF_3107 | https://coremarketplace.org/?FacilityID=3107, https://docs.lamp.digital/, https://github.com/BIDMCDigitalPsychiatry/LAMP-platform/ | SCR_027767 | mindLAMP, BIDMC mindLAMP, Beth Israel Deaconess Medical Center mindLAMP | 2026-09-19 01:01:17 | 2 | ||||||||
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MedBlast Resource Report Resource Website 1+ mentions |
MedBlast (RRID:SCR_008202) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs. | gene, article, biological, data, genome, genomic, homolog, literature, medline interfaces, mining, molecular, protein, sequence, specie | National Natural Science Foundation of China 39990600-03; Knowledge Innovation Program of the Chinese Academy of Sciences KSCX2-2-07; Knowledge Innovation Program of the Chinese Academy of Sciences KJCX1-08 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21253 | SCR_008202 | MedBlast | 2026-09-19 12:51:36 | 1 | ||||||||
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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 | 2026-09-19 12:51:34 | 5 | ||||||||
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Affymetrix Power Tools Resource Report Resource Website 10+ mentions |
Affymetrix Power Tools (RRID:SCR_008401) | software resource | Affymetrix Power Tools (APT) are a set of cross-platform command line programs that implement algorithms for analyzing and working with Affymetrix GeneChip arrays. APT programs are intended for power users who prefer programs that can be utilized in scripting environments and are sophisticated enough to handle the complexity of extra features and functionality. APT provides platform for developing and deploying new algorithms without waiting for the GUI implementations. This resource is supported by Affymetrix, Inc. | Affymetrix, Inc., Genomics, Clinical, Study, Bioinformatic, Windows, MacOS, Linux, resource, Data, Normalization, Sequence, Annotation, Gene, Expression, Pattern, Motif, Inference, Toolkit, Model, Fitting, Algorithm |
has parent organization: Affymetrix has parent organization: Affymetrix |
nif-0000-30070 | https://www.affymetrix.com/support/developer/powertools/changelog/install.html, https://media.affymetrix.com/support/developer/powertools/changelog/index.html | http://www.affymetrix.com/partners_programs/programs/developer/tools/powertools.affx | SCR_008401 | APT | 2026-09-19 12:51:39 | 32 | |||||||
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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 | 2026-09-19 12:51:38 | 0 | |||||||||
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Australian ResearCH Enabling enviRonment Resource Report Resource Website 10+ mentions |
Australian ResearCH Enabling enviRonment (RRID:SCR_008390) | ARCHER | software resource | The ARCHER project is built upon the prototype software developed by the DART (http://dart.edu.au) and ARROW (http://arrow.edu.au) projects to produce a robust set of software tools. These tools: - may be customised to suit the needs of diverse research areas - automate the collection and management of instrument generated data - enable the repository storage of research data and associated metadata - enable collection and tagging of research data in a collaborative environment, and - provide these capabilities in a secure end-to-end proces. :ARCHER developed a ''production-ready'' software tools, operating in a secure environment, to assist researchers to: - collect, capture and retain large data sets from a range of different sources including scientific instruments - deposit data files and data sets to eResearch storage repositories - populate these eResearch data repositories with associated metadata - permit data set annotation and discussion in a collaborative environment, and - support next-generation methods for research publication, dissemination and access. | research, prototype, software, software, tool, diverse, repository, data, metadata, environment, scientific, instrument, annotation |
has parent organization: Monash University; Melbourne; Australia has parent organization: University of Queensland; Brisbane; Australia has parent organization: James Cook University; Townsville; Australia |
Australian Commonwealth Department of Education Science and Training DEST via the Research Information Infrastructure Framework for Australian Higher Education | nif-0000-30038 | SCR_008390 | 2026-09-19 12:51:39 | 31 | ||||||||
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TB Consortium Bias Removal Server Resource Report Resource Website 1+ mentions |
TB Consortium Bias Removal Server (RRID:SCR_008425) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Map improvement server that returns a bias minimized, 6-fold averaged map generated from a model and diffraction data (with optional preceding Molecular Replacement). It does not build or repair the model for you (yet). For automated model building, you need to install a local copy of CCP4 and ARP/wARP (aka wARP&Trace), RESOLVE, MAID, or TEXTAL. | map, server, diffraction, data, electron, density, model, software | has parent organization: Texas A and M University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30172 | SCR_008425 | Bias Removal Server | 2026-09-19 12:51:39 | 2 | ||||||||
