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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-08-04 09:41:30 | 1 | ||||
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Automated Image Registration Resource Report Resource Website 10+ mentions |
Automated Image Registration (RRID:SCR_005944) | AIR | data processing software, alignment software, registration software, software resource, software application, software library, image analysis software, software toolkit | A tool for automated registration of 3D (and 2D) images within and across subjects and within and sometimes across imaging modalities. The AIR library can easily incorporate automated image registration into site specific programs adapted to your particular needs. | registration, alignment |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps |
GNU General Public License | nif-0000-00260 | http://www.nitrc.org/projects/air | SCR_005944 | 2026-08-04 09:41:29 | 29 | |||||||
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DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | storage service resource, data repository, service resource, database, data or information resource | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; State Key Laboratory of Urban Water Resource and Environment ; Scientific Research Fund of Heilongjiang Provincial Education Department |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth, https://bio.tools/diseasemeth | http://202.97.205.78/diseasemeth/ | SCR_005942 | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-08-04 09:41:28 | 34 | ||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | data analysis service, source code, analysis service resource, software resource, production service resource, service resource, database, data or information resource | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | 2026-08-04 09:41:31 | 0 | |||||
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GWASdb Resource Report Resource Website 10+ mentions |
GWASdb (RRID:SCR_006015) | GWASdb | web service, software resource, data access protocol, database, data or information resource | Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3) | genetic variant, genome-wide association study, functional annotation, disease classification, snp, gene, chromosome region, annotation, pathway, protein-protein interaction, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: GWASrap is related to: Human Phenotype Ontology is related to: IKMB GWAS Association Testing Pipeline is related to: GWAS Quality Control Pipeline is related to: Human Disease Ontology |
University of Hong Kong Small Project Fund 201007176262; Research Grants Council of Hong Kong 781511M; Research Grants Council of Hong Kong 778609M; Research Grants Council of Hong Kong N_HKU752/10; Food and Health Bureau of Hong Kong 10091262; NCI |
PMID:22139925 | biotools:gwasdb, nlx_151404 | https://bio.tools/gwasdb | SCR_006015 | 2026-08-04 09:41:29 | 43 | ||||||
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Artifact Detection Tools Resource Report Resource Website 100+ mentions |
Artifact Detection Tools (RRID:SCR_005994) | ART | data processing software, software resource, software application, image processing software, image analysis software, software toolkit | Toolbox for post-processing fMRI data. Includes software for comprehensive analysis of sources of artifacts in timeseries data including spiking and motion. Most compatible with SPM processing, but adaptable for FSL as well. * Operating System: MacOS, Windows, Linux * Programming Language: MATLAB * Supported Data Format: ANALYZE | artifact removal, quality metrics, registration, motion analysis, neuroimaging, fmri, spike, motion, artifact, timeseries, matlab |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: RapidArt has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Free, Available for download | nlx_151369 | http://www.nitrc.org/projects/artifact_detect | SCR_005994 | 2026-08-04 09:41:29 | 204 | |||||||
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cafe variome Resource Report Resource Website 10+ mentions |
cafe variome (RRID:SCR_006162) | Cafe Variome | data set, storage service resource, data repository, service resource, data or information resource | Clearinghouse and exchange portal for gene variant (mutation) data produced by diagnostics laboratories, offering users a portal through which to announce, discover and acquire a comprehensive listing of observed neutral and disease-causing gene variants in patients and unaffected individuals. Cafe Variome is not a ''''database'''' for the hosting/display/release of data, but a shop window for finding data. As such, it holds only core info for each record, and uses this merely to enable holistic searching across resources. Diagnostics laboratories routinely assess DNA samples from patients with various inherited disorders, and so produce a great wealth of data on the genetic basis of disease. Unfortunately, those data are not usually shared with others. To address this gross deficiency, a novel system has been developed that aims to facilitate the automated transfer of diagnostic laboratory data to the wider community, via an internet based Cafe for routinely exchanging genetic variation data. The flow of research data concerning the genetic basis of health and disease is critical to understanding and developing treatments for a range of genetic diseases. Overall, the project aims to lower the barriers and provide incentives for a willing community to share data, and