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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BioText Search Engine Resource Report Resource Website 1+ mentions |
BioText Search Engine (RRID:SCR_003600) | data or information resource, database | Developed as part of the BioText project at the University of California, Berkeley, the BioText Search Engine is a freely available Web-based application that provides biologists with new ways to access the scientific literature. The system indexes all open access articles available at PubMed Central. New articles are indexed daily. The current collection consists of more than 300 journals, 40,000 articles, 100,000 figures, and 60,000 tables. The Full Text & Abstract view searches the full text of articles (in addition to title, author, and abstract information) and returns full-text excerpts that match users' queries. Three selection boxes at the top (ABSTRACTS, FULL-TEXT EXCERPTS and FIGURES allow users to choose what the view displays. The BioText Search Engine allows users to search in tables. When the table view is selected, BioText searches in article titles, table captions, and table contents. The Grid View allows users to search over captions. It returns figures and truncated captions in a grid arrangement. | has parent organization: University of California at Berkeley; Berkeley; USA | NSF DBI-0317510 | PMID:17545178 | nlx_12705 | SCR_003600 | BioText | 2026-09-12 01:01:29 | 8 | ||||||||
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JCVI GenProp Resource Report Resource Website 1+ mentions |
JCVI GenProp (RRID:SCR_004592) | JCVI GenProp | data or information resource, database, service resource | The Genome Properties system consists of a suite of Properties which are carefully defined attributes of prokaryotic organisms whose status can be described by numerical values or controlled vocabulary terms for individual completely sequenced genomes. The system has been designed to capture the widest possible range of attributes and currently encompasses taxonomic terms, genometric calculations, metabolic pathways, systems of interacting macromolecular components and quantitative and descriptive experimental observations (phenotypes) from the literature. You may search the Genome Properties Database in 1 of 3 ways: * Search For Predicted Properties in the CMR: The Genome Property Search allows you to search the Genome Property database for state information for selected genomes and properties. * Perform a Keyword Search for a Specific Property: Lists all Genome Properties that match a specific text string. You can choose to search All Fields within a genome property or the Property Name. * Browse Top Level Genome Properties: Click on the properties to see the specific genome property report page. The Genome Properties system presents key aspects of prokaryotic biology using standardized computational methods and controlled vocabularies. Properties reflect gene content, phenotype, phylogeny and computational analyses. The results of searches using hidden Markov models allow many properties to be deduced automatically, especially for families of proteins (equivalogs) conserved in function since their last common ancestor. Additional properties are derived from curation, published reports and other forms of evidence. Genome Properties system was applied to 156 complete prokaryotic genomes, and is easily mined to find differences between species, correlations between metabolic features and families of uncharacterized proteins, or relationships among properties. | prokaryote, genome, genomics, a | has parent organization: JCVI CMR | NSF DBI-0110270; DOE DE-FG02-01ER63203 |
PMID:15347579 | nlx_58176 | http://www.tigr.org/Genome_Properties | SCR_004592 | Genome Properties, Genome Properties Database, JCVI CMR Genome Properties | 2026-09-12 01:01:32 | 1 | |||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | analysis service resource, data analysis service, production service resource, service resource | PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis. | data mining, gene expression, user directed data mining, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NIGMS P50 GM071508; NCI T32 CA005928 |
PMID:21653547 | nlx_75372, biotools:pilgrm | https://bio.tools/pilgrm | SCR_004749 | Platform for Interactive Learning by Genomics Results Mining | 2026-09-12 01:01:33 | 1 | |||||
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NBC Resource Report Resource Website 1+ mentions |
NBC (RRID:SCR_004772) | NBC | analysis service resource, data analysis service, production service resource, service resource | Webserver for taxonomic classification of metagenomic reads. | metagenome, genome, virus, taxonomy, next-generation sequencing, taxonomic classification, classification |
is listed by: OMICtools has parent organization: Drexel University; Pennsylvania; USA |
NSF DBI-0845827; DOE DE-SC0004335 |
PMID:1062764 PMID:19956701 |
OMICS_01458 | SCR_004772 | Naive Bayes Classification tool, Na����ve Bayesian Classification tool, Naive Bayesian Classification Tool | 2026-09-12 01:01:34 | 3 | ||||||
