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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Adaptive Poisson-Boltzmann Solver Resource Report Resource Website 50+ mentions |
Adaptive Poisson-Boltzmann Solver (RRID:SCR_008387) | APBS | software resource | APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods. | software package, modeling, biomolecular, electrostatic, molecular, dynamics, binding energy, equilibrium, protein, ligand, solvation, kinetics, simulation, finite element |
is listed by: 3DVC is related to: Finite Element Toolkit has parent organization: Washington University in St. Louis; Missouri; USA |
IBM/American Chemical Society ; NPACI/San Diego Supercomputer Center ; W. M. Keck Foundation ; National Biomedical Computation Resource ; NSF ; NIH |
nif-0000-30035 | SCR_008387 | 2026-09-12 12:57:03 | 51 | ||||||||
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Jackal Resource Report Resource Website 10+ mentions |
Jackal (RRID:SCR_008665) | software resource | Jackal is a collection of programs designed for the modeling and analysis of protein structures. Its core program is a versatile homology modeling package. It contains twelve individual programs, each with their own function. | software, software repository, modeling, analysis, protein structure |
has parent organization: Columbia University; New York; USA has parent organization: Howard Hughes Medical Institute |
NSF DBI-9904841; NIGMS 5 R37 GM30518 |
Public, Free | nif-0000-33373 | SCR_008665 | 2026-09-12 12:57:07 | 14 | ||||||||
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Protein Subcellular Location Image Database Resource Report Resource Website |
Protein Subcellular Location Image Database (RRID:SCR_008663) | PSLID | data or information resource, data repository, data set, database, image analysis service, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017. Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging. |
protein, structure, subcellular, organelle, image, fluorescence microscope, annotation, classify, rank, cluster, subcellular localization, 3d spatial image, 2d spatial image, micrograph, content-based retrieval, green fluorescent protein |
is listed by: 3DVC is listed by: Biositemaps has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Merck Company Foundation ; NIGMS GM075205; NCI R33 CA83219; NSF MCB-8920118 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33313 | SCR_008663 | PSLID - Protein Subcellular Location Image Database, Protein Subcellular Location Image Database | 2026-09-12 12:57:07 | 0 | ||||||
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Eukaryote Genes Resource Report Resource Website 10+ mentions |
Eukaryote Genes (RRID:SCR_008617) | data or information resource, database | Provides summary of gene and genomic information from eukaryotic organism databases. This includes gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information, links to extended gene information. | eukaryote, eukaryotic gene ontology, eukaryotic genome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Indiana University; Indiana; USA |
Indiana University Center for Genomics and Bioinformatics ; NSF DBI 0090782; NSF DBI 9982851 |
Free, Freely available | nif-0000-31969, biotools:eugenes, SCR_013197, nif-0000-02818 | https://bio.tools/eugenes | SCR_008617 | euGenes | 2026-09-12 12:57:06 | 17 | ||||||
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MaizeGDB Resource Report Resource Website 1000+ mentions |
MaizeGDB (RRID:SCR_006600) | MaizeGDB | analysis service resource, data analysis service, data or information resource, data repository, database, organism-related portal, portal, production service resource, service resource, storage service resource, topical portal | Collection of data related to crop plant and model organism Zea mays. Used to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models and to provide support services to the community of maize researchers. Data stored at MaizeGDB was inherited from the MaizeDB and ZmDB projects. Sequence data are from GenBank. Data are searchable by phenotype, traits, Pests, Gel Pattern, and Mutant Images. | zea mays, corn, model organism, genome, locus, metabolic pathway, genetics, genomics, sequence, gene product, function, literature reference, phenotype, trait, pest, gel pattern, mutant, blast, gene, image, corn, genotype-environment interaction, gene mapping, plant genome mapping, plant genome, gold standard, bio.tools, FASEB list |
is listed by: re3data.org is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GenBank has parent organization: University of Maryland; Maryland; USA works with: Maize Database of Images and Genomes |
National Corn Growers Association ; NSF ; USDA/ARS ; USDA |
PMID:21624896 PMID:18769488 PMID:15888678 PMID:14681441 |
