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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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QGene Resource Report Resource Website 100+ mentions |
QGene (RRID:SCR_003209) | QGene | simulation software, data processing software, source code, data analysis software, software resource, software application | A free, open-source, computationally efficient Java program for comparative analyses of QTL mapping data and population simulation that runs on any computer operating system. (entry from Genetic Analysis Software) It is written with a plug-in architecture for ready extensibility. The software accommodates line-cross mating designs consisting of any arbitrary sequence of selfing, backcrossing, intercrossing and haploid-doubling steps that includes map, population, and trait simulators; and is scriptable. Source code is available on request. | gene, genetic, genomic, java, qtl mapping, trait analysis, trait, population, simulation, map, quantitative trait locus, comparison, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Kansas State University; Kansas; USA |
NSF DBI 0109879; USDA-NRI Applied Plant Genomics Program 2004-35317-14867 |
PMID:18940826 | Free, Available for download, Freely available | biotools:qgene, nif-0000-31383 | https://bio.tools/qgene | http://coding.plantpath.ksu.edu/qgene | SCR_003209 | QGene - Software for QTL data exploration | 2026-08-04 09:40:51 | 126 | |||
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Paleobiology Database Resource Report Resource Website 100+ mentions |
Paleobiology Database (RRID:SCR_003798) | PBDB | storage service resource, data repository, service resource, database, data or information 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 | 2026-08-04 09:40:59 | 173 | |||||
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Foldit Resource Report Resource Website 10+ mentions |
Foldit (RRID:SCR_003788) | Foldit | portal, software resource, community building portal, data or information resource | Foldit is a revolutionary new multiplayer online computer game that engages non-scientists in solving hard prediction problems, enabling you to contribute to important scientific research. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. Here are the basic principles to keep in mind when folding proteins. Your score on each protein is based on how well you do with these three things: # Pack the protein: The smaller the protein, the better. More precisely, you want to avoid empty spaces (voids) in the structure of the protein where water molecules can get inside. So you want the atoms in the protein to be as close together as possible. Certain structures, such as sheets, will even connect together with hydrogen bonds if you line them up right and get them close together. This is also good. Key word: Compact. # Hide the hydrophobics: Hydrophobics are the sidechains that don't want to be touching water, just like oil or wax. Since most proteins float around in water, you want to keep the hydrophobics (orange sidechains) surrounded by as many atoms as possible so the water won't get to them. The other side of this rule is that hydrophilics (blue sidechains) do want to be touching water, so they should be exposed as much as possible. Key word: Buried. # Clear the clashes: Two atoms can't occupy the same space at the same time. If you've folded a protein so two sidechains are too close together, your score will go down a lot. This is represented by a red spiky ball (clash) where the two sidechains are intersecting. If there are clashes, you know something is wrong with your protein. So make sure everything is far enough apart. Key word: Apart. The current series of Science Puzzles, the Grand Challenges, are meant to generate the evidence needed to prove that human protein folders can be more effective than computers at certain aspects of protein structure prediction. That's what all the puzzles in Foldit are about right now: predicting the structure of a protein based on its amino acid sequence. The three rules mentioned above describe the characteristics of correct protein structures. | crowd-source | has parent organization: University of Washington; Seattle; USA | Howard Hughes Medical Institute ; Microsoft ; NVIDIA ; NSF IIS0811902; NSF 0906026; DARPA N00173-08-1-G025 |
PMID:20686574 | nlx_143530 | SCR_003788 | Fold It, Foldit: Solve Puzzles for Science | 2026-08-04 09:40:59 | 28 | ||||||
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VIROME Resource Report Resource Website 10+ mentions |