thereby facilitate the broader exploitation of diagnostic laboratory data. Cafe Variome aims to address the above data flow problems by: # Minimizing the effort required to publish variant data # Ensuring attribution for data creators working in diagnostic laboratories Key elements of the project strategy are: * Data publication will be automated by endowing standard analysis tools used by laboratories with an online data submission function. Submissions will be received by a central Internet depot, which will serve as a place where published datasets are advertised, and subsequently discovered by diverse 3rd parties. * Each dataset will be unambiguously linked with the data submitter''''s identity, and systems devised to facilitate citation of published variant datasets so they can be cited in the literature. Data creators will thus be credited for their contributions. Data submitters can use Cafe Variome to simply announce or publicize their data to the world. To enable this, only core, non-identifiable data is submitted to the central repository, enabling users to search and discover records of interest in the source repository. The data are not automatically handed on to the user (unless intended by the submitters). Hence, the concept is used to deal with the challenge of maximally sharing data whilst fully respecting ethico-legal considerations. | phenotype, gene variant, mutation, gene, normal, disease | has parent organization: University of Leicester; Leicester; United Kingdom | Diseased, Healthy | European Union FP7/2007-2013- the GEN2PHEN project | Open access, Restricted access and Linked access | nlx_151664 | SCR_006162 | 2026-08-04 09:41:31 | 11 | ||||||
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Allen Brain Atlas API Resource Report Resource Website 10+ mentions |
Allen Brain Atlas API (RRID:SCR_005984) | Allen Brain Atlas API | portal, source code, topical portal, software resource, software application, data or information resource | API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service | atlas application, expression data, 3d volume, 3d coordinate, gene, reference atlas, connectivity, histology, microarray, brain, rna sequencing, mri, dti, api, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics, ish, high resolution image, nissl, annotation, atlas, image, web service, neuroblast, gene expression, gene, computational neuroscience, mouse brain, neuroanatomy, neuroimaging, neuroinformatics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Allen Mouse Brain Reference Atlas is related to: Allen Developing Mouse Brain Atlas is related to: International Neuroinformatics Coordinating Facility is related to: Brain Explorer Atlas and Teaching Tool is related to: CellTax vignette is related to: Allen Mouse Brain Common Coordinate Framework has parent organization: Allen Institute for Brain Science |
Other/Commercial license License | nlx_151358 | http://www.nitrc.org/projects/incf_allen-brai | SCR_005984 | 2026-08-04 09:41:29 | 13 | |||||||
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Hammer And WML Modules for 3D Slicer Resource Report Resource Website 1+ mentions |
Hammer And WML Modules for 3D Slicer (RRID:SCR_005980) | HAMMER, hammerwml | segmentation software, data processing software, registration software, software resource, software application, image analysis software | A software plugin for 3D Slicer that matches morphological signatures of medical images automatically. HAMMER is an acronym for Hierarchical Attribute Matching Mechanism for Elastic Registration (Dinggang Shen, Christos Davatzikos, HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, IEEE Trans. on Medical Imaging, 21(11):1421-1439, Nov 2002) - an elastic registration algorithm for medical images, matching morphological signatures of images in a hierarchical multi-scale regime. White matter lesion (WML) segmentation is a novel multi-spectral WML segmentation protocol via incorporating information from T1-w, T2-w, PD-w and FLAIR MR brain images. (Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition, Academic Radiology, 15(3):300-313, March 2008). | mri, registration, white matter lesion, segmentation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 3D Slicer has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
PMID:12575879 PMID:18280928 |
3D Slicer License | nlx_151352 | http://www.nitrc.org/projects/hammerwml | SCR_005980 | HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, Hierarchical Attribute Matching Mechanism for Elastic Registration and White matter lesion Modules for 3D Slicer | 2026-08-04 09:41:29 | 1 | |||||
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ChiCTR - Chinese Clinical Trial Registry Resource Report Resource Website 10+ mentions |
