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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GtRNAdb - Genomic tRNA Database Resource Report Resource Website 100+ mentions |
GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) | GtRNAdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies. | trna, trna gene prediction, genome, gene, isotype, genetic locus, blast, secondary structure, sequence alignment, fasta, seq, eukaryotic, microbial, primary sequence, phylogenetic group, FASEB list | has parent organization: University of California at Santa Cruz; California; USA | Hewlett-Packard | PMID:18984615 | nif-0000-02932 | SCR_006939 | Genomic tRNA Database | 2026-09-19 12:51:21 | 381 | ||||||
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Europhenome Mouse Phenotyping Resource Resource Report Resource Website 10+ mentions |
Europhenome Mouse Phenotyping Resource (RRID:SCR_006935) | EuroPhenome | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Open source software system for capturing, storing and analyzing raw phenotyping data from SOPs contained in EMPReSS, it provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centers. Mutants of interest can be identified by searching the gene or the predicted phenotype. You can also access phenotype data from the EMPReSSlim Pipeline for inbred mouse strains. Initially EuroPhenome was developed within the EUMORPHIA programme to capture and store pilot phenotyping data obtained on four background strains (C57BL/6J, C3H/HeBFeJ, BALB/cByJ and 129/SvPas). EUMORPHIA (European Union Mouse Research for Public Health and Industrial Applications) was a large project comprising of 18 research centers in 8 European countries, with the main focus of the project being the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. The current version of EuroPhenome is capturing data from the EUMODIC project as well as the WTSI MGP, HMGU GMC pipeline and the CMHD. EUMODIC is undertaking a primary phenotype assessment of up to 500 mouse mutant lines derived from ES cells developed in the EUCOMM project as well as other lines. Lines showing an interesting phenotype will be subject to a more in depth assessment. EUMODIC is building upon the comprehensive database of standardized phenotyping protocols, called EMPReSS, developed by the EUMORPHIA project. EUMODIC has developed a selection of these screens, called EMPReSSslim, to enable comprehensive, high throughput, primary phenotyping of large numbers of mice. Phenovariants are annotated using a automated pipeline, which assigns a MP term if the mutant data is statistically different to the baseline data. This data is shown in the Phenomap and the mine for a mutant tool. Please note that a statistically significant result and the subsequent MP annotation does not necessarily mean a true phenovariant. There are other factors that could cause this result that have not been accounted for in the analysis. It is the responsibility of the user to download the data and use their expert knowledge or further analysis to decide whether they agree or not. EuroPhenome is primarily based in the bioinformatics group at MRC Harwell. The development of EuroPhenome is in collaboration with the Helmholtz Zentrum Munchen, Germany, the Wellcome Trust Sanger Institute, UK and the Institut Clinique de la Souris, France. | phenotype, gene, mutant mouse strain, inbred mouse strain, annotation, ortholog, high-throughput, phenovariant, disorder, c57bl/6j, c3h/hebfej, balb/cbyj, 129/svpas |
is related to: European Mouse Phenotyping Resource of Standardised Screens is related to: OMIM is related to: Understanding Human Disease Through Mouse Genetics is related to: European Conditional Mouse Mutagenesis Program is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: MRC Mammalian Genetics Unit |
European Union FP6 contract LSHG-CT-2006-037188; MRC ; National Genome Research Network |
PMID:19933761 PMID:17905814 |
Open unspecified license, Acknowledgement requested | nif-0000-30535 | SCR_006935 | 2026-09-19 12:51:21 | 19 | ||||||
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Scalable Brain Atlas Resource Report Resource Website 10+ mentions |
Scalable Brain Atlas (RRID:SCR_006934) | SBA | atlas, data or information resource, reference atlas, service resource, software application, software resource | A web-based, interactive brain atlas viewer, containing a growing number of atlas templates for various species, including mouse, macaque and human. Standard features include fast brain region lookup, point and click to select a region and view its full 3D extent, mark a stereotaxic coordinate and view all regions in a hierarchy. Built-in extensions are the CoCoMac plugin, which provides a spatial display of Macaque connectivity, and a service to transform stereotaxic coordinates to and from the INCF Waxholm space for the mouse. Three dimensional renderings of brain regions are available through a Matlab interface (local installation of Matlab required). The SBA is designed to be customizable. External users can create plugins, hosted on their own servers, to interactively attach images or data to spatial atlas locations. This fully web-based display engine for brain atlases and topologies allows client websites to show brain region related data in a 3D interactive context. Currently available atlases are: * Macaque: The Paxinos Rhesus Monkey atlas (2000) * Macaque: Various templates available through Caret, registered to F99 space: Felleman and Van Essen (1991), Lewis and Van Essen (2000), Regional Map from K��tter and Wanke (2005), Paxinos Rhesus Monkey (2000) * Macaque: The NeuroMaps Macaque atlas (2008) * Mouse: The INCF Waxholm Space for the mouse (2011). Previous versions available. * Mouse: The Allen Mouse Brain volumetric atlas (ABA07) * Human: The LPBA40 parcellation, registered to SRI24 space A variety of services are being developed around the templates contained in the Scalable Brain Atlas. For example, you can include thumbnails of brain regions in your own webpage. Other applications include: * Analyze atlas templates in Matlab * List all regions belonging to the given template * List of supported atlas templates * Find region by coordinate * Color-coded PNG (bitmap) or SVG (vector) image of a brain atlas slice * Region thumbnail in 2D (slice) or 3D (stack of slices) The Scalable Brain Atlas is created by Rembrandt Bakker and Gleb Bezgin, under supervision of Rolf K��tter in the NeuroPhysiology and -Informatics group of the Donders Institute, Radboud UMC Nijmegen. | atlas application, atlas data, image display, javascript, magnetic resonance, os independent, php, three dimensional display, tractography, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CoCoMac is related to: 3DBar has parent organization: International Neuroinformatics Coordinating Facility |
International Neuroinformatics Coordinating Facility | GNU General Public License | nlx_98156 | http://www.nitrc.org/projects/sba | SCR_006934 | INCF Scalable Brain Atlas | 2026-09-19 12:51:21 | 22 | |||||
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AutismKB Resource Report Resource Website 10+ mentions |
AutismKB (RRID:SCR_006937) | AutismKB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities. | gene, copy number variation, linkage region, genome-wide association study, family-based association study, case-control association study, expression profile, blast, syndromic, non-syndromic, snp, vntr, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
Autism spectrum disorder, Autism | Merck ; Johnson and Johnson ; Natural Science Foundation of China 31025014; Natural Science Foundation of China 2011CBA01102 |
PMID:22139918 | biotools:autismkb, nlx_151318 | https://bio.tools/autismkb | SCR_006937 | Autism Knowledgebase | 2026-09-19 12:51:21 | 34 | ||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | data or information resource, database, image collection | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-09-19 12:51:20 | 1 | |||||||
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OBIS Resource Report Resource Website 100+ mentions |
OBIS (RRID:SCR_006933) | OBIS | data or information resource, data repository, database, service resource, storage service resource | Accepts and provides access to biogeographic data collected throughout the global oceans. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations. Created by the Census of Marine Life, OBIS is now part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme | ocean, marine, data set, oceanography, FASEB list | is listed by: CINERGI | The community can contribute to this resource | nlx_154698, r3d100010088 | https://doi.org/10.17616/R33K5G | SCR_006933 | Ocean Biogeographic Information System Marine | 2026-09-19 12:51:21 | 179 | ||||||
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Diabetes Autoantibody Standardization Program Resource Report Resource Website 10+ mentions |
Diabetes Autoantibody Standardization Program (RRID:SCR_006929) | DASP | knowledge environment | Program that develops materials and methods to improve measurements of autoantibodies that are predictive of type 1 diabetes. These are the most sensitive and meaningful measures for predicting this disease. Historically, autoantibody measures have been variable among laboratories; therefore, this program, in collaboration with the Immunology of Diabetes Society, was established. The goals of DASP are to improve laboratory methods, evaluate laboratory performance, support the development of sensitive and specific measurement technologies, and develop reference methods. Currently, 48 key laboratories from 19 countries participate in DASP. | autoantibody, quality assurance, standardization, standard, laboratory method, laboratory performance, measurement, method |
is related to: NIDDK Information Network (dkNET) has parent organization: Centers for Disease Control and Prevention |
