Searching the RRID Resource Information Network
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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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GeneDB Spombe Resource Report Resource Website |
GeneDB Spombe (RRID:SCR_010639) | GeneDB_Spombe, GeneDB Spombe, GeneDB S. pombe | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE documented June 6, 2013 Database of all S. pombe (fission yeast) known and predicted protein coding genes, pseudogenes, transposons, tRNAs, rRNAs, snRNAs, snoRNAs and other known and predicted non-coding RNAs. Curation of new and existing literature is ongoing and changes are incorporated weekly. User feedback is welcome. The genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote: 4,824, has been sequenced and annotated. The centromeres are between 35 and 110 kilobases (kb) and contain related repeats including a highly conserved 1.8-kb element. Regions upstream of genes are longer than in budding yeast (Saccharomyces cerevisiae), possibly reflecting more-extended control regions. Some 43% of the genes contain introns, of which there are 4,730. Fifty genes have significant similarity with human disease genes; half of these are cancer related. We identify highly conserved genes important for eukaryotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing. These genes may have originated with the appearance of eukaryotic life. Few similarly conserved genes that are important for multicellular organization were identified, suggesting that the transition from prokaryotes to eukaryotes required more new genes than did the transition from unicellular to multicellular organization. | fission yeast |
is related to: PomBase has parent organization: GeneDB |
Wellcome Trust | PMID:11859360 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_62442 | SCR_010639 | Schizosaccharomyces pombe GeneDB, GDB S. pombe | 2026-02-14 02:06:38 | 0 | |||||
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Genomics of Drug Sensitivity in Cancer Resource Report Resource Website 1000+ mentions |
Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) | Genomics of Drug Sensitivity in Cancer | data or information resource, database | A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs. | compound, gene, molecule, drug, FASEB list |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Cancer | Wellcome Trust | OMICS_01581 | SCR_011956 | 2026-02-14 02:06:20 | 1418 | |||||||
|
SHERPA RoMEO Resource Report Resource Website |
SHERPA RoMEO (RRID:SCR_013815) | data or information resource, database | A database which houses publisher policies regarding the self- archiving of journal articles on the web and in Open Access repositories. RoMEO contains publishers' general policies on self-archiving of journal articles and certain conference series. Each entry provides a summary of the publisher's policy, including what version of an article can be deposited, where it can be deposited, and any conditions that are attached to that deposit. | database, publisher policy, open access |
is listed by: Connected Researchers is related to: Connected Researchers has parent organization: University of Nottingham; Nottingham; United Kingdom |
JISC ; Wellcome Trust |
Free, Public | SCR_013815 | RoMEO | 2026-02-14 02:06:44 | 0 | ||||||||
|
Sanger Mouse Resources Portal Resource Report Resource Website 50+ mentions |
Sanger Mouse Resources Portal (RRID:SCR_006239) | Sanger Mouse Portal, WTSI Mouse Resources Portal, WTSI Mouse Resource Portal | material resource, biomaterial supply resource | Database of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. | bacterial artificial chromosome, vector, embryonic stem cell, mutant mouse line, phenotype, gene, knockout, gene expression, genetics, chromosome, mutant, mouse line, mammal, marker symbol |
is listed by: One Mind Biospecimen Bank Listing is related to: Ensembl has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust 079643; Wellcome Trust 098051; NHGRI UO1-HG004080; NCRR 1-U42RR033192; European Union LSHG-CT-2006-037188; European Union 227490; European Union 312325; European Union 261492 |
For the scientific community | nlx_151819 | SCR_006239 | Mouse Resources Portal, Wellcome Trust Sanger Institute Mouse Resources Portal | 2026-02-15 09:19:22 | 51 | ||||||
|
HipSci Resource Report Resource Website 100+ mentions |