VIROME (RRID:SCR_004362) | VIROME | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | A web-application designed for scientific exploration of metagenome sequence data collected from viral assemblages occurring within a number of different environmental contexts. The VIROME informatics pipeline focuses on the classification of predicted open-reading frames (ORFs) from viral metagenomes. The portal allows you to submit your viral metagenome to be processed through the VIROME analysis pipeline, and enable you to investigate your data via the VIROME user interface., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | open-reading frame, metagenome, virus, environment, sequence, library, genetic, polymorphism, orfan, environmental sequencing, shotgun metagenomics, viral ecology, function, taxonomy, peptide, blast |
is listed by: OMICtools is related to: UniRef is related to: CAMERA is related to: Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis has parent organization: University of Delaware; Delaware; USA has parent organization: University of Maryland School of Medicine; Maryland; USA |
Gordon and Betty Moore Foundation ; NSF award 0959894 |
PMID:23407591 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01506 | SCR_004362 | Viral Informatics Resource for Metagenome Exploration, Viral Informatics Resource for Metagenome Exploration - VIROME | 2026-08-04 09:41:08 | 22 | |||||
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VAMPS Resource Report Resource Website 10+ mentions |
VAMPS (RRID:SCR_004483) | VAMPS | data analysis service, analysis service resource, storage service resource, data repository, production service resource, service resource, database, data or information resource | A publicly-accessible website to measure and visualize similarities and differences between molecular profiles of complex microbial communities. The project includes visualization tools such as heat maps that simultaneously compare the taxonomic distributions of multiple datasets and 3-D charts of the frequency distributions of 16S rRNA tags. Analytical tools include Chao diversity estimates and rarefaction curves. As a service to the community, researchers have the opportunity to upload their own data to the site for private viewing with the full range of data and analysis tools. Public data can be downloaded for further analysis locally. |
is listed by: OMICtools has parent organization: Marine Biological Laboratory |
Alfred P. Sloan Foundation ; NSF ; NASA Astrobiology Institute |
PMID:24499292 | Public, The community can contribute to this resource | OMICS_01501 | SCR_004483 | VAMPS Project, Visualization and Analysis of Microbial Population Structure | 2026-08-04 09:41:10 | 28 | ||||||
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Marine Geoscience Data System Resource Report Resource Website 10+ mentions |
Marine Geoscience Data System (RRID:SCR_002164) | MGDS | storage service resource, data repository, service resource | Repository providing free access to marine geophysical data (e.g. bathymetry, seismic data, magnetics, gravity, images) and related land-based data from NSF-funded research conducted throughout the global oceans. Data Portals include GeoPRISMS, MARGINS, Ridge 2000, Antarctic and Southern Ocean Data Synthesis, the Global Multi-Resolution Topography Synthesis, and Seismic Reflection Field Data Portal. Primary data types served are multibeam bathymetric data from the ocean floor, seismic reflection data imaging below the seafloor, and multi-disciplinary ship based data from the Southern Ocean. Other holdings include deep-sea photographic transects, and ultra-high resolution bathymetry, temperature probe data, biological species compilations, MAPR and CTD data. Derived data products and sets include microseismicity catalogs, images, visualization scenes, magnetic and gravity compilations, grids of seismic layer thickness, velocity models, GIS project files, and 3D visualizations. Tools to discover, explore, and visualize data are available. They deliver catalogs, maps, and data through standard programmatic interfaces. GeoMapApp, a standalone data visualization and analysis tool, permits dynamic data exploration from a map interface and the capability to generate and download custom grids and maps and other data. Through GeoMapApp, users can access data hosted at the MGDS, at other data repositories, and import their own data sets. Global Multi-Resolution Topography (GMRT) is a continuously-updated compilation of seafloor bathymetry integrated with global land topography. It can be used to create maps and grids and it can be accessed through several standard programmatic interfaces including GeoMapApp and Google Earth. The GMRT compilation can also be explored in 3D using Virtual Ocean. The MGDS MediaBank contains high quality images, illustrations, animations and video clips that are organized into galleries. Media can be sorted by category, and keyword and map-based search options are provided. Each item in the MediaBank is accompanied by metadata that provides access to a cruise catalog and data repository. | observation, solid earth, ocean, earth, polar sciences, marine, geophysical, bathymetry, seismic, magnetics, gravity, image, geology, bathymetric map, topographic map, mid-ocean ridge, submarine topography, continental margin, continental shelf, continental slope, expedition, catalog, web service, dynamic map |