Type 1 diabetes, Diabetes | PMID:12716742 | nlx_152868 | http://www.idsoc.org/committees/antibody/dasphome.html | SCR_006929 | Diabetes Autoantibody Standardization Program (DASP) | 2026-09-19 12:51:21 | 14 | |||||
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C. elegans Phenotype Vocabulary Resource Report Resource Website |
C. elegans Phenotype Vocabulary (RRID:SCR_006924) | WB-PHENOTYPE | controlled vocabulary, data or information resource, ontology | A structured controlled vocabulary of Caenorhabditis elegans phenotypes. | obo |
is listed by: BioPortal has parent organization: WormBase |
nlx_157348 | SCR_006924 | 2026-09-19 12:51:21 | 0 | |||||||||
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ABSORB: Atlas Building by Self-Organized Registration and Bundling Resource Report Resource Website 1+ mentions |
ABSORB: Atlas Building by Self-Organized Registration and Bundling (RRID:SCR_007018) | ABSORB | data processing software, image analysis software, registration software, software application, software resource, source code | This software package implements an algorithm for effective groupwise registration. The required input is a set of 3D MR intensity images (in Analyze format with paired .hdr and .img files) with a text file (.txt) listing all header file (.hdr) names. The output is the set of registered images together with the corresponding dense deformation fields. This software has been tested on Windows XP (32-bit) and Linux (64-bit, kernel version 2.6.18-194.el5). The images should be pre-processed before applying ABSORB: * All brain MR images used as inputs to ABSORB should be in the same situation (e.g., skull-stripped or not, cerebellum removed or not, etc.). * The input images should be in Analyze format with paired header and image files. This software was developed in IDEA group in UNC-Chapel Hill. | image, registration, bundling, atlas, magnetic resonance, algorithm or reusable library, intermodal, intersubject, intrasubject, image-to-template, affine warp, nonlinear warp |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
PMID:20226255 | Free, Public | nlx_144409 | http://www.nitrc.org/projects/absorb | SCR_007018 | ABSORB: Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration and Bundling | 2026-09-19 12:51:23 | 1 | |||||
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Image Workflow Resource Report Resource Website |
Image Workflow (RRID:SCR_007017) | Image Workflow | data processing software, image analysis software, registration software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. Software to support registering brain images to the stereotaxic coordinate system of a brain atlas. It was specifically designed to work with the large scale brain mosaics. When data are uploaded to the CCDB, users may launch Jibber, a custom tool for defining correspondence points between the image and an atlas overlay. Jibber automatically downsamples the data, so that users can define the warping and scaling parameters with good interactive performance on the smaller copy. Once the warping transformation is computed, the original image and the transformation matrix are sent to a cluster of computers for warping. The current version of Jetsam is running on a 30 Sun V20 nodes and the execution time is roughly about 20 minutes per GB. The warped images are then automatically registered with an image web server that supports spatial queries based on stereotaxic coordinates. These servers generate optimized downsampled images, which can be displayed by standard online clients regardless of the size of the original image. | brain, image | has parent organization: Cell Centered Database | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156721 | SCR_007017 | 2026-09-19 12:51:23 | 0 | ||||||||
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Jinx Resource Report Resource Website 1+ mentions |
Jinx (RRID:SCR_007012) | Jinx | data processing software, image analysis software, segmentation software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 2, 2019. Ontology-based segmentation and analysis tools for electron tomographic data. | electron tomography |
is related to: Subcellular Anatomy Ontology has parent organization: Cell Centered Database |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156722 | SCR_007012 | 2026-09-19 12:51:22 | 5 | ||||||||
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Matlab Neuroshare Library Resource Report Resource Website |
Matlab Neuroshare Library (RRID:SCR_006957) | NeuroshareLibrary | software library, software resource, software toolkit | This is MATLAB library to create Neuroshare data format. You can convert your own data into Neuroshare format file. | console (text based), eeg, meg, electrocorticography, format conversion, japanese, linux, macos, matlab, microsoft, posix/unix-like, windows, neuroshare, data format, data sharing |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: ATR; Kyoto; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | GNU General Public License | nlx_155880 | http://www.nitrc.org/projects/nslib_v1_3_1 | SCR_006957 | Neuroshare Library | 2026-09-19 12:51:21 | 0 | |||||
