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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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POAS4SPM Resource Report Resource Website 1+ mentions |
POAS4SPM (RRID:SCR_010469) | POAS4SPM | software resource | Software toolbox for SPM to denoise diffusion MRI data. Used for diffusion weighted magnetic resonance imaging data enhancement based on structural adaptive smoothing in both voxel space and diffusion-gradient space.Part of the ACID-toolbox. | denoise diffusion MRI data, diffusion weighted, magnetic resonance imaging data, MRI data, |
is related to: ACID works with: SPM |
Deutsche Forschungsgemeinschaft ; Wellcome Trust |
PMID:24993814 | nlx_157718 | http://www.diffusiontools.com/ | SCR_010469 | Position Orientation Adaptive Smoothing for SPM | 2026-08-29 11:23:43 | 9 | |||||
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T1DBase Resource Report Resource Website 100+ mentions |
T1DBase (RRID:SCR_007959) | data or information resource, data repository, database, resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data. | genetics, beta cell, gene, variant, region, genomics, gene expression, genome-wide association study, data analysis service, bio.tools |
is used by: NIF Data Federation is used by: NIDDK Information Network (dkNET) is listed by: NIDDK Information Network (dkNET) is listed by: Debian is listed by: bio.tools is related to: dkCOIN has parent organization: University of Cambridge; Cambridge; United Kingdom |
Type 1 diabetes. Diabetes | Wellcome Trust ; NIDDK ; Juvenile Diabetes Research Foundation |
PMID:20937630 | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-03531, biotools:t1dbase | https://bio.tools/t1dbase | SCR_007959 | T1DBase - Type 1 Diabetes Database | 2026-08-29 11:23:04 | 147 | ||||
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Rfam Resource Report Resource Website 1000+ mentions |
Rfam (RRID:SCR_007891) | Rfam, RFAM | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | The Rfam database is a collection of RNA families, each represented by multiple sequence alignments, consensus secondary structures and covariance models (CMs). The families in Rfam break down into three broad functional classes: Non-coding RNA genes, structured cis-regulatory elements and self-splicing RNAs. Typically these functional RNAs often have a conserved secondary structure which may be better preserved than the RNA sequence. The CMs used to describe each family are a slightly more complicated relative of the profile hidden Markov models (HMMs) used by Pfam. CMs can simultaneously model RNA sequence and the structure in an elegant and accurate fashion. Rfam is also available via FTP. You can find data in Rfam in various ways... * Analyze your RNA sequence for Rfam matches * View Rfam family annotation and alignments * View Rfam clan details * Query Rfam by keywords * Fetch families or sequences by NCBI taxonomy * Enter any type of accession or ID to jump to the page for a Rfam family, sequence or genome | family, genome, clan, structure, non-coding rna, FASEB list | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | Howard Hughes Medical Institute ; University of Manchester; Manchester; United Kingdom ; Wellcome Trust WT077044/Z/05/Z |
PMID:21062808 | http://rfam.sanger.ac.uk/ | SCR_007891 | RFAM, Rfam database | 2026-08-29 11:22:56 | 4040 | ||||||
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ChEMBL Resource Report Resource Website 1000+ mentions |
ChEMBL (RRID:SCR_014042) | data or information resource, database | Collection of bioactive drug-like small molecules that contains 2D structures, calculated properties and abstracted bioactivities. Used for drug discovery and chemical biology research. Clinical progress of new compounds is continuously integrated into the database. | database, compound, data, bioassay, bioactive, molecule, drug, discovery |
is used by: GEROprotectors is used by: PubChem is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
EMBL Member States ; EU Innovative Medicines Initiative ; GSK ; Medicines for Malaria Ventures ; Pfizer ; Syngenta ; Wellcome Trust |
PMID:21948594 | Public, Free, Freely available, Acknowledgement requested | r3d100010539 | https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320, https://doi.org/10.17616/R3C320 | SCR_014042 | ChEMBLdb, Chembl, ChEMBL Database | 2026-08-29 11:24:47 | 3035 | |||||
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BoxPlotR Resource Report Resource Website 100+ mentions |