HipSci (RRID:SCR_003909) | HipSci | material resource, biomaterial supply resource | A UK national induced pluripotent stem (iPS) cell resource that will create and characterize more than 1000 human iPSCs from healthy and diseased tissue for use in cellular genetic studies. Between 2013 and 2016 they aim to generate iPS cells from over 500 healthy individuals and 500 individuals with genetic disease. They will then use these cells to discover how genomic variation impacts on cellular phenotype and identify new disease mechanisms. Strong links with NHS investigators will ensure that studies on the disease-associated cell lines will be linked to extensive clinical information. Further key features of the project are an open access model of data sharing; engagement of the wider clinical genetics community in selecting patient samples; and provision of dedicated laboratory space for collaborative cell phenotyping and differentiation. | stem cell, genomic variation, cellular phenotype, disease mechanism, phenotype, disease, clinical data, clinical, genetics, male, female, cell line, induced pluripotent stem cell |
is listed by: One Mind Biospecimen Bank Listing has parent organization: European Bioinformatics Institute |
Healthy, Genetic disease | Wellcome Trust ; MRC |
Acknowledgement required, Free, Public | nlx_158252 | SCR_003909 | Human Induced Pluripotent Stem Cells Initiative | 2026-02-15 09:18:38 | 115 | |||||
|
YaHS Resource Report Resource Website 100+ mentions |
YaHS (RRID:SCR_022965) | software application, data processing software, data analysis software, software resource | Software command line tool for construction of chromosome scale scaffolds from Hi-C data. Scaffolding tool using Hi-C or Omni-C data. Used to scaffold contig level assemblies into chromosome scale scaffolded assemblies. | construction of chromosome scale scaffolds, Hi-C data, Omni-C data, scaffold contig level assemblies, chromosome scale scaffolded assemblies | Wellcome Trust | DOI:10.1101/2022.06.09.495093 | Free, Available for download, Freely available | SCR_022965 | 2026-02-15 09:22:21 | 450 | |||||||||
|
EvidenceFinder Resource Report Resource Website 1+ mentions |
EvidenceFinder (RRID:SCR_013764) | web application, software resource | A web application to assist in the identification of articles and research related to literature search terms. The search covers full text articles in the Europe PMC repository. Relevant papers are suggested to users based on the scientific term searched and the selection of questions, generated by the application, relevant to term searched. | web application, software resource, literature search, bio.tools |
is used by: Europe PubMed Central is listed by: Connected Researchers is listed by: Debian is listed by: bio.tools is related to: Connected Researchers is related to: Europe PubMed Central has parent organization: Europe PubMed Central |
Wellcome Trust 098231 | DOI:10.1093/nar/gku1061 | Free, Public | biotools:evidence_finder | https://bio.tools/evidence_finder | SCR_013764 | 2026-02-15 09:20:51 | 3 | ||||||
|
LOHHLA Resource Report Resource Website 1+ mentions |
LOHHLA (RRID:SCR_023690) | software application, data processing software, data analysis software, software resource | Software tool to evaluate HLA loss using next-generation sequencing data. Computational tool to determine HLA allele-specific copy number from sequencing data. | evaluate HLA loss, Human Leukocyte Antigen loss, next-generation sequencing data, determine HLA allele-specific copy number, sequencing data, | Cancer Research UK ; University College London Hospitals Biomedical Research Centre ; European Union Seventh Framework Programme ; UK Medical Research Council ; Wellcome Trust ; Rosetrees Trust ; NovoNordisk Foundation ; Prostate Cancer Foundation ; Breast Cancer Research Foundation ; European Research Council ; Marie Curie Network PloidyNet |
PMID:29107330 | Restricted | SCR_023690 | Loss Of Heterozygosity in Human Leukocyte Antigen | 2026-02-15 09:23:23 | 6 | ||||||||
|
European Xenopus Resource Center Resource Report Resource Website 50+ mentions |
European Xenopus Resource Center (RRID:SCR_007164) | EXRC | organism supplier, material resource, biomaterial supply resource | 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 | Wellcome Trust ; BBSRC ; NC3Rs |
nif-0000-38111 | SCR_007164 | 2026-02-15 09:19:28 | 54 | ||||||||
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SpydrPick Resource Report Resource Website 1+ mentions |
SpydrPick (RRID:SCR_018176) | software application, data processing software, data analysis software, software resource | Software command line tool for performing direct coupling analysis of aligned categorical datasets. Used for analysis at scale of pan genomes of many bacteria. Incorporates correction for population structure, which adjusts for phylogenetic signal in data without requiring explicit phylogenetic tree. | Direct coupling analysis, aligned categorical datasets, analysis, genome, bacteria, phylogenetic signal, correction, phylogenetic tree, data, bio.tools |