uses: DataCite is listed by: re3data.org is listed by: CINERGI is related to: PetDB is related to: GeoMapApp has parent organization: Integrated Earth Data Applications is parent organization of: Antarctic and Southern Ocean Data Portal is parent organization of: Academic Seismic Portal at LDEO is parent organization of: U.S. Antarctic Program Data Coordination Center |
NSF | Free, Freely available | r3d100010273, nlx_154713, DOI:10.26022/ | https://doi.org/10.26022/, https://dx.doi.org/10.26022/, https://doi.org/10.17616/R38C83 | SCR_002164 | 2026-08-04 09:40:34 | 16 | ||||||
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National Snow and Ice Data Center Resource Report Resource Website 10+ mentions |
National Snow and Ice Data Center (RRID:SCR_002220) | NSIDC | image collection, storage service resource, data repository, service resource, database, data or information resource | National data center / repository for snow and ice data including snow, ice, glaciers, frozen ground, and climate interactions that make up Earth's cryosphere. The center manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Users may explore the Earth's frozen places in the collection of photographs and images. Photographs from field research trips, images captured by satellites of the changing cryosphere, and photos and images are available. Data sets are organized into the following groups: sea ice, frozen ground, snow cover, snow hydrology, glaciers and ice sheets, arctic people. | polar, snow, ice, climate, photo, visualization, sea ice, arctic, meteorology, frozen, antarctica, arctic region, sea ice, satellite, ice sheet, global warming, glacier, frozen ground, cryosphere, climatology, arctic people, snow cover, snow hydrology, catalog, data set, interaction, FASEB list |
is listed by: CINERGI is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing has parent organization: University of Colorado Boulder; Colorado; USA is parent organization of: Antarctic Glaciological Data Center is parent organization of: ACADIS Gateway |
NASA ; NSF ; NOAA |
PMID:32116128 | Public, Unless specifically stated that the information has limitations for its use, Acknowledgement requested, Free, Photos come from a variety of sources, And may have different copyright restrictions and credits. | DOI:10.7265, nlx_154742, DOI:10.25504/FAIRsharing.k9vqye, DOI:10.17616/R3HP4V, DOI:10.5067/ | https://doi.org/10.17616/R31NJMJB, https://doi.org/10.17616/r3HP4V, https://doi.org/10.7265/, https://dx.doi.org/10.7265/, https://fairsharing.org/10.25504/FAIRsharing.k9vqye, https://doi.org/10.5067/, https://dx.doi.org/10.5067/ | SCR_002220 | National Snow & Ice Data Center | 2026-08-04 09:40:35 | 48 | ||||
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OpenTopography Resource Report Resource Website 10+ mentions |
OpenTopography (RRID:SCR_002204) | OpenTopo | storage service resource, data repository, data or information resource, service resource | Accepts and provides access to high-resolution (meter to sub-meter scale) Earth science-oriented topography data (e.g. LiDAR) and bathymetric data, and related tools and resources. The OpenTopography Tool Registry provides a community populated clearinghouse of software, utilities, and tools oriented towards high-resolution topography data (e.g. collected with LiDAR technology) handling, processing, and analysis. Tools registered range from source code to full-featured software applications. Contributions to the registry via the Contribute a Tool page are welcome. OpenTopography also hosts a dataset catalog to which users can register datasets hosted elsewhere; these entries are discoverable by users alongside OpenTopography hosted datasets. Lidar point cloud data are available in LAS, LAZ and ASCII formats. Raster datasets and derived products can be downloaded in Arc ASCII, IMG, and GeoTIFF formats. Derived products and visualizations are available in Google Earth KML format. The OpenTopography user community and advisory committee provides feedback to define the scope of collaborations on data hosting and cyberinfrastructure development | topography, topographical surveying, cloud, earth sciences, aerial photography, topographic map, geography, bathymetric map, geological mapping, geographic information system, bathymetry |
is listed by: CINERGI is listed by: re3data.org is listed by: DataCite has parent organization: San Diego Supercomputer Center has parent organization: University of California; California; USA |
NSF 1948997; NSF 1948994; NSF 1948857 |
Free, Available for download, Freely available | nlx_154717, r3d100010655 | https://api.datacite.org/dois?prefix=10.5069, https://doi.org/10.17616/R3J616 | SCR_002204 | , OpenTopography Facility, Open Topography, NSF OpenTopography Facility | 2026-08-04 09:40:35 | 14 | |||||