BoxPlotR (RRID:SCR_015629) | data processing software, data visualization software, software application, software resource, web application | Web tool written in R for generation of box plots with R packages shiny, beanplot4, vioplot, beeswarm and RColorBrewer, and hosted on shiny server to allow for interactive data analysis. Data are held temporarily and discarded as soon as session terminates.Represents both summary statistics and distribution of primary data. Enables visualization of minimum, lower quartile, median, upper quartile and maximum of any data set.Data matrix can be uploaded as file or pasted into application. May be downloaded to run locally or as virtual machine for VMware and VirtualBox. | Box plot generation, customized box plot, data, plot, analysis |
is listed by: SoftCite is related to: PlotsOfData is related to: vioplot |
ERC ; Genome Québec International Recruitment Award ; Wellcome Trust ; WTCCB |
PMID:24481215 | Free, Available for download, Freely available | SCR_018327 | https://github.com/VizWizard/BoxPlotR.shiny | SCR_015629 | 2026-08-29 11:25:02 | 370 | ||||||
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European Xenopus Resource Center Resource Report Resource Website 50+ mentions |
European Xenopus Resource Center (RRID:SCR_007164) | EXRC | biomaterial supply resource, material resource, organism supplier | Supports researchers using Xenopus models. Researchers are encouraged to deposit Xenopus transgenic and mutant lines, Xenopus in situ hybridization probes, Xenopus specific antibodies and Xenopus expression clones with the Centre. EXRC staff perform quality assurance testing on these reagents and then make them available to researchers at cost. Supplies wild-type Xenopus, embryos, oocytes and Xenopus tropicalis fosmids. | RIN, Resource Information Network, Xenopus, Resouce, Distributor, Supplier, Researcher, Research, Model, Hybridization, Probe, Antibody, Expression, Clone, Reagent, Embryo, Oocyte, Fosmid, Xenopus tropicalis, RRID Community Authority | is listed by: Resource Information Network | BBSRC ; NC3Rs ; Wellcome Trust |
nif-0000-38111 | SCR_007164 | 2026-08-29 11:22:47 | 54 | ||||||||
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neuroConstruct Resource Report Resource Website 10+ mentions |
neuroConstruct (RRID:SCR_007197) | neuroConstruct | simulation software, software application, software resource | Software for simulating complex networks of biologically realistic neurons, i.e. models incorporating dendritic morphologies and realistic cell membrane conductance, implemented in Java and generates script files for the NEURON and GENESIS simulators, with support for other simulation platforms (including PSICS and PyNN) in development. neuroConstruct is being developed in the Silver Lab in the Department of Neuroscience, Physiology and Pharmacology at UCL and uses the latest NeuroML specifications, including MorphML, ChannelML and NetworkML. Some of the key features of neuroConstruct are: Creation of networks of biologically realistic neurons, positioned in 3D space. Complex connectivity patterns between cell groups can be specified for the networks. Can import morphology files in GENESIS, NEURON, Neurolucida, SWC and MorphML format for inclusion in network models. Simulations can be run on the NEURON or GENESIS platforms. Cellular processes (synapses/channel mechanisms) can be imported from native script files or created in ChannelML. Recording of simulation data generated by the simulation and visualization/analysis of data. Stored simulation runs can be viewed and managed through the Simulation Browser interface. | cell, cellular, channel, conductance, data, dendrite, java, mechanism, membrane, model, morphology, network, neuron, neuronal network, pharmacology, physiology, simulation, software, synapse, visualization |
is listed by: 3DVC is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NEURON is related to: Open Source Brain is related to: NeuroML has parent organization: University College London; London; United Kingdom |
Wellcome Trust ; MRC |
nif-0000-00105 | http://www.nitrc.org/projects/neuroconstruct | SCR_007197 | neuroConstruct: Biophysical Neural Network Modeling Software | 2026-08-29 11:22:53 | 11 | ||||||
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Genes to Cognition: Neuroscience Research Programme Resource Report Resource Website 10+ mentions |
Genes to Cognition: Neuroscience Research Programme (RRID:SCR_007121) | data or information resource, portal, topical portal | A neuroscience research program that studies genes, the brain and behavior in an integrated manner, established to elucidate the molecular mechanisms of learning and memory, and shed light on the pathogenesis of disorders of cognition. Central to G2C investigations is the NMDA receptor complex (NRC/MASC), that is found at the synapses in the central nervous system which constitute the functional connections between neurons. Changes in the receptor and associated components are thought to be in a large part responsible for the phenomenon of synaptic plasticity, that may underlie learning and memory. G2C is addressing the function of synapse proteins using large scale approaches combining genomics, proteomics and genetic methods with electrophysiological and behavioral studies. This is incorporated with computational models of the organization of molecular networks at the synapse. These combined approaches provide a powerful and unique opportunity to understand the mechanisms of disease genes in behavior and brain pathology as well as provide fundamental insights into the complexity of the human brain. Additionally, Genes to Cognition makes available its biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline. The resources are freely-available to interested researchers. | cognition, gene, neuroscience |