Free, Freely available, Acknowledgement requested, The community can contribute to this resource | OMICS_01655, biotools:MaizeDIG, nif-0000-03096, r3d100010795 | https://bio.tools/MaizeDIG, https://doi.org/10.17616/R3V32B | SCR_006600 | Maize Genetics and Genomics Database, MaizeGDB, MaizeGDB Locus | 2026-09-12 12:56:42 | 1047 | ||||
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UNAVCO Resource Report Resource Website 10+ mentions |
UNAVCO (RRID:SCR_006706) | UNAVCO | consortium, data or information resource, organization portal, portal | A non-profit university-governed consortium that facilitates geoscience research and education using geodesy. It rovides access to and submission of Geodetic GPS / GNSS Data, Geodetic Imaging Data, Strain and Seismic Borehole Data, and Meteorological Data. Data access web services/API provides the ability to use a command line interface to query metadata and obtain URLs to data and products. UNAVCO also provides a variety of software, including web applications, and desktop utilities for scientists, instructors, students, and others. Web-based data visualization and mapping tools provide users with the ability to view postprocessed data while web-based geodetic utilities provide ancillary information. Downloadable stand-alone software utilities include applications for configuring instruments, managing data collection, download and transfer, and performing computations on the raw data, e.g., data pre-processing or processing. The UNAVCO Facility in Boulder, Colorado is the primary operational activity of UNAVCO and exists to support university and other research investigators in their use of geophysical sensor technology for Earth sciences research. The Facility performs this task in part by archiving GNSS/GPS data and data products for current and future applications. Other data types that scientists use for Earth deformation studies are also held in the UNAVCO Archive collections. UNAVCO operates a community Archive, which provides long-term secure storage and easy retrieval of GNSS data, strain data, various derived products and related metadata. The Archive primarily stores high-precision geodetic data used for research purposes, collected under National Science Foundation and NASA sponsored projects. UNAVCO provides many learning opportunities including: Short Courses and Workshops, Educational Resources, RESESS Research Student Internships, and Technical Training. | gps, geodesy, motion, rock, ice, water, earth surface, gnss, geoscience, geophysical survey, geophysical observatory, geophysical instrument, earth sciences, global positioning system, data archive, geology, geological mapping |
is listed by: re3data.org is listed by: CINERGI is parent organization of: UNAVCO Geodetic Web Services |
NSF ; NASA |
The community can contribute to this resource | ISNI: 0000 0004 0505 9642, Wikidata: Q7865191, grid.239102.b, nlx_154719 | https://ror.org/02n9tn974 | SCR_006706 | University NAVSTAR Consortium | 2026-09-12 12:56:44 | 32 | |||||
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Marine Geosciences Data System MediaBank Resource Report Resource Website |
Marine Geosciences Data System MediaBank (RRID:SCR_006875) | MediaBank | data or information resource, data repository, image repository, service resource, storage service resource, video resource | A collection of high-quality images and videos for education and outreach from the Integrated Earth Data Applications Facility. Albums include: Ridge2000, MARGINS, GeoMapApp, GeoPRISMS, Antarctic and Southern Ocean, Global Multi-Resolution Topography. To contribute your media to Media Bank, you are asked to supply metadata with each image/video supplied. | image collection, bathymetry, biology, chemistry, geology, geophysics, hydrothermal vent, instrumentation, photomosaic, physical oceanography, satellite imagery |
is listed by: CINERGI has parent organization: Columbia University; New York; USA |
NSF | Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | nlx_154726, r3d100012549 | https://doi.org/10.17616/R3VR4N | SCR_006875 | Media Bank | 2026-09-12 12:56:47 | 0 | |||||
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eXpress Resource Report Resource Website 100+ mentions |
eXpress (RRID:SCR_006873) | eXpress | data analysis software, data processing software, sequence analysis software, software application, software resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented January 29, 2018. From website: "Note that the eXpress software is also no longer being developed. We recommend you use kallisto instead." Kallisto can be found at http://pachterlab.github.io/kallisto/. Software for streaming quantification for high-throughput DNA/RNA sequencing. Can be used in any application where abundances of target sequences need to be estimated from short reads sequenced from them. |
