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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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AceView Resource Report Resource Website 100+ mentions |
AceView (RRID:SCR_002277) | AceView/WormGenes | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions. | est, exon, expression, function, gene, alignment, arabidopsis, cdna, co-alignment, coding, disease, genome, genomic, human, intron, localization, mammal, mouse, mrna, nematode, pathway, phenotype, plant, polyadenylation, promoter, rat, sequence, signal, tissue, transcript, transcriptome, worm, blast, gold standard | has parent organization: NCBI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21007, r3d100010651 | https://doi.org/10.17616/R3260G | http://www.ncbi.nih.gov/IEB/Research/Acembly/ | SCR_002277 | AceView genes, AceView/WormGenes, The AceView Genes | 2026-09-19 12:56:34 | 186 | |||||
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EDAS - EST-Derived Alternative Splicing Database Resource Report Resource Website 1+ mentions |
EDAS - EST-Derived Alternative Splicing Database (RRID:SCR_002449) | EDAS | data or information resource, database | Databases of alternatively spliced genes with data on the alignment of proteins, mRNAs, and EST. It contains information on all exons and introns observed, as well as elementary alternatives formed from them. The database makes it possible to filter the output data by changing the cut-off threshold by the significance level. It contains splicing information on human, mouse, dog (not yet functional) and rat (not yet functional). For each database, users can search by keyword or by overall gene expression. They can also view genes based on chromosomal arrangement or other position in genome (exon, intron, acceptor site, donor site), functionality, position, conservation, and EST coverage. Also offered is an online Fisher test. | alternative splicing, gene, protein, mrna, est, exon, intron, rat, dog |
is listed by: OMICtools has parent organization: Moscow State University; Moscow; Russia |
PMID:16909834 | Free, Freely available | nif-0000-02786, OMICS_01885 | SCR_002449 | EDAS: EST Derived Alternative Splicing Database, EST Derived Alternative Splicing Database | 2026-09-19 12:56:36 | 1 | ||||||
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Retina Project Resource Report Resource Website 1+ mentions |
Retina Project (RRID:SCR_002884) | Retina Project | atlas, data or information resource, spatially referenced dataset | Collection of images from cell type-specific protein expression in retina using BAC transgenic mice. Images from cell type-specific protein expression in retina using BAC transgenic mice from GENSAT project. | electrophysiology, protein expression, fluorescent, gene, amacrine cell, astrocyte, bipolar cell, blood vessel, brain, cell, ganglion cell layer, central nervous system, circuit, horizontal cell, hybridization, microglia, adult mouse, muller cell, neocortex, neuronal, photoreceptor, protein, recombinase, retina, spinal cord, mutant mouse strain, bac, retinal cell, cell type, night vision, direction, neuronal circuitry, connectivity, image collection |
is used by: NIF Data Federation has parent organization: GENSAT at NCBI - Gene Expression Nervous System Atlas |
Department Of Health And Human Services ; NINDS N01 NS02331 |
PMID:19648912 | Free, Freely available | nif-0000-25587 | SCR_002884 | GENSAT Retina Project, Retina Project from GENSAT, The Retina Project, The Retina Project from GENSAT, GENSAT - Retina Project | 2026-09-19 12:56:37 | 2 | |||||
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PReMod Resource Report Resource Website 10+ mentions |
PReMod (RRID:SCR_003403) | PReMod | data or information resource, database | Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data. | cis-regulatory module, genome, transcription factor binding site, chromosome, module, predict, gene |
is listed by: OMICtools has parent organization: McGill University; Montreal; Canada |
PMID:17148480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03334, OMICS_01873 | SCR_003403 | Predicted Regulatory Modules | 2026-09-19 12:56:40 | 11 | ||||||
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ShARM Resource Report Resource Website 1+ mentions |