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TopoSNP Resource Report Resource Website 1+ mentions |
TopoSNP (RRID:SCR_005572) | TopoSNP | data or information resource, database | A topographic database for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. It also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. | visualization, disease, non-disease, non-synonymous single nucleotide polymorphism, topographic mapping, single nucleotide polymorphism, 3d structure, protein, protein structure, coding region, entropy |
is listed by: OMICtools is related to: OMIM is related to: dbSNP is related to: Pfam is related to: Clustal W2 has parent organization: University of Illinois at Chicago; Illinois; USA |
NSF DBI0133856; NSF DBI0078270; NSF MCB998008; NIGMS GM68958 |
PMID:14681472 | nif-0000-03570, OMICS_00191 | SCR_005572 | topographic mapping of Single Nucleotide Polymorphism | 2026-09-12 01:01:38 | 5 | ||||||
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VCU Nanomaterials Characterization Center Resource Report Resource Website 10+ mentions |
VCU Nanomaterials Characterization Center (RRID:SCR_012162) | VCU Nanomaterials Characterization Center | access service resource, core facility, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Nanomaterials Characterization Center at Virginia Commonwealth University is a state of the art 4000 sq. ft. facility located within the new Health and Life Science Engineering Facility. The Center provides an academic structure for students in natural sciences, mathematics, engineering, and medicine to participate in nanoscience and nanotechnology research to acquire the skills necessary to pursue such careers. In the past year, VCU received two National Science Foundation major research instrumentation grants totaling more than $1.6 million to expand its capabilities for research in materials science. Combining these federal awards with state instrumentation grants and private donations, the facility has been able to build a state of the art facility with over $5 million in new equipment. This new equipment will allow faculty and student researchers from both VCU campuses, as well as other universities. |
is listed by: ScienceExchange is related to: Virginia Commonwealth University Labs and Facilities has parent organization: Virginia Commonwealth University; Virginia; USA |
NSF | THIS RESOURCE IS NO LONGER IN SERVICE | SciEx_10050 | SCR_012162 | Virginia Commonwealth University Nanomaterials Characterization Center | 2026-09-12 01:03:37 | 46 | |||||||
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Antarctic and Southern Ocean Data Portal Resource Report Resource Website |
Antarctic and Southern Ocean Data Portal (RRID:SCR_002193) | ASODS | data or information resource, data set | Accepts and provides access to geoscience data, primarily marine, collected from oceanographic expeditions in the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program. Data available include seafloor bathymetry, subbottom profiling, trackline gravity and magnetics, meteorological, and water column data as well as basic cruise information for all Palmer and Gould expeditions. Seafloor bathymetry data are provided both as raw swath data as well as in gridded form through the Global Multi-Resolution Topography (GMRT) synthesis. This gridded compilation of seafloor bathymetry data can be accessed through GeoMapApp, Create Maps and Grids and through an OGC-compliant Web Map Service. GeoMapApp is an integrated mapping application that provides access to many additional regional bathymetric grids, seismic, radar, gravity and magnetics profiles as well as other map and grid compilations for the Antarctic continent including LIMA. | oceanography, ocean, marine, antarctic, southern ocean, geoscience, polar, seafloor, bathymetry, subbottom profiling, trackline gravity, magnetics, meteorological, water column, map, grid |
is listed by: CINERGI is listed by: re3data.org has parent organization: Marine Geoscience Data System |
NSF | Free, Freely available | nlx_154703 | SCR_002193 | Antarctic & Southern Ocean Data Portal | 2026-09-12 01:03:12 | 0 | ||||||
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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 | 2026-09-12 01:03:15 | 20 | ||||
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Panel Study of Income Dynamics Resource Report Resource Website 10+ mentions |
Panel Study of Income Dynamics (RRID:SCR_008976) | PSID | data or information resource, data set | Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203 | longitudinal, minority, employment, income, wealth, expenditure, health, marriage, childbearing, child development, philanthropy, education, family income, attitude, economic behavior, economic change, economic condition, employment history, family, family history, fertility, food aid, household expenditure, household income, housing, population trend, poverty, social change, social indicator, socioeconomic status, african-american, survey, interview, questionnaire, census data, latino, economic status, demographic, intergeneration, individual, health condition, economic, income source, income amount, pension, family composition, childbirth, marriage history, residential location, emotional distress, hispanic, cuban, puerto rican, mexican |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) has parent organization: University of Michigan; Ann Arbor; USA |