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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 | 2026-09-19 12:51:40 | 39 | ||||||||
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BioBank Central Resource Report Resource Website |
BioBank Central (RRID:SCR_008645) | BioBank Central | biospecimen repository, material storage repository, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. Web-based portal to connect all the constituencies in the global biobank community. The project seeks to increase the transparency and accessibility of the scientific research process by connecting researchers with an additional source of funding - microinvestments received from the broader online community. In exchange for these public investments, researchers will maintain research logs detailing the play-by-play progress made in their project, as well as publishing all of their data in a public database under a science commons license. These research projects, in turn, will serve to continually update a research-based neuroscience-based human brain & body curriculum. Biobanks are the meeting point of two major information trends in biomedical research: the generation of huge amounts of genomic and other laboratory data, and the electronic capture and integration of patient clinical records. They are comprised of large numbers of human biospecimens supplemented with clinical data. Biobanks when implemented effectively can harness the power of both genomic and clinical data and serve as a critical bridge between basic and applied research, linking laboratory to patient and getting to cures faster. As science and technology leaders work to address the many challenges facing U.S. biobanks logistical, technical, ethical, financial, intellectual property, and IT BioBank Central will serve as an accurate and timely source of knowledge and news about biorepositories and their role in research and drug development. The Web site also provides a working group venue, patient and public education programs, and a forum for international collaboration and harmonization of best practices. | biobank, community, biomedical, data, genomic, integration, patient, clinical, human, biospecimen, science, technology, biorepository, drug, development, education | has parent organization: Open Source Science Project | FasterCures ; Feinstein Kean Healthcare ; IBM Healthcare and Life Sciences ; Affymetrix ; Bioaccelerate Holdings Inc. ; Invitrogen Corporation |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32933 | SCR_008645 | 2026-09-19 12:51:43 | 0 | |||||||
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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 | 2026-09-19 12:51:43 | 31 | |||||
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BlogMyData Resource Report Resource Website |
BlogMyData (RRID:SCR_008697) | blog, data or information resource, documentation generation software, narrative resource, software application, software development tool, software resource | Software tool for data sharing, incorporating blogs and spatial registration of data. Mainly used in geological data sets. A Virtual Research Environment (VRE) aims to combine the capabilities of two existing technologies that have already seen wide adoption among scientists: - The Godiva2 data visualization system provides a means for scientists to browse interactively in a ''Google Maps-like'' fashion through large environmental datasets, including numerical model outputs and high-resolution satellite imagery, using only a web browser. - The LabBlog is a web-based blogging tool specifically designed for the practising scientist to record, disseminate and evaluate their research. The Blog can also be used as a collaboration tool that allows secure discussion between colleagues. Although initially designed for the use of laboratory chemists, the LabBlog is being adapted in this project to meet the needs of environmental scientists. The BlogMyData VRE will allow scientists to explore data visually using Godiva2, then make comments about features in the data on a blog. Colleagues will discover these blog entries and offer further information, providing answers to research questions through comments. Through RSS and GeoRSS feeds, colleagues, investigators and other interested parties can be notified of research activity, and scientists can discover hitherto-unknown colleagues working with similar data in similar geographic regions. Sponsors: BlogMyData is a collaboration between the Reading e-Science Centre and the University of Southampton and is one of the JISC VRERI projects. | blog, technology, scientist, visualization, environmental, dataset, model, data | has parent organization: University of Southampton; Southampton; United Kingdom | nif-0000-37662 | SCR_008697 | BlogMyData | 2026-09-19 12:51:44 | 0 | |||||||||
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Open Information Integration Resource Report Resource Website 1+ mentions |