ShARM (RRID:SCR_003120) | ShARM | biomaterial supply resource, material resource, tissue bank | A not for profit organization to accelerate research into aging by sharing resources: providing access to cost and time effective, aged murine tissue through a biorepository and database of live ageing colonies, as well as promoting the networking of researchers and dissemination of knowledge through its online collaborative environment; MiCEPACE. ShARM will provide valuable resources for the scientific community while helping to reduce the number of animals used in vital research into aging. The biobank of tissue and networking facility will enable scientists to access shared research material and data. By making use of collective resources, the number of individual animals required in research experiments can be minimized. The project also has the added value of helping to reduce the costs of research by connecting scientists, pooling resource and combining knowledge. ShARM works in partnership with MRC Harwell and the Centre for Intergrated Research into Musculoskeletal Ageing (CIMA). | data sharing, female, male, gut, heart, kidney, livers, lung, mammary fat, muscle, pancreas, bat, bladder, bone, brain, femur, skin, spleen, thymus, tibia, wat, aged tissue, aged mouse, murine model | is listed by: One Mind Biospecimen Bank Listing | Aging, Control, Young control | Wellcome Trust | PMID:24085518 | Free, Freely available | nlx_156767 | SCR_003120 | Shard Ageing Research Models | 2026-09-19 12:56:39 | 4 | ||||
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miRNAMap Resource Report Resource Website 100+ mentions |
miRNAMap (RRID:SCR_003156) | miRNAMap | data or information resource, database | A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA. | microrna, genome, FASEB list |
is listed by: OMICtools has parent organization: National Chiao Tung University; Hsinchu; Taiwan |
PMID:18029362 PMID:16381831 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00408, nif-0000-03138 | SCR_003156 | 2026-09-19 12:56:39 | 251 | |||||||
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PolymiRTS Resource Report Resource Website 100+ mentions |
PolymiRTS (RRID:SCR_003389) | PolymiRTS | data or information resource, database | Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions. | polymorphism, microrna, human, disease, trait, snp, indel, pathway, genetic variant, gene expression, phenotype, chromosome, chromosome location, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PhRMA Foundation ; UT Center for Integrative and Translational Genomics ; NICHD HD052472; NIAAA AA014425; NIDA DA021131; NINR NR009270; NIAID AI081050; NIAID AI019782; American Heart Association 0830134N; United States Department of Defense W81XHW-05-01-0227 |
PMID:24163105 PMID:22080514 |
Free, Available for download, Freely available | nif-0000-03324, biotools:polymirts, OMICS_00391 | https://bio.tools/polymirts | http://compbio.utmem.edu/miRSNP/ | SCR_003389 | Polymorphism in microRNA Target Site, PolymiRTS Database, Polymorphism in microRNAs and their TargetSites | 2026-09-19 12:56:39 | 161 | |||
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Rat Gene Symbol Tracker Resource Report Resource Website 10+ mentions |
Rat Gene Symbol Tracker (RRID:SCR_003261) | RGST | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process. | gene, orthology, naming, gene symbol, nomenclature, human, mouse |
is related to: Rat Genome Database (RGD) is related to: Entrez Gene is related to: Ensembl is related to: Mouse Genome Informatics (MGI) is related to: HGNC has parent organization: RatMap |
Swedish MRC ; Nilsson-Ehle Foundation ; Sven and Lilly Lawski Foundation ; Erik Philip-Sorensen Foundation ; Wilhelm and Martina Lundgren Research Foundation ; SWEGENE Foundation |
PMID:18215257 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31426 | SCR_003261 | RGST (Rat Gene Symbol Tracker), RGST - Rat Gene Symbol Tracker | 2026-09-19 12:56:39 | 14 | |||||
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ASAP: the Alternative Splicing Annotation Project Resource Report Resource Website 10+ mentions |
ASAP: the Alternative Splicing Annotation Project (RRID:SCR_003415) | ASAP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. Database to access and mine alternative splicing information coming from genomics and proteomics based on genome-wide analyses of alternative splicing in human (30 793 alternative splice relationships found) from detailed alignment of expressed sequences onto the genomic sequence. ASAP provides precise gene exon-intron structure, alternative splicing, tissue specificity of alternative splice forms, and protein isoform sequences resulting from alternative splicing. They developed an automated method for discovering human tissue-specific regulation of alternative splicing through a genome-wide analysis of expressed sequence tags (ESTs), which involves classifying human EST libraries according to tissue categories