ChiCTR - Chinese Clinical Trial Registry (RRID:SCR_006037) | ChiCTR | storage service resource, registry, data repository, service resource, clinical trial, database, data or information resource | National clinical trial registry by Ministry of Health of China to join World Health Organization International Clinical Trial Registration Platform (WHO ICTRP Primary Registry), and the approved Primary Registry of WHO ICTRP. It registers both Chinese and global clinical trials, receives data from Partner Registers certified by the WHO ICTRP, and submits data to the WHO ICTRP Central Repository for global search. Moreover, based upon the talent and technical platform, consisting of Chinese Evidence-based Medicine Centre of Ministry of Health of China, Virtual Research Centre of Evidence-Based Medicine of Ministry of Education of China, Chinese Cochrane Centre, UK Cochrane Centre and International Clinical Epidemiology Network Resource and Training Centre in West China Hospital, Sichuan University (INCLEN CERTC), ChiCTR is responsible for providing consultations on trial design, central randomization service, guidance on the writing of clinical trial reports and relevant training. WHO takes the lead in establishing the global clinical trial registration system, which is agreed upon by governments from all over the world. There are both ethical and scientific reasons for clinical trial registration. Trial participants expect that their contributions to biomedical knowledge will be used to improve health care for everyone. Open access to information about ongoing and completed trials meets the ethical duty to trial participants, and promotes greater trust and public confidence in clinical research. Furthermore, trial registration ensures that the results of all trials can be tracked down and should help to reduce unnecessary duplication of research through greater awareness of existing trials and results. The mission of ChiCTR is to Unite clinicians, clinical epidemiologists, biostatisticians, epidemiologists and health care managers both at home and abroad, to manage clinical trials in a strict and scientific manner, and to promote their quality in China, so as to provide reliable evidences from clinical trials for health care workers, consumers and medical policy decision makers, and also to use medical resources more effectively to provide better service for Chinese people and all human beings. Any trial performed in human beings is considered as a clinical trial, and should be registered before its implementation. All the registered clinical trials will be granted a unique registration number by WHO ICTRP. | clinical trial, registry, registration, clinical, trial, china |
is related to: WHO International Clinical Trials Registry Platform has parent organization: Sichuan University; Sichuan; China |
nlx_151504 | SCR_006037 | Chinese Clinical Trial Registry | 2026-08-04 09:41:29 | 35 | ||||||||
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BioGrid Australia Resource Report Resource Website 100+ mentions |
BioGrid Australia (RRID:SCR_006334) | BioGrid Australia | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world. | endocrinology, neuroscience, imaging, medicine, oncology, population, cancer, cystic fibrosis, diabetes, pet, mri, clinical, respiratory, health, epilepsy, neuropsychiatry, data sharing, FASEB list | Cancer, Diabetes, Epilepsy, Cystic fibrosis, Respiratory disease, Multiple Sclerosis, Stroke, Bone density | Closed; Authorized researchers only. | nlx_152036, r3d100012476 | https://doi.org/10.17616/R3921N | http://www.biogrid.org.au/wps/portal | SCR_006334 | BioGrid Australia Limited | 2026-08-04 09:41:35 | 294 | |||||
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Multi-Dimensional Human Embryo Resource Report Resource Website 1+ mentions |
Multi-Dimensional Human Embryo (RRID:SCR_006296) | Multidimensional Human Embryo | data set, image collection, video resource, reference atlas, mri d image, atlas, data or information resource | Complete three-dimensional data set of reference magnetic resonance microscopy (MRM) images of the human embryo representing 10 stages of development for each of 18 human embryos representing Carnegie stages 10 through 23, a critical embryonic time period for organogenesis. The users of the collection are able to manipulate the data on their own personal computers to view any slice from any plane of sectioning. Dynamic rotational views of whole embryos and time-lapse views of the growing embryo are accessible. Each embryo was imaged with three magnetic resonance pulse sequences to obtain fully-registered T1-weighted, T2-weighted, and diffusion-weighted image datasets. A complete set of coronal, sagittal, and axial images were produced from each image data set. Several major organs were isolated from each T1-weighted embryo data set using image segmentation methods and separate image data sets were created to represent each of these organs. Additionally, each embryo was optically photographed under a low-power microscope. The formalin-fixed specimens came from the highly respected Carnegie Collection of Human Embryos. This is the first distributable work to document in three dimensions the anatomy of the human embryonic time period. Pseudo- time-lapse movies were created using morphing software to represent the fourth dimension (time). Carnegie stages are a system used by embryologists to describe the apparent maturity of embryos. An embryo is assigned a Carnegie stage (numbered from 1 to 23) based on its external features. This staging system is not dependent on the chronological age nor the size of the embryo. The stages, are in a sense, arbitrary levels of maturity based on multiple physical features. Embryos that might have different ages or sizes can be assigned the same Carnegie stage based on their external appearance because of the natural variation which occurs between individuals. Postovulatory age is frequently used by clinicians to describe the maturity of an embryo. It refers to the length of time since the last ovulation before pregnancy. Postovulatory age is a good indication of embryonic age because the time of ovulation can be determined and fertilization must occur close to the time of ovulation. The terms gestation, pregnancy, and conception are usually avoided in describing embryonic age because fertilization is not universally accepted as the commencement of development (some consider implantation as the beginning of development). MRM was performed at the Center for In-vivo Microscopy at Duke University. Image processing and data managment was performed at the School of Art and Design, University of Michigan. | embryonic human, magnetic resonance imaging, development, carnegie stage, photo, animation, magnetic resonance microscopy |