is listed by: 3DVC has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust ; MRC ; BBSRC ; Gatsby Charitable Foundation ; Human Frontiers Science Programme ; European Union ; Framework Programme ; EPSRC ; NSF |
nif-0000-10235 | SCR_007121 | G2C Neuroscience Research Program, G2C Research Programme, Genes to Cognition: Neuroscience Research Program, Genes to Cognition, G2C, Genes to Cognition - Neuroscience Research Programme, Genes to Cognition-Neuroscience Research Programme, G2C Research Program | 2026-08-29 11:22:51 | 20 | ||||||||
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Bio-tradis Resource Report Resource Website 50+ mentions |
Bio-tradis (RRID:SCR_015993) | TraDIS:Transposon Directed Insertion Sequencing | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Analysis software for the output from TraDIS (Transposon Directed Insertion Sequencing) analyses of dense transposon mutant libraries. The Bio-Tradis analysis pipeline is implemented as an extensible Perl library which can either be used as is, or as a basis for the development of more advanced analysis tools. | software, tool, analysis, data, sequencing, insertion, transponson, direct, mutant, library, perl, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Alexander von Humboldt Stiftung/Foundation ; Medical Research Council G1100100/1; Wellcome Trust WT098051 |
PMID:26794317 DOI:10.1093/bioinformatics/btw022 |
Free, Available for download, Freely available | OMICS_11083, biotools:bio-tradis | https://bio.tools/bio-tradis, https://sources.debian.org/src/bio-tradis/ | SCR_015993 | 2026-08-29 11:25:05 | 56 | |||||
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SC3 Resource Report Resource Website 10+ mentions |
SC3 (RRID:SCR_015953) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software tool for the unsupervised clustering of cells from single cell RNA-Seq experiments. SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients. | scRNA-seq, interactive, cluster, clustering, cell, single, rna, rnaseq, bio.tools |
is listed by: Debian is listed by: bio.tools |
ARC (Action de Recherche Concerte) ; Belgian Network DYSCO ; Belgian State Science Policy Office ; Bloodwise 13003; Cambridge Experimental Cancer Medicine Centre ; Cambridge NIHR Biomedical Research Center ; EPSRC EP/N014529/1; FRS-FNRS ; Kay Kendall Leukaemia Fund ; Leukemia and Lymphoma Society of America 07037; MRC ; Sanger Institute ; University of Edinburgh ; Wallonia-Brussels Federation ; Wellcome Trust 104710/Z/14/Z |
PMID:28346451 | Free, Available for download | biotools:sc3 | https://bio.tools/sc3 | SCR_015953 | SC3 package, Single-Cell Consensus Clustering | 2026-08-29 11:25:08 | 23 | |||||
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Stimfit Resource Report Resource Website 10+ mentions |
Stimfit (RRID:SCR_016050) | data analysis software, data processing software, software application, software resource | Software for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. | electrophysiology, python, numpy, scipy, numerical, library, stimulus, analysis |
uses: NumPy uses: SciPy |
European Research Council ; Gatsby Charitable Foundation ; Wellcome Trust |
PMID:24600389 | Free, Available for download | SCR_016050 | 2026-08-29 11:25:29 | 41 | ||||||||
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Clonalframe Resource Report Resource Website 100+ mentions |
Clonalframe (RRID:SCR_016060) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software package for the inference of bacterial microevolution using multilocus sequence data. It is used to identify the clonal relationships between the members of a sample, while also estimating the chromosomal position of homologous recombination events that have disrupted the clonal inheritance. | analysis, sequence, inference, bacteria, microevolution, multilocus, clonal, sample, chromosome, homologuous, recombination, disrupted, inheritance, DNA, genome |
is listed by: Debian is listed by: OMICtools is related to: Imperial College London; London; United Kingdom is related to: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust | DOI:10.1534/genetics.106.063305 | Free, Available for download | OMICS_14623 | https://github.com/xavierdidelot/ClonalFrameML, https://sources.debian.org/src/clonalframe/ | SCR_016060 | ClonalFrameML | 2026-08-29 11:25:11 | 407 | |||||