Aging | NIA ; U.S. Department of Health and Human Services ; APSE ; United States Department of Agriculture ; NICHD ; NSF |
Public, Acknowledgement requested | nlx_152067 | SCR_008976 | Panel Study of Income Dynamics - PSID, PSID - A national survey of socioeconomics and health over lifetimes and across generations, Panel Study of Income Dynamics (PSID) | 2026-09-12 01:03:18 | 21 | |||||
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New Immigrant Survey Resource Report Resource Website 1+ mentions |
New Immigrant Survey (RRID:SCR_008973) | NIS | data or information resource, data set | Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981 | longitudinal, immigrant, migration, behavior, adult human, spouse, child, questionnaire, health, family, economic, self-report, smoking, drinking, health care service, depression, pain, background, childhood history, living condition, education, migration history, marital history, military history, fertility history, language skill, employment history, social network, religion, education, work status, income, wage, pension, government subsidy, asset, debt, financial assistance, interview | has parent organization: Princeton University; New Jersey; USA | Aging | NIA ; NICHD ; Office of Behavioral and Social Sciences Research ; NSF ; US Citizenship and Immigration Services ; ASPE ; Pew Charitable Trusts |
Public: Users must complete a short registration process the first time they access the data. | nlx_152061 | SCR_008973 | 2026-09-12 01:03:18 | 3 | ||||||
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PyRosetta Resource Report Resource Website 10+ mentions |
PyRosetta (RRID:SCR_018541) | software application, software resource, standalone software | Interactive Python based interface to Rosetta molecular modeling suite. Stand alone Python based implementation of Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using major Rosetta sampling and scoring functions. | Molecular modeling, custom structure prediction, design algorithm, energy function, scoring function, bio.tools |
uses: Python Programming Language is listed by: bio.tools is listed by: Debian is related to: Rosetta has parent organization: Johns Hopkins University; Maryland; USA |
NIGMS R01 GM078221; NIGMS R01 GM73151; NSF 0846324 |
PMID:20061306 | Free, Freely available | biotools:pyrosetta | https://bio.tools/pyrosetta | SCR_018541 | Python Rosetta | 2026-09-12 01:02:56 | 25 | |||||
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ipyrad Resource Report Resource Website 10+ mentions |
ipyrad (RRID:SCR_022016) | software resource, software toolkit | Software interactive toolkit for assembly and analysis of restriction site associated genomic data sets including RAD, ddRAD, GBS, for population genetic and phylogenetic studies. Used for interactive assembly and analysis of RADseq data sets. | RADseq data sets interactive assembly and analysis, data assembly, data analysis, restriction site associated genomic data, genomic data, restriction site, | Graduate Center of the City University of New York ; NSF DEB1253710; NSF DEB1557059; NSF DEB1745562; Sao Paulo Research Foundation |
DOI:10.1093/bioinformatics/btz966 | Free, Available for download, Freely available | SCR_022016 | 2026-09-12 01:02:59 | 22 | |||||||||
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OrthoANIu Resource Report Resource Website 50+ mentions |
OrthoANIu (RRID:SCR_022562) | data analytics software, software application, software resource | Software tool for calculating average nucleotide identity. | calculating average nucleotide identity, nucleotide identity | NSF NRF-2014M3C9A3063541; NSF NRF-2015R1A2A2A01008404 |
PMID:26585518 | SCR_022562 | Average Nucleotide Identity | 2026-09-12 01:03:01 | 90 | |||||||||
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CHISEL Resource Report Resource Website 1+ mentions |
CHISEL (RRID:SCR_023220) | CHISEL | software application, software resource | Software tool to infer allele and haplotype specific copy numbers in individual cells from low coverage single cell DNA sequencing data. Integrates weak allelic signals across individual cells, powering strength of single cell sequencing technologies to overcome weakness. Includes global clustering of RDRs and BAFs, and rigorous model selection procedure for inferring genome ploidy that improves both inference of allele specific and total copy numbers. | infer allele and haplotype specific copy numbers, individual cells, low coverage single cell DNA sequencing data, weak allelic signals, weak signals integration, | Chan Zuckerberg Initiative DAF grants ; NCI P30CA072720; NCI U24CA211000; NHGRI R01HG007069; NSF CCF 1053753; O’Brien Family Fund for Health Research ; Wilke Family Fund for Innovation |