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BCO-DMO Resource Report Resource Website 10+ mentions |
BCO-DMO (RRID:SCR_002191) | BCO-DMO | data set, storage service resource, data repository, service resource, data or information resource | Accepts and provides access to marine biogeochemical and ecological data sets from NSF-funded research programs. BCO-DMO is also the data repository for the US GLOBEC and JGOFS programs. | marine, biogeochemical, ecological, ocean, oceanographic, biology, polar |
is listed by: CINERGI has parent organization: Woods Hole Oceanographic Institution; Massachusetts; USA |
NSF | The community can contribute to this resource, For use by the academic and scientific community, Acknowledgement required, See terms of use, Non-commercial, Commercial with written permission | nlx_154701 | SCR_002191 | Biological and Chemical Oceanography Data Management Office, Biological & Chemical Oceanography Data Management Office | 2026-08-04 09:40:35 | 26 | ||||||
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National Center for Earth-Surface Dynamics Resource Report Resource Website |
National Center for Earth-Surface Dynamics (RRID:SCR_002195) | NCED | storage service resource, data repository, service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Field, laboratory, and model data related to earth-surface dynamics created or compiled by NCED-funded scientists. NCED is a Science and Technology Center developed to predict the coupled dynamics and co-evolution of landscapes and their ecosystems in order to transform management and restoration of the Earth-surface environment. | landscape, ecosystem, data set |
is listed by: CINERGI has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
NSF | Free, Freely available | r3d100011295, nlx_154715 | https://doi.org/10.17616/R3XW6D | SCR_002195 | NCED Data Repository | 2026-08-04 09:40:35 | 0 | |||||
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Gramene Resource Report Resource Website 500+ mentions |
Gramene (RRID:SCR_002829) | GR | database, data or information resource | Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site. | crop, plant genome, genetic, blast, gene, genome, genetic diversity, pathway, protein, marker, quantitative trait locus, comparative map, phenotype, genomics, physiology, comparative, grain, expressed sequence tag, trait, mutation, environment, taxonomy, web service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Gene Ontology is related to: Plant Ontology is related to: Trait Ontology is related to: EnvO is related to: BioCyc has parent organization: Cold Spring Harbor Laboratory has parent organization: Cornell University; New York; USA is parent organization of: Trait Ontology is parent organization of: Plant Environmental Conditions is parent organization of: Plant Trait Ontology is parent organization of: Cereal Plant Development Ontology is parent organization of: Cereal Plant Gross Anatomy Ontology |
USDA IFAFS 00-52100-9622; USDA 58-1907-0-041; USDA 1907-21000-030; NSF 0321685; NSF 0703908; NSF 0851652 |
PMID:21076153 PMID:17984077 PMID:16381966 |
Free, Freely available | r3d100010856, nif-0000-02926, nlx_65829, biotools:gramene | https://bio.tools/gramene, https://doi.org/10.17616/R3GG7M | SCR_002829 | GR PROTEIN, RiceGenes, GR REF, GR GENE, Gramene: A Resource for Comparative Grass Genomics, GR QTL | 2026-08-04 09:40:45 | 778 | ||||
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Molecular Simulation Trajectories Archive of a Villin Variant Resource Report Resource Website |
Molecular Simulation Trajectories Archive of a Villin Variant (RRID:SCR_002704) | Molecular Simulation Trajectories Archive of a Villin Variant | data set, d spatial image, data or information resource | An archive of hundreds of all-atom, explicit solvent molecular dynamics simulations that were performed on a set of nine unfolded conformations of a variant of the villin headpiece subdomain (HP-35 NleNle). It includes scripts for accessing the archive of villin trajectories as well as a VMD plug-in for viewing the trajectories. In addition, all starting structures used in the trajectories are also provided. The simulations were generated using a distributed computing method utilizing the symmetric multiprocessing paradigm for individual nodes of the Folding_at_home distributed computing network. The villin trajectories in the archive are divided into two projects: PROJ3036 and PROJ3037. PROJ3036 contains trajectories starting from nine non-folded configurations. PROJ3037 contains trajectories starting from the native (folded) state. Runs 0 through 8 (in PROJ3036) correspond to starting configurations 0 through 8 discussed in the paper in J. Mol. Biol. (2007) 374(3):806-816 (see the publications tab for a full reference), whereas RUN9 uses the same starting configuration as RUN8. Each run contains 100 trajectories (named clone 0-99), each with the same starting configuration but different random velocities. Trajectories vary in their length of time and are subdivided into frames, also known as a generation. Each frame contains around 400 configurational snapshots, or timepoints, of the trajectory, with the last configurational snapshot of frame i corresponding to the first configurational snapshot of generation i+1. The goal is to allow researchers to analyze and benefit from the many trajectories produced through the simulations. | dynamic, atom, headpiece, molecular, simulation, solvent, protein folding, villin, molecule, trajectory, simulation, molecular dynamics trajectory |