and Bayesian statistical analysis. They use the UniGene clusters of human Expressed Sequence Tags (ESTs) to identify splices. The UniGene EST's are clustered so that a single cluster roughly corresponds to a gene (or at least a part of a gene). A single EST represents a portion of a processed (already spliced) mRNA. A given cluster contains many ESTs, each representing an outcome of a series of splicing events. The ESTs in UniGene contain the different mRNA isoforms transcribed from an alternatively spliced gene. They are not predicting alternative splicing, but locating it based on EST analysis. The discovered splices are further analyzed to determine alternative splicing events. They have identified 6201 alternative splice relationships in human genes, through a genome-wide analysis of expressed sequence tags (ESTs). Starting with 2.1 million human mRNA and EST sequences, they mapped expressed sequences onto the draft human genome sequence and only accepted splices that obeyed the standard splice site consensus. After constructing a tissue list of 46 human tissues with 2 million human ESTs, they generated a database of novel human alternative splices that is four times larger than our previous report, and used Bayesian statistics to compare the relative abundance of every pair of alternative splices in these tissues. Using several statistical criteria for tissue specificity, they have identified 667 tissue-specific alternative splicing relationships and analyzed their distribution in human tissues. They have validated our results by comparison with independent studies. This genome-wide analysis of tissue specificity of alternative splicing will provide a useful resource to study the tissue-specific functions of transcripts and the association of tissue-specific variants with human diseases. | gene, genome, human, isoform, mechanism, metazoa, molecular, mrna, nucleus, process, protein, sequence, splice, tissue specificity, transcription, transcript, alternate splicing, microarray, alternative splicing, biological process, alternatively spliced isoform, contig, cancer, image |
is listed by: Biositemaps is related to: Alternative Splicing Annotation Project II Database has parent organization: University of California at Los Angeles; California; USA |
NSF 0082964; NSF DGE-9987641; DOE DEFG0387ER60615 |
PMID:12519958 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33105 | SCR_003415 | Alternative Splicing, Alternative Splicing Annotation Project, Alternative Splicing Annotation Project database | 2026-09-19 12:56:40 | 33 | |||||
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Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | analysis service resource, data analysis service, production service resource, service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-09-19 12:56:38 | 25 | ||||
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Kravitz Dataset 2 Resource Report Resource Website 1+ mentions |
Kravitz Dataset 2 (RRID:SCR_000296) | data or information resource, data set | Dataset of the spike and laser timestamps from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings." The code will analyze spike trains around laser pulses to determine if a cell is significantly activated by the laser, and therefore expresses an excitatory opsin, such as channelrhodopsin-2. It returns an excel sheet that simply identifies the activated cells. | data set, neuron, spike train, optogenetic, in vivo, laser, channelrhodopsin, matlab | has parent organization: University of California at San Francisco; California; USA | Addiction, Parkinson's disease, Tourette's syndrome | PMID:23178332 | nlx_151410 | SCR_000296 | 2026-09-19 12:58:30 | 1 | ||||||||
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Center for In Vivo Microscopy Resource Report Resource Website 10+ mentions |
Center for In Vivo Microscopy (RRID:SCR_001426) | CIVM | biomedical technology research center, training resource | Biomedical technology research center dedicated to the development of novel imaging methods for the basic scientist and the application of the methods to important biomedical questions. The CIVM has played a major role in the development of magnetic resonance microscopy with specialized MR imaging systems capable of imaging at more than 500,000x higher resolution than is common in the clinical domain. The CIVM was the first to demonstrate MR images using hyperpolarized 3He which has been moved from mouse to man with recent clinical trials performed at Duke in collaboration with GE. More recently the CIVM has developed the molecular imaging workbench---a system dedicated to multimodality cardiopulmonary imaging in the rodent. Their collaborators are employing these unique imaging systems in an extraordinary range of mouse and rat models of neurologic disease, cardiopulmonary disease and cancer to illuminate the underlying biology and explore new therapies. | imaging, magnetic resonance microscopy, magnetic resonance imaging, clinical, mri, ct, x-ray, ultrasound, confocal, optical, spect | has parent organization: Duke University; North Carolina; USA | Cardiopulmonary disease, Cancer, Neurological disease | NIBIB 4P41EB015897-27 | Free, Freely Available | nlx_152650 | SCR_001426 | Duke Center for In Vivo Microscopy | 2026-09-19 12:58:32 | 10 | |||||