Open Information Integration (RRID:SCR_008699) | software resource | OpenII (pronounced open-eye-eye) is a freely downloadable, open source information integration (II) tool suite. It includes 1) an extensible, plug-and-play platform for II tools and 2) several tools that assist with common integration tasks, including fully- or semi-automated support in the following scenarios: :- An integration engineer building a data warehouse must determine how diverse component data schemas map to the schema of the warehouse. :- An XML document that conforms to one schema needs to be converted into an equivalent document that conforms to a second (different) schema. :- To support data exchanges, a community needs to create a shared data model based on the models of its members. When a new member joins, the community needs to identify promising data exchange partners, and to what extent its shared model needs to be extended. Similarly, a chief information officer must identify data integration opportunities and make level-of-effort estimates after an acquisition or merger. To support these scenarios, OpenII provides a schema repository into which diverse data models can easily be imported. It also provides tools that 1) assist with identifying semantic correspondences across data models (Harmony), 2) compare a set of data models against a common reference model (Proximity), 3) visually organize a set of data models into clusters of related data models (Affinity), and 4) establish a common data model for a set of inter-related data models (Unity). Why should You use OpenII? Here are some reasons: :- OpenII is the only open-source platform for information integration tools. OpenII and its source code are freely available using the Apache 2.0 license, so you are free to borrow, extend or resell any portions of OpenII. :- The OpenII schema and mapping repository is based on a neutral modeling language. Thus, all of the OpenII tools can be used regardless of the underlying modeling language. For example, Harmony can identify correspondences among an XML schema, a relational database, and an OWL ontology. By comparison, most commercial tools are tied to a particular modeling language. :- OpenII is based on the Eclipse framework. As a result, the environment is already familiar to many programmers. Non-programmers can choose, instead, to use OpenII off-the-shelf without needing to first install Eclipse. :- OpenII is fully extensible. If needed components do not exist, they can be readily added. For example, adding a new importer or exporter is a straightforward task that can be completed in only a few hours. Moreover, each of the tools supports the introduction of new algorithms. And, programmers familiar with the Eclipse environment can add new views with moderate effort. Sponsors: This resource is supported by the MITRE Corporation. | information integration, data, repository, modeling, environment | is listed by: 3DVC | nif-0000-37669 | SCR_008699 | OpenII | 2026-09-19 12:51:44 | 1 | |||||||||
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International Observatory on Neuro-Information Resource Report Resource Website 1+ mentions |
International Observatory on Neuro-Information (RRID:SCR_008690) | data or information resource, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The International Observatory on Neuro-Information is the central source of knowledge, research and data on all skills and issues for Neuroscience applied in Information Sciences. It is an initiative of the Documentation Sciences Foundation, from Spain, which aims to gather information, express opinions, prepare documents, make comparative research, support and promote policy-making, evaluate trends, and take other appropriate action relating to the Neuroscience and its application to the Information Sciences (Libraries, Archives, Documentation centers), and how the traditional knowledge of Information Sciences can bring expertise in data visualization and retrieval techniques, records management, quality assurance and usability in Neuroscience. The Observatory may work together, or in agreement with other national or international organizations pursuing similar or compatible aims. | observatory, neuroscience, research, knowledge, data, science | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-37631 | SCR_008690 | Neuro-information | 2026-09-19 12:51:44 | 8 | |||||||||
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Eddy Lab Software Resource Report Resource Website 10+ mentions |
Eddy Lab Software (RRID:SCR_001458) | software resource | Software library containing tools for statistical manipulations of data. Tools include profile hidden Markov models for biological sequence analysis, RNA structure analysis, and a prototype noncoding RNA genefinder. | software repository, statistics, data, statistical analysis, statistical manipulation, markov model, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Janelia Research has parent organization: Howard Hughes Medical Institute |
Free, Available for download, Freely available | biotools:pknots, nif-0000-08778 | https://bio.tools/pknots | http://selab.janelia.org/software.html | SCR_001458 | Eddy Lab: Software, Eddy Lab - Software | 2026-09-19 12:49:42 | 23 | ||||||
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PD-DOC Resource Report Resource Website |