is listed by: Biositemaps has parent organization: Simtk.org |
Stanford University; California; USA ; Graduate Fellowship ; NIH ; NIGMS R01-GM062868; NSF MCB-0317072 |
PMID:17950314 | Acknowledgement requested, Available in Gromacs and PDB formats. | nif-0000-23331 | SCR_002704 | 2026-08-04 09:40:43 | 0 | ||||||
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Diffusion-Model Resource Report Resource Website |
Diffusion-Model (RRID:SCR_027942) | software resource, source code | Software code for simulating diffusion in brain extracellular space images. | simulating diffusion, brain, extracellular space, images | Spanish Government ; NINDS R01NS130759; NSF |
PMID:41279667 | Free, Available for download, Freely available | SCR_027942 | , Diffusion Flux, DifFlux, Diffusion Flux Model | 2026-08-03 09:39:36 | 0 | ||||||||
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TAIR Resource Report Resource Website 5000+ mentions |
TAIR (RRID:SCR_004618) | TAIR, AGI LocusCode | database, data or information resource | Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided. | genetic, molecular biology, gene, genome, structure, product, metabolism, gene expression, dna, seed stock, genome map, genetic marker, physical marker, genome sequence, gene product, blast, experimental protocol, gold standard |
is used by: NIF Data Federation is listed by: OMICtools is listed by: re3data.org is listed by: DataCite is related to: AmiGO is related to: Saskatoon Arabidopsis T-DNA mutant population SK Collection is related to: CLENCH has parent organization: Carnegie Institution for Science is parent organization of: TAIR Keyword Browser is parent organization of: PubSearch |
NSF DBI-0850219; corporate and nonprofit organizations |
PMID:22140109 PMID:17986450 PMID:12444417 PMID:12519987 PMID:18287693 |
r3d100010185, nlx_61477, OMICS_01662 | https://doi.org/10.17616/R3QW21 | SCR_004618 | AGI LocusCode, The Arabidopsis Information Resource | 2026-08-04 09:41:11 | 7421 | |||||
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AFTOL Resource Report Resource Website 10+ mentions |
AFTOL (RRID:SCR_004650) | AFTOL | storage service resource, biospecimen repository, material storage repository, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented Jan 13, 2022; To enhance the understanding of the evolution of the Kingdom Fungi, 1500+ species were sampled for eight gene loci across all major fungal clades, plus a subset of taxa for a suite of morphological and ultrastructural characters with resulting data: AFTOL Molecular Database (generated by WASABI - Web Accessible Sequence Analysis for Biological Inference), Blast search the AFTOL Database (generated by WASABI), AFTOL primers (generated by WASABI), AFTOL primers by species (generated by WASABI), AFTOL alignments, and the AFTOL Structural and Biochemical Database. Users may submit samples to the AFTOL project. AFTOL is a collaboration centered around four universities in the United States: Duke University (Francois Lutzoni and Rytas Vilgalys), Clark University (David Hibbett), Oregon State University (Joey Spatafora), and University of Minnesota (David McLaughlin). Participants throughout the world have donated vouchers, taxon samples, and gene sequences. The aim of the project is to reconstruct the fungal tree of life using all available data for eight loci (nuclear ribosomal DNA: LSU, SSU, ITS (including 5.8s, ITS1 and ITS2); RNA polymerase II: RPB1, RPB2; elongation factor 1-alpha; mitochondrial SSU rDNA, and mitochondrial ATP synthase protein subunit 6). A further objective of this study is to summarize and integrate current knowledge regarding fungal subcellular features within this new phylogenetic framework. The name of the bioinformatic package developed for AFTOL is WASABI which provides an efficient communication platform to facilitate the collection and dissemination of molecular data to (and from) the laboratories and participants. All molecular data can be viewed, downloaded, verified, and corrected by the participants of AFTOL. A central goal of the WASABI interface is to establish an automated analysis framework that includes basecalling of newly generated chromatograms, contig assembly, quality verification of sequences (including a local BLAST), sequence alignment, and congruence test. Gene sequences that pass all tests and are finally verified by their authors will undergo automated phylogenetic analysis on a regular schedule. Although all steps are initially carried out noninteractively, the users can verify and correct the results at any step and thus initiate the reanalysis of dependent data. | cytology, morphology, phylogeny, ultrastructure, primer, alignment, blast, sequence, taxonomy, structure, biochemical, subcellular, organism-related portal, data analysis service, culture, sporocarp, dna, pcr product, molecular, molecule, gene sequence | has parent organization: Oregon State University; Oregon; USA | NSF EF-0228671; NSF 0090301 |