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The WWW Virtual Library: Model Organisms Resource Report Resource Website |
The WWW Virtual Library: Model Organisms (RRID:SCR_007007) | data or information resource, portal, topical portal | Catalog of internet resources relating to biological model organisms, and is part of the Biosciences area of the Virtual Library project. The main Model Organisms Library discussed in this website are: * E. coli (bacterium) * Yeasts (Saccharomyces cerevisiae, and other species) * Dictyostelium discoideum (slime mold) * Drosophila melanogaster (fruit fly) * Xenopus laevis (African clawed frog) Many aspects of biology are similar in most or all organisms, but it is frequently much easier to study particular aspects in particular organisms - for instance, genetics is easier in small organisms that breed quickly, and very difficult in humans! The most popular model organisms have strong advantages for experimental research, and become even more useful when other scientists have already worked on them, discovering techniques, genes and other useful information. | bacterium, cerevisiae, model organism, saccharomyces, s. cerevisiae, slime mold, xenopus, catalog, link aggregator | is listed by: 3DVC | nif-0000-20953 | SCR_007007 | VL | 2026-09-19 12:51:22 | 0 | |||||||||
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MetMap Resource Report Resource Website 1+ mentions |
MetMap (RRID:SCR_006954) | MetMap | software resource | A computational pipeline for the analysis of MethylSeq experiments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. |
is listed by: OMICtools has parent organization: University of California at Berkeley; Berkeley; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00618 | SCR_006954 | 2026-09-19 12:51:21 | 9 | |||||||||
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Comparative Sequencing of Plant Small RNAs Resource Report Resource Website 1+ mentions |
Comparative Sequencing of Plant Small RNAs (RRID:SCR_007003) | analysis service resource, data analysis service, data or information resource, data set, production service resource, service resource | This project has developed a sequence dataset of plant small RNAs based on the hypothesis that most if not all plants utilize important small RNA signaling networks. Different plant families are likely to have both common and lineage-specific miRNAs or other small RNAs with important biological roles. Comparative genomics approaches can be applied to distinguish potential miRNAs from siRNAs and to match the miRNAs to the target sequences. This project develops an unparalleled resource of millions of plant small RNAs for comparative analyses. The project includes sequencing of small RNAs from a diverse and agronomically-relevant set of plant species, focused analyses of important members of the Solanaceae and Poaceae, and development of a small RNA database and web interface for public access and analysis of data. These data will allow the experimental characterization of the majority of biologically important small RNAs for a range of plant species, and will be tremendously useful to a broad set of plant biologists interested in development, stress responses, epigenetics, evolution, RNA biology and other traits impacted by small RNAs. We offer a variety of tools to query the small RNA data set, with options to identify sequences based on homology, expression levels, conservation, or potential function: 1. Small RNA mapping tool: searches for small RNAs perfectly matching a genomic sequence provided by the user. 2. Small RNA mismatch tool: searches the database for small RNAs or other short sequences provided by the user, allowing mismatches. 3. Library-comparison tool to identify conserved small RNAs. 4. Library-comparison tool to identify differentially regulated small RNAs. 5. Reverse Target Prediction. | has parent organization: University of Delaware; Delaware; USA | NSF 0638525 | nlx_37749 | SCR_007003 | 2026-09-19 12:51:22 | 1 | ||||||||||
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Myrna Resource Report Resource Website 1+ mentions |
Myrna (RRID:SCR_006951) | Myrna | software resource | A cloud computing tool for calculating differential gene expression in large RNA-seq datasets. It uses Bowtie for short read alignment and R/Bioconductor for interval calculations, normalization, and statistical testing. These tools are combined in an automatic, parallel pipeline that runs in the cloud (Elastic MapReduce in this case) on a local Hadoop cluster, or on a single computer, exploiting multiple computers and CPUs wherever possible. | mapreduce, hadoop, cloud computing, differential expression, gene expression, rna-seq, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets has parent organization: Johns Hopkins University; Maryland; USA |