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Mammalian Brain Methylomes Resource Report Resource Website |
Mammalian Brain Methylomes (RRID:SCR_001648) | Mammalian Brain Methylomes | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE. Datasets described in the manuscript: "Global Epigenomic Reconfiguration During Mammalian Brain Development" (Science, 2013 - DOI: 10.1126/science.1237905. This study provides genome-wide composition, patterning, cell specificity, and dynamics of DNA methylation at single-base resolution in human and mouse frontal cortex throughout their lifespan. Widespread methylome reconfiguration occurs during fetal to young adult development, coincident with synaptogenesis. | epigenetics, methylation, frontal cortex, development, neuron, methylome, maturation, learning, young adult, fetus | has parent organization: Salk Institute for Biological Studies | PMID:23828890 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153926 | SCR_001648 | Mammalian Brain Methylomes | 2026-09-19 12:58:33 | 0 | ||||||
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Connectomic reconstruction of the inner plexiform layer in the mouse retina Resource Report Resource Website 1+ mentions |
Connectomic reconstruction of the inner plexiform layer in the mouse retina (RRID:SCR_002246) | MPIN Connectomics | data or information resource, data set | Data set of the dense reconstruction of 950 neurons and their mutual contacts for the mouse inner plexiform layer--the main computational neuropil region in the mammalian retina. This was achieved by applying a combination of crowd-sourced manual annotation and machine-learning-based volume segmentation to serial block-face electron microscopy data. They characterize a new type of retinal bipolar interneuron and show that they can subdivide a known type based on connectivity. Circuit motifs that emerge from their data indicate a functional mechanism for a known cellular response in a ganglion cell that detects localized motion, and predict that another ganglion cell is motion sensitive. A Data browser is also available for download | connectome, retina, retina inner plexiform layer | has parent organization: Max Planck Institute for Biological Intelligence | Max-Planck-Gesellschaft ; DFG ; Gatsby Charitable Foundation |
PMID:23925239 | Free, Freely available | nlx_155563 | SCR_002246 | 2026-09-19 12:58:34 | 1 | ||||||
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EID: Exon-Intron Database Resource Report Resource Website 10+ mentions |
EID: Exon-Intron Database (RRID:SCR_002469) | EID | data or information resource, data set | Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames. | eukaryote genome, exon, exon-intro, gene structure, genome splicing, intron, ortholog, fasta, gene, protein-coding gene, splice, motif, gene prediction, structure, coding region |
is listed by: OMICtools has parent organization: University of Toledo; Ohio; USA |
PMID:16772261 PMID:10592221 |
Free, Available for download, Freely available | OMICS_01886, nif-0000-02793 | http://www.utoledo.edu/med/depts/bioinfo/database.html | http://www.meduohio.edu/bioinfo/eid/, http://mcb.harvard.edu/gilbert/EID | SCR_002469 | The Exon-Intron Database, Exon-Intron Database | 2026-09-19 12:58:34 | 11 | ||||
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Mouse Genome Informatics Transgenes Resource Report Resource Website 1+ mentions |
Mouse Genome Informatics Transgenes (RRID:SCR_003468) | MGI Transgene | data or information resource, data set |
Data set of collected and annotated expression and activity data for recombinase-containing transgenes and knock-in alleles. As the authoritative source of official names for mouse genes, alleles, and strains, MGI makes this list of transgenes available as a service and includes all known transgenes and synonyms. NIF provides a database interface so that researchers may have a better idea whether the trangene or transgenic animal that they are searching for is available. Nomenclature follows the rules and guidelines established by the International Committee on Standardized Genetic Nomenclature for Mice. |