quantification, high-throughput, DNA, RNA, sequencing, target, fragment, analysis |
is listed by: OMICtools is listed by: Debian has parent organization: University of California at Berkeley; Berkeley; USA |
NHGRI R01HG006129; NSF |
DOI:10.1038/nmeth.2251 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_015990, OMICS_01275 | https://sources.debian.org/src/berkeley-express/ | SCR_006873 | eXpress - Streaming quantification for high-throughput sequencing, Berkeley-express | 2026-09-12 12:56:47 | 495 | ||||
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SVM-fold: Protein Fold Prediction Resource Report Resource Website |
SVM-fold: Protein Fold Prediction (RRID:SCR_006834) | SVM-fold | service resource | This web server makes predictions of family, superfamily and fold level classifications of proteins based on the Structural Classification of Proteins (SCOP) hierarchy using the Support Vector Machine (SVM) learning algorithm. SVM-FOLD detects subtle protein sequence similarities by learning from all available annotated proteins, as well as utilizing potential hits as identified by PSI-BLAST. Predictions of classes of proteins that do not have any known example with a significant pairwise PSI-BLAST E-value can still be found using SVMs. | has parent organization: University of Washington; Seattle; USA | NIGMS GM74257-01; NSF EIA-0312706 |
nlx_17631 | http://svm-fold.c2b2.columbia.edu/ | SCR_006834 | SVM-fold, Support Vector Machine fold | 2026-09-12 12:56:46 | 0 | |||||||
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Summer School in Computational Sensory-Motor Neuroscience Resource Report Resource Website 1+ mentions |
Summer School in Computational Sensory-Motor Neuroscience (RRID:SCR_006894) | CoSMo 2012 | data or information resource, short course, training resource | This unique summer school focuses on computational techniques integrating the multi-disciplinary nature of sensory-motor neuroscience through combined empirical-theoretical teaching modules and a focus on the use of databases of movement data (NSF CRCNS). Major breakthroughs in brain research have been achieved through computational models. The goal of the Summer School in Computational Sensory-Motor Neuroscience is to provide cross-disciplinary training in mathematical modelling techniques relevant to understanding brain function, dysfunction and treatment. In a unique approach bridging experimental research, clinical pathology and computer simulations, students will learn how to translate ideas and empirical findings into mathematical models. Students will gain a profound understanding of the brain''s working principles and diseases using advanced modelling techniques in hands-on simulations of models during tutored sessions by making use of data / model sharing. This summer school aims at propelling promising students into world-class researchers. Dates: August 5-19, 2012 Location: Northwestern University Chicago (Evanston campus), Illinois, USA Deadlines: * April 22, 2012: Application due, including letters of reference (extended!!!) * May 1, 2012: Notification of acceptance * May 20, 2012: Attendance confirmation of applicants and registration payment This summer school is directed at graduate students and post-doctoral fellows from multi-disciplinary backgrounds, including Life Sciences, Psychology, Computer Science, Mathematics and Engineering. We will also accept highly motivated outstanding under-graduate students. There are no formal prerequisites, but basic knowledge in calculus, linear algebra, neuroscience and the Matlab simulation environment is expected. Enrollment will be limited to 40 participants. | computational, sensory-motor, neuroscience, summer school, graduate student, postdoctoral fellow, undergraduate | has parent organization: Northwestern University; Illinois; USA | Canadian Action and Perception Network ; NSF ; NeuroDevNet ; NSERC Collaborative Research and Training Experience ; McGill Centre for Applied Mathematics in Bioscience and Medicine ; Mitacs ; Natural Sciences and Engineering Research Council of Canada |
nlx_144614 | SCR_006894 | 2012 Summer School in Computational Sensory-Motor Neuroscience | 2026-09-12 12:56:47 | 1 | |||||||
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DynGO Resource Report Resource Website 1+ mentions |
DynGO (RRID:SCR_007009) | DynGO | software resource | DynGO is a client-server application that provides several advanced functionalities in addition to the standard browsing capability. DynGO allows users to conduct batch retrieval of GO annotations for a list of genes and gene products, and semantic retrieval of genes and gene products sharing similar GO annotations (which requires more disk and memory to handle the semantic retrieval). The result are shown in an association tree organized according to GO hierarchies and supported with many dynamic display options such as sorting tree nodes or changing orientation of the tree. For GO curators and frequent GO users, DynGO provides fast and convenient access to GO annotation data. DynGO is generally applicable to any data set where the records are annotated with GO terms, as illustrated by two examples. Requirements: Java Platform: Windows compatible, Linux compatible, Unix compatible | gene, annotation, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