PMID:20701754 | Artistic License | OMICS_01310, biotools:myrna | https://github.com/BenLangmead/myrna, https://bio.tools/myrna | SCR_006951 | Myrna: Cloud-scale differential gene expression for RNA-seq | 2026-09-19 12:51:21 | 2 | |||||
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CCDB Image Converter Resource Report Resource Website |
CCDB Image Converter (RRID:SCR_007005) | Image Converter | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. A command line program in Unix to convert images to a variety of formats (PNG, TIFF, JPEG, PPM..etc). It is uniquely different from other programs such as Adobe Photoshop or ImageMagick because it is designed for dealing with the high-resolution images with file sizes of several gigabytes. Image Converter does not require any additional RAM or virtual memory to run. Also, run-time is relatively fast for high resolution data. | image | has parent organization: Cell Centered Database | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156720 | SCR_007005 | 2026-09-19 12:51:22 | 0 | ||||||||
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Minnesota Center for Twin and Family Research Resource Report Resource Website 1+ mentions |
Minnesota Center for Twin and Family Research (RRID:SCR_006948) | MCTFR | data or information resource, disease-related portal, portal, research forum portal, topical portal | Composed of many projects, including the Minnesota Twin Family Study (MTFS) and The Sibling Interaction and Behavior Study (SIBS), this research center seeks to identify genetic and environmental influences on development and psychological traits. Both projects are longitudinal research studies including twins, siblings, and parents. Over 9800 individuals have contributed to these exciting projects! By studying twins and siblings and their families, we can estimate how genes and environment interact to influence character, strengths, vulnerabilities and values. Participants in the MTFS include families with same-sex identical or fraternal twins who were born in Minnesota. The SIBS study is comprised of adoptive and biological siblings and their parents. Most participants partake in day-long visits to the MCTFR, and due to the longitudinal nature of our projects, they return every 3-4 years for follow-up visits. | longitudinal study, clinical study, twin, sibling, parent, longitudinal, gene, environment, adolescent, development, behavior, dna | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | Identical twin, Fraternal twin, Sibling, Parent, Twin | NIH | nlx_151990 | SCR_006948 | SIBS, Minnesota Twin Study, MTFS, Sibbling Interaction and Behavior Study, Minnesota Twin Family Study | 2026-09-19 12:51:21 | 3 | ||||||
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SimSeq Resource Report Resource Website 10+ mentions |
SimSeq (RRID:SCR_006947) | SimSeq | simulation software, software application, software resource | An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries . | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
Free | biotools:simseq, OMICS_00258 | https://bio.tools/simseq | SCR_006947 | 2026-09-19 12:51:21 | 30 | |||||||
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bioDBcore Resource Report Resource Website 1+ mentions |
bioDBcore (RRID:SCR_002781) | BioDBCore | data or information resource, database, narrative resource, standard specification | A community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with the BioSharing forum. A catalogue of databases, described according to the BioDBcore guidelines, along with the standards used within them have been partly compiled with the support of Oxford University Press and Re3Data.org. Database providers are encouraged to either create or claim their BioDBCore entry and update it as appropriate., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | resource representation, resource ontology, database, interoperability, semantic standard, syntactic standard, biological database, model |
is used by: NIF Data Federation is listed by: 3DVC is listed by: Biositemaps is related to: FAIRsharing is related to: Biocatalogue - The Life Science Web Services Registry is related to: BioGPS: The Gene Portal Hub is related to: Bioinformatics Links Directory is related to: Biomedical Resource Ontology is related to: EDAM Ontology is related to: MIRIAM: Minimal Information Required In the Annotation of Models is related to: SciCrunch Registry is related to: PathGuide: the pathway resource list is related to: Integrated Manually Extracted Annotation has parent organization: University of Oxford; Oxford; United Kingdom |
PMID:21205783 PMID:21097465 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24395 | SCR_002781 | 2026-09-19 12:50:09 | 2 |
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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.