is related to: Magnetic Resonance Microscopy of Mouse Embryo Specimens is related to: Brad Smith Magnetic Resonance Imaging of Embryos has parent organization: University of Michigan; Ann Arbor; USA |
NICHD | Available to any interested researcher, Student, Or clinician. | nlx_151965 | SCR_006296 | Multidimensional Human Embryo Project | 2026-08-04 09:41:34 | 2 | ||||||
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Embryo Images Normal and Abnormal Mammalian Development Resource Report Resource Website |
Embryo Images Normal and Abnormal Mammalian Development (RRID:SCR_006297) | Embryo Images | image collection, training material, narrative resource, curriculum material, data or information resource | Tutorial that uses scanning electron micrographs (SEMs) as the primary resource to teach mammalian embryology. The 3-D like quality of the micrographs coupled with selected line drawings and minimal text allow relatively easy understanding of the complex morphological changes that occur in utero. Because early human embryos are not readily available and because embryogenesis is very similar across mammalian species, the majority of micrographs that are utilized in this tutorial are of mouse embryos. The remainder are human. This tutorial is divided into units that may be studied in any order. All of the images have a legend that indicates the age of the embryo. If it is a mouse embryo, the approximate equivalent human age is indicated. To minimize labeling, color-coding is widely used. To view the micrographs without color, the cursor may be placed on the image. The SEMs used in this tutorial are from the Kathleen K. Sulik collection. The line drawings have been used with permission from Lippincott Williams & Wilkins and are from the 6th and 7th editions of Langman''s Medical Embryology by T.W. Sadler. | scanning electron micrograph, embryology, morphology, mammal, embryonic mouse, embryonic human, micrograph, fetal development, body form, musculoskeletal, head, neck, ear, eye, nervous system, cardiovascular system, urogenital system, digestive system, respiratory system, development |
is listed by: GUDMAP Ontology is listed by: NIDDK Information Network (dkNET) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Normal development, Abnormal development, Birth defect | Greenwood Genetic Center ; University of North Carolina at Chapel Hill; North Carolina; USA |
The line drawings may not be reproduced without the permission of the publisher. | nlx_151966 | SCR_006297 | Embryo Images Normal & Abnormal Mammalian Development | 2026-08-04 09:41:34 | 0 | |||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | portal, topical portal, storage service resource, disease-related portal, research forum portal, biospecimen repository, service resource, material storage repository, data or information resource | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-08-04 09:41:32 | 42 | |||||
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Brodmann's Interactive Atlas Resource Report Resource Website 1+ mentions |
Brodmann's Interactive Atlas (RRID:SCR_006368) | atlas, data or information resource, mri d image | An atlas that facilitates fMRI analysis understanding by providing access to all of the functions that have been associated with each of the 52 Brodmann's areas or corresponding gyri. Links to main publications supporting the findings are provided in PubMed ID format. Brodmann's areas with similar functions and locations have been collapsed into a single page. The word left or right has been added indicating a lateralized function. All the abstracts published on PubMed on fMRI and brain PET studies in which the Brodmann's area or its anatomical correlate were mentioned have been reviewed up to August 2008. Abstracts with poorly described experimental methods or findings clearly conflicting with established knowledge provided by the clinical model were excluded. Studies on patients were also excluded. | neuroanatomy, fmri, interactive, mri, pet, brain, brodmann's areas, brodmann partition scheme region, cerebral cortex, function, brain activation, atlas | fMRI consulting | nlx_152117 | SCR_006368 | Broadmann's Interactive Atlas | 2026-08-04 09:41:35 | 3 | |||||||||
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XNAT Central Resource Report Resource Website 10+ mentions |
XNAT Central (RRID:SCR_006235) | XNAT Central | image repository, storage service resource, data repository, service resource, database, data or information resource | Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface. | magnetic resonance, pet, computed tomography, neuroimaging, mri, computer axial tomography imaging protocol, freesurfer aparc, freesurfer aseg, clinical assessment, atlas scaling factor, fast segmentation, image collection, clinical |
is used by: NITRC-IR is used by: NIF Data Federation is used by: Integrated Datasets is listed by: re3data.org is related to: Morphometry BIRN is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Free, Freely available | nif-0000-04375, r3d100010874 | https://doi.org/10.17616/R3533H | SCR_006235 | Extensible Neuroimaging Archive Toolkit CENTRAL | 2026-08-04 09:41:32 | 40 | ||||||