transgene, allele, phenotype |
is used by: NIF Data Federation is related to: Integrated Manually Extracted Annotation has parent organization: Mouse Genome Informatics (MGI) |
Acknowledgement requested, Non-commercial, Commercial with permission, Copyrighted | nif-0000-34000 | SCR_003468 | 2026-09-19 12:58:35 | 3 | ||||||||
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Virtual NeuroMorphology Electronic Database Resource Report Resource Website 1+ mentions |
Virtual NeuroMorphology Electronic Database (RRID:SCR_007118) | data or information resource, data set | A database of virtually generated anatomically plausible neurons for several morphological classes, including cerebellar Purkinje cells, hippocampal pyramidal and granule cells, and spinal cord motoneurons. It presently contains 542 cells. In the trade neurons collection the database contains an amaral cell archive, neuron morpho reconstructions, and mouse alpha motoneurons. Their collection of generated neurons include motoneurons, Purkinje cells, and hippocampal pyramidal cells. | neuron, morphology, computational neuroanatomy, neuroanatomy, neuronal reconstruction, neuron model, purkinje cell, motor neuron, ca1, ca3, hippocampal pyramidal cell, axon, hippocampus, triceps surae | has parent organization: George Mason University; Virginia; USA | Human Brain Project ; NINDS R01-NS39600-01 |
Acknowledgement requested | nif-0000-10546 | http://krasnow.gmu.edu/cn3/L-Neuron/database/ http://krasnow1.gmu.edu/L-Neuron/L-Neuron/database/ | SCR_007118 | LN Database, L-Neuron Database | 2026-09-19 12:58:39 | 1 | ||||||
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Ancillary Domains Associated With Human and Mouse Proteases Resource Report Resource Website 1+ mentions |
Ancillary Domains Associated With Human and Mouse Proteases (RRID:SCR_008363) | Ancillary domains associated with human and mouse proteases | data or information resource, data set | Domains found in human and mouse proteases colour-coded according to the catalytic class in which they appear. Some of them appear in more than one catalytic group, and two-colours are used. Yellow, aspartyl proteases; blue, cysteine proteases; green, metalloproteases; and red, serine proteases. | protease, ancillary domain, catalytic domain, aspartyl protease, cysteine protease, metalloprotease, serine protease |
is related to: Mammalian Degradome Database has parent organization: University of Oviedo; Oviedo; Spain |
nif-0000-25547 | SCR_008363 | Ancillary Domains | 2026-09-19 12:58:40 | 2 | ||||||||
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National Institutes of Health Stem Cell Tables Resource Report Resource Website |
National Institutes of Health Stem Cell Tables (RRID:SCR_008359) | NIH Stem Cells | data or information resource, data set | Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information. | ectoderm, endoderm, adipocyte, astrocyte, bone marrow, brain, cardiac, chondrocyte, differentiation, germ layer, hematopoietic stem cell, human, liver, mesenchymal stem cell, mesoderm, mouse, muscle, neuron, neuronal, osteoblast, pancreas, plasticity, platelet, red blood cell, skeletal, skin, spinal cord, neural stem cell, tenocyte, tissue, white blood cell, stem cell, multipotent stem cell, pluripotent stem cell, embryonic stem cell, embryonic primordial germ cell, primordial germ cell, neural progenitor cell, mesenchymal progenitor cell | has parent organization: National Institutes of Health | NIH | nif-0000-25459 | http://stemcells.nih.gov/info/scireport/appendixD.asp | SCR_008359 | 2026-09-19 12:58:40 | 0 | |||||||
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Integrated Technology Resource for Biomedical Glycomics Resource Report Resource Website 1+ mentions |
Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) | Integrated Technology Resource for Biomedical Glycomics | biomedical technology research center, training resource | Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses. | systems biology technology center, glycome, cell, glycoproteomics, glycoconjugate analysis, transcript analysis, bioinformatics, glycoprotein, glycolipid, embryonic stem cell, glycosylation, stem cell, glycomics | has parent organization: University of Georgia; Georgia; USA | NCRR ; NIGMS |
nlx_152678 | SCR_009003 | NCRR Integrated Technology Resource for Biomedical Glycomics | 2026-09-19 12:58:41 | 1 |
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