PD-DOC (RRID:SCR_001596) | PD-DOC | data or information resource, data repository, database, portal, service resource, storage service resource, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 02, 2011. Notice: This domain name expired on 10/29/11 and is pending renewal or deletion PD-DOC is a portal and a database resource, hosting a database and linking to other databases and data sets of clinical and translational data. PD-DOC functions to organize and facilitate clinical and translational research in Parkinson's disease. The PD-DOC Database contains standardized data collected by user institutions on large numbers of patients with Parkinsons disease and other parkinsonian disorders. In some cases, data is obtained at a single point in time, while in others data is collected repeatedly over time. The PD-DOC Database is composed of the Core Data Set (CDS) which consists of those variables required to be gathered for each subject whose data is entered into the PD-DOC database. In 2005, working groups of Udall Center and invited experts deliberated to establish the components of each CDS section (e.g. General Clinical, Cognitive/Behavioral, Postmortem Brain Neuropathological Findings). The PD-DOC CDS was established and designed to optimize data analyses and data mining for large numbers of subjects participating in a variety of research studies. In most cases corresponding DNA samples are available form the NINDS Human Genetic Repository (at Coriell). Much of the website is publicly available for viewing. To request access to sections of the website dealing with downloading or requesting data, requesting a consultation, or submitting data or other information you will need to register. Before registering, you should read the PD-DOC Policies. Note that PD-DOC data can be used for research purposes only. Once your registration is successfully completed you will be automatically logged into the website. | data, parkinson's disease, translational research, clinical, gds-15, cowat, dna, hoehn and yahr, idiopathic pd, lnst, merq, mmse, npi-q, parkinsonism, se/adl, updrs |
is related to: NINDS Repository has parent organization: University of Rochester; New York; USA |
NINDS U01NS050095 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10109 | SCR_001596 | The Parkinson's Disease Data and Organizing Center (PD-DOC), Parkinson's Disease Data and Organizing Center, The Parkinson's Disease Data and Organizing Center | 2026-09-19 12:49:43 | 0 | ||||||
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ChIPseeqer Resource Report Resource Website 10+ mentions |
ChIPseeqer (RRID:SCR_001545) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software that provides a comprehensive framework for the analysis of ChIP-seq data. | sequence analysis, framework, ChIP, chip-seq, chip-seq data, sequencing, data, algorithm |
is listed by: OMICtools has parent organization: Weill Cornell Medical College; New York; USA |
DOI:10.1186/1471-2105-12-277 | Free, Available for download, Freely available | OMICS_00422 | SCR_001545 | 2026-09-19 12:49:42 | 18 | ||||||||
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eBioNews - A Subsidiary of eBioCenter Resource Report Resource Website |
eBioNews - A Subsidiary of eBioCenter (RRID:SCR_001717) | data or information resource, portal, topical portal | eBioNews specializes in online information services and resource exchanges in the fields of life sciences and biotechnology. By applying its knowledge database and content management system (CMS), eBioNews offers readers and customers the organized and comprehensive information. eBioNews also provides a membership-based service to assist our customers in information and data search, processing, storage, and sharing. Generally, eBioNews covers the following areas: - life science frontiers - news and discussions - features and specials - resources and sourcing - career development - academic and industry - training and education Additionally, eBioNews information is organized into the following two clusters: - News Center: 1. Headlights 2. Research Frontiers 3. General Research 4. Clinical Development 5. Enterprise & Industry 6. Products & Services 7. Investment & Financials 8. Features 9. Newsletter The News Center consists of the elements and mechanisms that enable collecting, organizing, displaying, and delivering life science related information, data, and knowledge. - Resource Center: 1. eBioResources 2. Cooperation 3. Events 4. Human Resources 5. Intellectual Property 6. Finance & Legal 7. Operations 8. Organization 9. Publication The Resource Center is a system that hosts and facilitates the resource-related information between and among multiple parties, especially for promoting cooperation, collaboration, consortium, partnering, joint venture, licensing, out-sourcing, and trading. Sponsors: This resource is supported by eBioCenter Corporation. | education, biology, biotechnology, career, data, database, developing, industry, knowledge, life, life science, mechanism, news, organizing, processing, science, service, sharing, storage, training | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10216 | http://www.ebionews.com/ | SCR_001717 | eBioNews | 2026-09-19 12:49:45 | 0 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