DOI:10.1038/s41587-020-0661-6 | Free, Available for download, Freely available | SCR_023220 | Copy-number Haplotype Inference in Single-cell by Evolutionary Links | 2026-09-12 01:03:03 | 3 | |||||||
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TEtranscripts Resource Report Resource Website 10+ mentions |
TEtranscripts (RRID:SCR_023208) | software resource, software toolkit | Software package for including transposable elements in differential enrichment analysis of sequencing datasets. Used for including transposable elements in differential expression analysis of RNA-seq datasets. RNAseq TE quantification tool. | Transposable Elements, transposable elements, RNAseq TE, sequencing datasets, RNAseq TE quantification | uses: DESeq2 | NCI CA 045508; NSF MCB 1159098; Rita Allen Foundation |
PMID:26206304 | Free, Available for download, Freely available | SCR_023208 | 2026-09-12 01:03:03 | 16 | ||||||||
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DADA2 Resource Report Resource Website 1000+ mentions |
DADA2 (RRID:SCR_023519) | software resource, software toolkit | Open source software R package for modeling and correcting Illumina sequenced amplicon errors. Fast and accurate sample inference from amplicon data with single nucleotide resolution. | modeling and correcting amplicon errors, Illumina sequenced amplicon errors, amplicon errors, sample inference, amplicon data, single nucleotide resolution |
is used by: ImmuMicrobiome is related to: dadasnake has parent organization: Stanford University; Stanford; California |
NIAID R01AI112401; NSF ; Samarth Foundation |
PMID:27214047 | Free, Available for download, Freely available | https://bioconductor.org/packages/dada2/ | SCR_023519 | 2026-09-12 01:03:05 | 1134 | |||||||
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GeneWays Resource Report Resource Website |
GeneWays (RRID:SCR_000572) | Geneways | service resource | System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information. | pathway, molecule, literature, natural language processing, gene, protein, interaction, database |
is listed by: OMICtools has parent organization: Argonne National Laboratory has parent organization: Columbia University; New York; USA |
DOE ; NIGMS GM61372; NSF |
PMID:15016385 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30019, SCR_008368, OMICS_01182 | http://anya.igsb.anl.gov/genewaysApp | SCR_000572 | GeneWays: A System for Extracting Analyzing Visualizing and Integrating Molecular Pathway Data, GeneWays: A System for Extracting Analyzing Visualizing Integrating Molecular Pathway Data | 2026-09-12 01:03:10 | 0 | ||||
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Bacillus Genetic Stock Center (BGSC) Resource Report Resource Website 50+ mentions |
Bacillus Genetic Stock Center (BGSC) (RRID:SCR_014950) | BGSC | biomaterial supply resource, material resource | Supplier of genetically characterized strains, cloning vectors, and bacteriophages for the genus Bacillus and related organisms. The BGSC can distribute these materials to qualified scientists and educators throughout the world. | bacillus, integration vector, cloning vector, strain, bacteriophage |
has parent organization: Ohio State University; Ohio; USA has parent organization: National Science Foundation is hosted by: Ohio State University; Ohio; USA |
NSF 0742066 | Commercially available, Available to the research community | SCR_014950 | Bacillus Genetic Stock Center | 2026-09-12 01:02:52 | 55 | |||||||
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metagear Resource Report Resource Website |
metagear (RRID:SCR_017085) | software resource, software toolkit | Software R package for research synthesis taxonomy from applying systematic review approach to assemble and screen literature, to extract data from studies, and to summarize and analyze these data with statistics of meta analysis. | sythesis, taxonomy, systematic, review, assemble, screen, literature, extract, meta, data, analysis, statistical |
is listed by: CRAN is related to: R Project for Statistical Computing has parent organization: University of South Carolina; South Carolina; USA |
NSF DBI-1262545; NSF DEB-1451031 |
DOI:10.1111/2041-210X.12472 | Free, Available for download, Freely available | https://github.com/cran/metagear, https://lajeunesse.myweb.usf.edu | SCR_017085 | 2026-09-12 01:02:54 | 0 | |||||||
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Roadmap Resource Report Resource Website 10+ mentions |
Roadmap (RRID:SCR_017207) | software application, software resource | Software tool to display surface of macromolecule and its properties. Uses projections to map van der Waals or solvent accessible surface of macromolecule onto plane., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Display, surface, macromolecule, property, projection, van der Waal | is related to: Purdue University; West Lafayette; Indiana | Medical Research Council ; NIH ; NSF |
PMID:8384042 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_017207 | 2026-09-12 01:02:54 | 14 |
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