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Gubbins Resource Report Resource Website 500+ mentions |
Gubbins (RRID:SCR_016131) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software application as an algorithm that iteratively identifies loci containing elevated densities of base substitutions while concurrently constructing a phylogeny based on the putative point mutations outside of these regions. It is used for phylogenetic analysis of genome sequences and generating highly accurate reconstructions under realistic models of short-term bacterial evolution., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | rapid, phylogenetic, analysis, large, sample, recombinant, bacteria, whole, genome, sequence, loci, elevated, densities, base, substitiution, mutatiion, outside, region, evolution, alignment |
is listed by: Debian is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust 098051 | PMID:25414349 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_14386 | https://sources.debian.org/src/gubbins/ | SCR_016131 | Gubbins: Genealogies Unbiased By recomBinations In Nucleotide Sequences | 2026-08-29 11:25:13 | 604 | |||||
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Brain Imaging Data Structure (BIDs) Resource Report Resource Website 100+ mentions |
Brain Imaging Data Structure (BIDs) (RRID:SCR_016124) | BIDS | data or information resource, narrative resource, portal, standard specification | Standard specification for organizing and describing outputs of neuroimaging experiments. Used to organize and describe neuroimaging and behavioral data by neuroscientific community as standard to organize and share data. BIDS prescribes file naming conventions and folder structure to store data in set of already existing file formats. Provides standardized templates to store associated metadata in form of Javascript Object Notation (JSON) and tab-separated value (TSV) files. Facilitates data sharing, metadata querying, and enables automatic data analysis pipelines. System to curate, aggregate, and annotate neuroimaging databases. Intended for magnetic resonance imaging data, magnetoencephalography data, electroencephalography data, and intracranial encephalography data. | Data storing structure, neuroimaging, standardized template, data sharing, MRI data, MEG data, EEG data, iEEG data, FASEB list |
is used by: OpenNeuro is used by: SPARC Portal is used by: SPARC Data Standard is listed by: FAIRsharing is related to: BIDS-Matlab is related to: NiPoppy works with: MNE-BIDS |
European Regional Development Fund ; German federal state of Sachsen-Anhalt ; International Neuroinformatics Coordinating Facility ; Laura and John Arnold Foundation ; Medical Research Council United Kingdom ; NIAAA U01 AA021697; NIGMS P20 GM103472; NIMH Intramural Research Program ; NSF 1429999; Wellcome Trust |
PMID:27326542 PMID:29917016 PMID:31239435 PMID:31239438 PMID:37744469 |
Free, Freely available | https://bids-specification.readthedocs.io/en/stable/, https://doi.org/10.25504/FAIRsharing.rd1j6t | SCR_016124 | Brain Imaging Data Structure, BIDS, Brain Imaging Data Structure (BIDS), Brain Imaging Data Structure v1.4.0 | 2026-08-29 11:25:13 | 235 | |||||
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Burroughs Wellcome Fund Resource Report Resource Website 100+ mentions |
Burroughs Wellcome Fund (RRID:SCR_005772) | BWF | institution | The Burroughs Wellcome Fund is an independent private foundation dedicated to advancing the biomedical sciences by supporting research and other scientific and educational activities. Within this broad mission, BWF has two primary goals: * To help scientists early in their careers develop as independent investigators * To advance fields in the basic biomedical sciences that are undervalued or in need of particular encouragement BWF''s financial support is channeled primarily through competitive peer-reviewed award programs. * BWF''s endowment: $586.8 million at the end of FY 2009 * BWF approved $26.4 million in grants during FY 2009 BWF makes grants primarily to degree-granting institutions on behalf of individual researchers, who must be nominated by their institutions. To complement these competitive award programs, BWF also makes grants to nonprofit organizations conducting activities intended to improve the general environment for science. A Board of Directors comprising distinguished scientists and business leaders governs BWF. BWF was founded in 1955 as the corporate foundation of the pharmaceutical firm Burroughs Wellcome Co. In 1993, a generous gift from the Wellcome Trust in the United Kingdom, enabled BWF to become fully independent from the company, which was acquired by Glaxo in 1995. BWF has no affiliation with any corporation. | biomedical sciences, research, science, education | Wellcome Trust | nlx_149371, grid.427464.7, Wikidata: Q5000488, ISNI: 0000 0000 8727 8697, Crossref funder ID: 100000861 | https://ror.org/01d35cw23 | SCR_005772 | 2026-08-29 11:22:29 | 115 | ||||||||