PMID:17486962 PMID:21652303 |
The community can contribute to this resource, THIS RESOURCE IS NO LONGER IN SERVICE | nlx_64804 | SCR_004650 | Assembling the Fungal Tree of Life | 2026-08-04 09:41:11 | 22 | |||||
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SPROUTS- Structural Prediction for Protein Folding Utility System Resource Report Resource Website |
SPROUTS- Structural Prediction for Protein Folding Utility System (RRID:SCR_005118) | SPROUTS | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | SPROUTS is a database of predicted protein folding related data. It was designed to gather all the results from a study concerning the comparison between tools devoted to the prediction of stability changes upon point mutations. The second aim of this database is to offer simple and user-friendly tools to better visualize and analyze the results obtained. We are now able to propose three ways of visualization and analysis: the first one consists in getting raw Delta Delta G values in a table. The second one is a 2D graph representation of a computed stability score for each residue of a given sequence and for each tool. The last one is based on a Jmol applet (Jmol) with the possibility to represent the 3D structure of a given protein with symbols representing the information stored in the database. We assume that each visualization mode offers a different look on the data stored in the database and will suit to every scientists willing to query the database whether they are more used to handle 3D protein structure or 1D/2D sequence problems. Finally, the ultimate objective is to integrate these data and their analysis with other structural bioinformatic concepts in order to improve other methods that may be related to this concept. We are currently working at adding the information extracted from our other projects related to the prediction of protein folding nucleus in order to obtain a meta server devoted to the characterization of the folding core of proteins. As of today, this database has grown up and consists in more than 100 structures which have been computed for a total of around 16500 amino acids. | protein conformation, protein folding, protein structure | has parent organization: Arizona State University; Arizona; USA | NSF IIS-0223042; NSF 0738403; NSF IIS-0431174; NSF 0551444 |
nif-0000-03491 | http://bioinformatics.eas.asu.edu/springs/Sprouts/projectsSprouts.html | SCR_005118 | Structural Prediction for Protein Folding Utility System | 2026-08-04 09:41:17 | 0 | ||||||
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Music and Neuroimaging Laboratory Resource Report Resource Website |
Music and Neuroimaging Laboratory (RRID:SCR_005447) | Music and Neuroimaging Laboratory | portal, topical portal, laboratory portal, organization portal, data or information resource | The human brain has the remarkable ability to adapt in response to changes in the environment over the course of a lifetime. This is the mechanism for learning, growth, and normal development. Similar changes or adaptations can also occur in response to focal brain injuries, e.g., partially-adapted neighboring brain regions or functionally-related brain systems can either substitute for some of the lost function or develop alternative strategies to overcome a disability. Through ongoing research, the Music and Neuroimaging Laboratory''s mission is to: * Reveal the perceptual and cognitive aspects of music processing including the perception and memory for pitch, rhythmic, harmonic, and melodic stimuli. * Investigate the use of music and musical stimuli as an interventional tool for educational and therapeutic purposes. * Reveal the behavioral and neural correlates of learning, skill acquisition, and brain adaptation in response to changes in the environment or brain injury in the developing and adult brain. * Reveal the determinants and facilitators for recovery from brain injury. Project topics include: Aphasia Therapy, Singing and Speaking, Tone Deafness / Congenital Amusia, Motor Recovery Studies, Music and Emotions, Music and Autism, Children and Music Making, Brain Stimulation, Adult Musician Studies, Absolute Pitch Studies, Acute Stroke Studies | neuroimaging, music, autism, human, child, adult, singing, voice, motor system function, brain, brain injury, traumatic brain injury, stroke, emotion | has parent organization: Harvard Medical School; Massachusetts; USA | The Dana Foundation ; International Foundation for Music Research ; Grammy Foundation ; Nancy Lurie Marks Family Foundation ; Sourcetone LLC ; NSF ; NINDS ; NIDCD |