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FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | portal, storage service resource, community building portal, data repository, service resource, database, data or information resource | Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried. | biomedical, clinical, informatics, platform, federated, translation, institutional review board, data management software, clinical data, federation, FASEB list |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Utah School of Medicine; Utah; USA |
National Center for Advancing Translational Sciences ; U.S. Department of Health and Human Services ; University of Utah Research Foundation ; NCRR UL1 RR025764 |
PMID:20351825 PMID:18999122 |
Restricted | nlx_152164 | http://www.further.utah.edu/ | SCR_006383 | Federated Utah Research and Translational Health Electronic Repository, FURTHeR - Federated Utah Research and Translational Health Electronic Repository | 2026-08-04 09:41:35 | 77 | ||||
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ePRISM Resource Report Resource Website 1+ mentions |
ePRISM (RRID:SCR_006386) | ePRISM | software application, software resource, data management software | Software application that supports the execution of multivariable prediction models with patient-specific characteristics so that personalized estimates of outcomes, often as a function of alternative treatments, can be generated within the routine flow of patient care. This can support evidence-based, shared medical decision-making to improve the safety, outcomes and cost-effectiveness of care. The current application is in the setting of generating individualized informed consent documents for PCI. However, the tool can support that translation of novel biomarkers, genetics and pharmacogenomic interactions into clinical care. The platform gives healthcare providers instantaneous access to the latest clinical prediction models coupled with rich visualization tools. These models may come from national organizations, outcomes researchers or a specific institution. In addition to decision support applications, it can be used to rapidly create personalized educational materials, patient letters, informed consent documents and a broad array of other items that can help elevate the quality of healthcare delivery. | healthcare, clinical, prediction model, visualization, platform |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Kansas Medical Center; Kansas; USA |
nlx_152166 | SCR_006386 | Patient Refined Information Services Manager | 2026-08-04 09:41:35 | 3 | ||||||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | data processing software, software resource, software application, image processing software, data visualization software | Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIMH R01 MH60974; NEI EY02091 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret, https://sources.debian.org/src/caret/ | SCR_006260 | Computerized Anatomical Reconstruction Editing Toolkit | 2026-08-04 09:41:34 | 57 | ||||
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StemBase Resource Report Resource Website 1+ mentions |
StemBase (RRID:SCR_006252) | StemBase | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | A publicly accessible database containing data on Affymetrix DNA microarray experiments, and Serial Analysis of Gene Expression, mostly on human and mouse stem cell samples and their derivatives to facilitate the discovery of gene functions relevant to stem cell control and differentiation. It has grown in both size and scope into a system with analysis tools that examine either the whole database at once, or slices of data, based on tissue type, cell type or gene of interest. There is currently more than 210 stem cell samples in 60 different experiments, with more being added regularly. The samples were originated by researchers of the Stem Cell Network and processed at the Core Facility of Stemcore Laboratories under the management of Ms. Pearl Campbell in the frame of the Stem Cell Genomics Project. Periodically, new expression data is submitted to the Gene Expression Omnibus (GEO) repository at the National Center for Biotechnological Information, in order to allow researchers to compare the data deposited in StemBase to a large amount of gene expression data sets. StemBase is different from GEO in both focus and scope. StemBase is concerned exclusively with stem cell related data. we are focused in Stem Cell research. We have made a significant effort to ensure the quality and consistency of the data included. This allows us to offer more specialized analysis tools related to Stem Cell data. GEO is intended as a large scale public archive. Deposition in a public repository such as GEO is required by most important scientific journals and it is advantageous for a further diffusion of the data since GEO is more broadly used than StemBase. | stem cell, gene expression, dna microarray, correlation tool, serial analysis of gene expression, correlation |
is used by: BloodExpress has parent organization: University of Ottawa; Ontario; Canada |
Genome Canada ; Canadian Stem Cell Network ; Canadian Institutes of Health Research ; Canada Research Chairs |
PMID:19284540 PMID:18453254 PMID:15763554 |
Publicly accessible. Please cite. | nlx_151919 | SCR_006252 | Stem Cell Genomics database | 2026-08-04 09:41:32 | 4 |
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