NSF IIS-0430743 | PMID:16091147 | Free for academic use | nlx_149118 | http://gauss.dbb.georgetown.edu/liblab | SCR_007009 | DynGO: a tool for visualizing and mining of Gene Ontology and its associations | 2026-09-12 12:56:49 | 6 | ||||
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Rankprop - Protein Ranking by Network Propagation Resource Report Resource Website |
Rankprop - Protein Ranking by Network Propagation (RRID:SCR_007159) | data access protocol, service resource, software resource, source code, web service | 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 on May,18,2020. Ranking algorithm that exploits global network structure of similarity relationships among proteins in database by performing diffusion operation on protein similarity network with weighted edges. Source code and web server for searching non-redundant protein database. Web server ranks proteins found in NRDB40 (from PairsDB) against query sequence of amino acids using Rankprop algorithm. | Ranking algorithm, network structure, protein database, similarity relationship, protein similarity network, weighted adges, non redundat protein database, protein database search | has parent organization: University of Washington; Seattle; USA | NIGMS GM74257; NSF DBI-0243257; NSF EIA-0312706 |
PMID:16723003 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_50351 | http://rankprop.gs.washington.edu/info.php | SCR_007159 | Rankprop | 2026-09-12 12:56:50 | 0 | |||||
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Computational Neuroanatomy Group Resource Report Resource Website |
Computational Neuroanatomy Group (RRID:SCR_007150) | CNG | data or information resource, portal, software resource, topical portal | Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate. | dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, morphology, network connectivity, basal ganglia, modeling software, hippocampus, hermissenda learning, caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, ca3 pyramidal cell, arborvitae, ca1 pyramidal cell, polymorphic cell, dg granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, ca3, ca1 pyramidal neuron, digital morphological reconstruction, digital reconstruction, dendrite, axon, neuronal tree, signaling pathway |
has parent organization: George Mason University: Krasnow Institute for Advanced Study is parent organization of: L-Measure is parent organization of: Hippocampus 3D Model |
NINDS ; NIMH ; NSF ; Human Brain Project |
nif-0000-00503 | http://krasnow.gmu.edu/cn3/index3.html | SCR_007150 | Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study | 2026-09-12 12:56:50 | 0 | ||||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-12 12:56:57 | 7 | |||||
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Datamonkey Resource Report Resource Website 1000+ mentions |
Datamonkey (RRID:SCR_010278) | data access protocol, software resource, source code, web service | Web-based suite of phylogenetic analysis tools for use in evolutionary biology. Web application for comparative analysis of sequence alignments using statistical models. Used for analyzing evolutionary signatures in sequence data. Datamonkey 2.0 provides curated collection of methods for interrogating coding-sequence alignments for imprints of natural selection, packaged as a responsive (i.e. can be viewed on tablet and mobile devices), fully interactive, and API-enabled web application. | comparative analysis of sequence alignments, analyzing evolutionary signatures, sequence data, | has parent organization: University of California at San Diego; California; USA | Canadian Institutes of Health Research ; NIAID AI43638; NIAID AI47745; NIAID AI57167; NIGMS R01 GM093939; NIGMS U01 GM110749; NSF ; University of California at San Diego |
PMID:15713735 PMID:20671151 PMID:29301006 |
Free, Available for download, Freely available | nlx_156937 | https://github.com/veg/datamonkey-js | SCR_010278 | , Datamonkey 2.0, datamonkey.org | 2026-09-12 12:57:16 | 1260 | |||||
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InterNano Nanomanufacturing Taxonomy Resource Report Resource Website 1+ mentions |
InterNano Nanomanufacturing Taxonomy (RRID:SCR_010346) | InterNano | controlled vocabulary, data or information resource, ontology | A custom-built terminology to describe the nanomanufacturing enterprise. | owl | is listed by: BioPortal | NSF CMMI-1025020 | nlx_157442 | SCR_010346 | 2026-09-12 12:57:17 | 1 | ||||||||