nlx_144538 | SCR_005447 | Music Neuroimaging Laboratory, Music & Neuroimaging Laboratory | 2026-08-04 09:41:21 | 0 | |||||||
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WASP Resource Report Resource Website 1+ mentions |
WASP (RRID:SCR_025497) | software toolkit, software resource, source code | Software allele-specific pipeline for unbiased read mapping and molecular QTL discovery. Allele-specific software for robust molecular quantitative trait locus discovery. | molecular QTLs discovery, unbiased allele-specific read mapping and discovery, molecular QTLs, unbiased allele-specific read, mapping and discovery, | Howard Hughes Medical Institute ; NHGRI HG007036; NHGRI HG006123; NIMH MH101825; NIGMS GM007197; NSF |
PMID:26366987 | Free, Available for download, Freely available, | SCR_025497 | 2026-08-03 09:39:09 | 3 | |||||||||
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PAMGO Resource Report Resource Website 1+ mentions |
PAMGO (RRID:SCR_000022) | PAMGO | ontology, data or information resource, controlled vocabulary | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 10, 2016. A consortium that created universal descriptors to describe functionally similar gene products and their attributes across all organisms. In 2004, the PAMGO interest group joined the GO consortium to extend the GO to include terms describing various processes related to microbe-host interactions. The organization uses a controlled vocabulary to set a process in place to describe plant associated microbes and their interactions with their plant-hosts. These higher order terms can describe gene products of all types of symbionts (e.g. parasites, commensals, and mutualists), including prokaryotes and eukaryotes that associate with plant or animal hosts. This initiative is a multi-institutional collaborative effort to pool information and research in: the bacteria Dickeya dadantii, Pseudomonas syringae pv tomato and Agrobacterium tumefaciens, the fungus Magnaporthe grisea, the oomycetes Phytophthora sojae and Phytophthora ramorum, and the nematode Meloidogyne hapla. | ontology, plant ontology, microbe-host, controlled vocabulary, symbiosis, parasite, mutualist, commensal |
is affiliated with: Cornell University; New York; USA is affiliated with: North Carolina State University; North Carolina; USA is affiliated with: University of Wisconsin-Madison; Wisconsin; USA is affiliated with: Virginia Bioinformatics Institute has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NSF 2005-35600-16370; NSF EF-0523736 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_92278 | SCR_000022 | Plant-Associated Microbe Gene Ontology, Plant Associated Microbe Gene Ontology, PAMGO - Plant-Associated Microbe Gene Ontology | 2026-08-04 09:40:02 | 5 | ||||||
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Bisque Resource Report Resource Website 10+ mentions |
Bisque (RRID:SCR_005564) | Bisque | software resource, source code | A scalable web-based system for biological image analysis, management and exploration. The Bisque system incorporates many features useful to imaging researchers from image capture to extensible image analysis and querying. At the core, bisque maintains a flexible database of images and experimental metadata. Image analyses can be incorporated into the system and deployed on clusters and desktops. Search and comparison of datasets by image data and content is supported. Novel semantic analyses are integrated into the system allowing high level semantic queries and comparison of image content. New features and testing of Bisque version: 0.5.1, among many others are: # Parallel execution of datasets # Rich interfaces for autogenerated module UI # Abstracted storage system for local, irods, etc.. They are using Mercurial for their source control system. This should be installed before proceeding. Browse source on-line, http://biodev.ece.ucsb.edu/projects/bisquik/browser Bisque Installation, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/InstallationInstructions05 Bisque DOWNLOAD, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/download, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | image, biology, annotate, metadata, analysis, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Center for Bio-Image Informatics |
NSF ITR-0331697; NSF IIS-0808772 |
PMID:20031971 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144653 | http://www.nitrc.org/projects/bisque | SCR_005564 | Bio-Image Semantic Query User Environment, Bisque - Bio-Image Semantic Query User Environment | 2026-08-03 09:32:53 | 20 |
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