is listed by: Debian is listed by: bio.tools |
COIN Center of Excellence ; Academy of Finland ; Wellcome Trust ; European Research Council |
PMID:31361894 | Free, Available for download, Freely available | biotools:SpydrPick | https://anaconda.org/bioconda/spydrpick https://bio.tools/SpydrPick |
SCR_018176 | 2026-02-15 09:22:19 | 2 | ||||||
|
SuperDCA Resource Report Resource Website 1+ mentions |
SuperDCA (RRID:SCR_018175) | software application, data processing software, data analysis software, software resource | Software tool for global direct coupling analysis of input genome alignments. Implements variant of pseudolikelihood maximization direct coupling analysis, with emphasis on optimizations that enable its use on genome scale. May be used to discover co evolving pairs of loci.Used for genome wide epistasis analysis. | Protein, sequence, alignment, analysis, genome, loci, epistasis | Academy of Finland ; Wellcome Trust ; Royal Society ; European Research Council |
PMID:29813016 | Free, Available for download, Freely available | SCR_018175 | Super Direct Coupling Analysis | 2026-02-15 09:21:33 | 1 | ||||||||
|
Stimfit Resource Report Resource Website 10+ mentions |
Stimfit (RRID:SCR_016050) | software application, data processing software, data analysis software, 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 ; Wellcome Trust ; Gatsby Charitable Foundation |
PMID:24600389 | Free, Available for download | SCR_016050 | 2026-02-15 09:21:45 | 38 | ||||||||
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neuroConstruct Resource Report Resource Website 10+ mentions |
neuroConstruct (RRID:SCR_007197) | neuroConstruct | software application, software resource, simulation software | 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 | 2026-02-16 09:46:54 | 10 | ||||||
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T1DBase Resource Report Resource Website 100+ mentions |
T1DBase (RRID:SCR_007959) | resource, data repository, database, storage service resource, service resource, data or information 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 | 2026-02-16 09:47:04 | 145 | ||||
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Rfam Resource Report Resource Website 1000+ mentions |
Rfam (RRID:SCR_007891) | Rfam, RFAM | data analysis service, analysis service resource, database, production service resource, service resource, data or information 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 | 2026-02-16 09:47:03 | 3693 | ||||||
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Metabolic Subphenotype Predictor Resource Report Resource Website 1+ mentions |
Metabolic Subphenotype Predictor (RRID:SCR_027192) | source code, software resource | Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes. | Inference of T2D metabolic subphenotypes, identification of dominant metabolic subphenotype, extraction from glucose tiemseries, visualization of metabolic phenotypes, classification of metabolic subphenotype, s | NIDDK R01 DK110186; Stanford PHIND award ; Stanford Diabetes Research Center ; Wellcome Trust ; NIDDK U01 DK105535; NIDDK U01 DK085545; NIDDK UM1DK126185; NHLBI 2T32HL09804911 |
PMID:39715896 | Free, Available for download, Freely available | SCR_027192 | 2026-02-15 09:24:06 | 1 | |||||||||
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Dictyostelium Anatomy Ontology Resource Report Resource Website 1+ mentions |
Dictyostelium Anatomy Ontology (RRID:SCR_005929) | ontology, data or information resource, controlled vocabulary | 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 | 2026-02-16 09:46:35 | 1 | ||||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | research forum portal, disease-related portal, topical portal, portal, biospecimen repository, service resource, storage service resource, data or information resource, material storage repository | 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) | 2026-02-16 09:46:38 | 42 | |||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | data analysis service, analysis service resource, database, production service resource, service resource, data or information 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 | 2026-02-16 09:46:37 | 25 | ||||
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Wellcome Images Resource Report Resource Website |
Wellcome Images (RRID:SCR_004181) | Wellcome Images | image repository, image collection, data repository, database, storage service resource, service resource, data or information 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 | 2026-02-16 09:46:20 | 0 |
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