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Dictyostelium Anatomy Ontology Resource Report Resource Website 1+ mentions |
Dictyostelium Anatomy Ontology (RRID:SCR_005929) | controlled vocabulary, data or information resource, ontology | An ontology to describe Dictyostelium where the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle is defined. There are two main goals for this new tool: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes (already in use), and in the future, of gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning. To this end, all terms are defined. The complete ontology can be browsed using EBI''s ontology browser tool. (http://www.ebi.ac.uk/ontology-lookup/browse.do?ontName=DDANAT) | stricture, cell type, life cycle, phenotype, gene expression | has parent organization: Dictyostelium discoideum genome database | Wellcome Trust ; NIGMS GM64426; NHGRI HG00022 |
PMID:18366659 | nlx_14988 | SCR_005929 | 2026-08-29 11:22:28 | 1 | ||||||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-08-29 11:22:32 | 25 | ||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | biospecimen repository, data or information resource, disease-related portal, material storage repository, portal, research forum portal, service resource, storage service resource, topical portal | 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) | 2026-08-29 11:22:33 | 42 | |||||
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Wellcome Images Resource Report Resource Website |
Wellcome Images (RRID:SCR_004181) | Wellcome Images | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.Digital collection of images, with themes ranging from medical and social history to contemporary healthcare and biomedical science. The collection contains historical images from the Wellcome Library collections, Tibetan Buddhist paintings, ancient Sanskrit manuscripts written on palm leaves, beautifully illuminated Persian books and much more. The Biomedical Collection holds over 40 000 high-quality images from the clinical and biomedical sciences. Selected from the UK''s leading teaching hospitals and research institutions, it covers disease, surgery, general healthcare, sciences from genetics to neuroscience including the full range of imaging techniques. They are always looking for new high quality biomedical images from scientific researchers, clinical photographers and artists in any field of science or medicine. As a contributor you retain your original material and copyright, and receive commission and full credit each time your images are used. The annual Wellcome Images awards (previously known as Biomedical Images Awards) reward contributors for their outstanding work and winners are chosen by a panel of experts. The resulting public exhibitions are always extremely popular and receive widespread acclaim. All images on the Wellcome Images site are available free for use in: * private study and non-commercial research * examination papers * criticism and review, this applies only where there are no multiple copies made * theses submitted by a student at a higher or further education institution for the purposes of securing a degree * personal use by private individuals | biomedical, clinical, disease, surgery, healthcare, genetics, neuroscience, imaging, science, medicine, history, painting, manuscript | Wellcome Trust | THIS RESOURCE IS NO LONGER IN SERVICE | r3d100010779, nlx_143611 | https://doi.org/10.17616/R3HS58 | SCR_004181 | 2026-08-29 11:21:58 | 0 | |||||||
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ACT: Artemis Comparison Tool Resource Report Resource Website 10+ mentions |
ACT: Artemis Comparison Tool (RRID:SCR_004507) | ACT | software resource | A free tool for displaying pairwise comparisons between two or more DNA sequences. It can be used to identify and analyze regions of similarity and difference between genomes and to explore conservation of synteny, in the context of the entire sequences and their annotation. It is based on the software for Artemis, the genome viewer and annotation tool. ACT runs on UNIX, GNU/Linux, Macintosh and MS Windows systems. It can read complete EMBL and GENBANK entries or sequences in FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format. | dna sequence, genome, synteny, pairwise comparison |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust | PMID:15976072 | GNU General Public License | OMICS_00928, nlx_48986 | SCR_004507 | Artemis Comparison Tool | 2026-08-29 11:22:08 | 47 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