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ACADIS Gateway Resource Report Resource Website |
ACADIS Gateway (RRID:SCR_010473) | ACADIS Gateway | data or information resource, data repository, database, service resource, storage service resource | A repository and data management services for Arctic research data. Data include long-term observational timeseries, local, regional, and system-scale research from many diverse domains. | arctic region, permafrost, oceanography, cryosphere, sea ice, arctic people, atmosphere, remote sensing, biogeochemistry, glacier, physical sciences, arctic, agriculture, atmosphere, biological classification, biosphere, climate indicator, cryosphere, human dimension, land surface, ocean, paleoclimate, solid earth, terrestrial hydrosphere |
is listed by: re3data.org has parent organization: National Snow and Ice Data Center |
NSF | nlx_157746, r3d100010964 | SCR_010473 | ACADIS Gateway - An Arctic Data Repository, Advanced Cooperative Arctic Data and Information Service (ACADIS) Gateway, Advanced Cooperative Arctic Data and Information Service Gateway | 2026-09-12 12:57:20 | 0 | |||||||
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Phylogeny Programs Resource Report Resource Website 10+ mentions |
Phylogeny Programs (RRID:SCR_010797) | Phylogeny Programs | analysis service resource, data analysis service, data or information resource, portal, production service resource, service resource, software resource, topical portal | 392 phylogeny software packages and 54 free web servers describing all known software for inferring phylogenies (evolutionary trees). Submissions are welcome. Programs are listed by methods available, by computer systems on which they work, cross-referenced by method and by computer system, by ones which analyze particular kinds of data, to show the most recent listings, or to show ones most recently changed. | phylogeny |
is listed by: OMICtools has parent organization: University of Washington; Seattle; USA |
NSF | Free, The community can contribute to this resource | OMICS_00219 | SCR_010797 | Felsenstein''s website | 2026-09-12 12:57:23 | 13 | ||||||
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SoyDB Resource Report Resource Website 10+ mentions |
SoyDB (RRID:SCR_010900) | SoyDB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A Knowledge Database of Soybean Transcription Factors. PSI-BLAST is available to find hits from the database. | transcription factor, blast, amino acid sequence, predicted tertiary structure, dna binding site, domain prediction, homologous protein, protein family classification, multiple sequence alignment, dna binding motif, protein family |
is listed by: OMICtools has parent organization: University of Missouri; Missouri; USA |
NSF | PMID:20082720 | Free, Public | OMICS_00563 | SCR_010900 | SoyDB: A Knowledge Database of Soybean Transcription Factors | 2026-09-12 12:57:25 | 10 | |||||
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Paleobiology Database Resource Report Resource Website 100+ mentions |
Paleobiology Database (RRID:SCR_003798) | PBDB | data or information resource, data repository, database, service resource, storage service resource | A non-governmental, non-profit public database for paleontological data providing researchers and the public with information about the entire fossil record. It has been organized and operated by a multi-disciplinary, multi-institutional, international group of paleobiological researchers. Its purpose is to provide global, collection-based occurrence and taxonomic data for organisms of all geological ages, as well data services to allow easy access to data for independent development of analytical tools, visualization software, and applications of all types. The Database's broader goal is to encourage and enable data-driven collaborative efforts that address large-scale paleobiological questions. Paleontological data files are accepted for upload. However, PaleoBioDB needs some basic data types to be included in order to perform an upload. The Application Programming Interface (API) gives scientists, students, and developers programmatic access to taxonomic, spatial, and temporal data contained within the database. | paleontology, taxonomy, web service, visualization, FASEB list | is used by: Vertebrate Taxonomy Ontology | NSF EAR 0949416; NSF ICER 1540929; NSF ICER 1540997; NSF DUE 1504718; NCEAS ; Australian Research Council |
The community can contribute to this resource | r3d100012690, nlx_158095 | https://doi.org/10.17616/R31NJMAA | SCR_003798 | PaleoBioDB, PaleoDB | 2026-09-12 12:56:02 | 201 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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