SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
iFad Resource Report Resource Website |
iFad (RRID:SCR_000271) | iFad | software resource | An R software package implementing a bayesian sparse factor model for the joint analysis of paired datasets, the gene expression and drug sensitivity profiles, measured across the same panel of samples, e.g. cell lines. | r, gene expression, drug sensitivity, analysis, drug-pathway association, gene-pathway, pathway, gene, drug |
is listed by: OMICtools has parent organization: Yale School of Medicine; Connecticut; USA |
PMID:22581178 | Free, Available for download, Freely available | OMICS_01959 | SCR_000271 | 2026-02-14 01:59:40 | 0 | |||||||
|
GPViz Resource Report Resource Website |
GPViz (RRID:SCR_000346) | GPViz | software resource | A versatile Java-based software used for dynamic gene-centered visualization of genomic regions and/or variants. | gene, visualization, genomic, variant, bioinformatics, java | is listed by: OMICtools | Free, Available for download, Freely available | OMICS_00915 | SCR_000346 | 2026-02-14 01:59:41 | 0 | ||||||||
|
ARB project Resource Report Resource Website 10+ mentions |
ARB project (RRID:SCR_000515) | ARB | software resource | Software environment for maintaining databases of molecular sequences and additional information, and for analyzing the sequence data, with emphasis on phylogeny reconstruction. Programs have primarily been developed for ribosomal ribonucleic acid (rRNA) sequences and, therefore, contain special tools for alignment and analysis of these structures. However, other molecular sequence data can also be handled. Protein gene sequences and predicted protein primary structures as well as protein secondary structures can be stored in the same database. ARB package is designed for graphical user interface. Program control and data display are available in a hierarchical set of windows and subwindows. Majority of operations can be controlled using mouse for moving pointer and the left mouse button for initiating and performing operations. | rrna sequence, rrna, phylogeny, alignment, analysis, protein, gene |
is listed by: Debian is related to: SILVA is related to: SINA has parent organization: Technical University of Munich; Bavaria; Germany |
PMID:14985472 | Free, Available for download, Freely available | OMICS_01515 | https://sources.debian.org/src/arb/ | SCR_000515 | The ARB project | 2026-02-14 01:59:45 | 28 | |||||
|
PiNGO Resource Report Resource Website |
PiNGO (RRID:SCR_000692) | PiNGO | software resource | A Java-based tool to easily find unknown genes in a network that are significantly associated with user-defined target Gene Ontology (GO) categories. PiNGO is implemented as a plugin for Cytoscape, a popular open source software platform for visualizing and integrating molecular interaction networks. PiNGO predicts the categorization of a gene based on the annotations of its neighbors, using the enrichment statistics of its sister tool BiNGO. Networks can either be selected from the Cytoscape interface or uploaded from file. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, annotation, network, candidate gene, biological network, ontology or annotation search engine, statistical analysis, term enrichment, functional similarity, functional prediction, search engine, windows, mac os x, linux, unix |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Cytoscape has parent organization: Ghent University; Ghent; Belgium |
PMID:21278188 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149330, OMICS_02281 | SCR_000692 | 2026-02-14 01:59:49 | 0 | |||||||
|
ROSTLAB Resource Report Resource Website 1+ mentions |
ROSTLAB (RRID:SCR_000792) | group | A lab organization which has bases in Munich, Germany and at Columbia University and focuses its research on protein structure and function using sequence and evolutionary information. They utilize machine learning and statistical methods to analyze genetic material and its gene products. Research goals of the lab involve using protein and DNA sequences along with evolutionary information to predict aspects of the proteins relevant to the advance of biomedical research. | protein, structure, function, dna, rna, gene, machine learning, statistics, analysis, protein, biomedical |
has parent organization: Columbia University; New York; USA is parent organization of: PredictNLS is parent organization of: SNPdbe |
NLM LM007329; NLM GM50291 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31417 | http://cubic.bioc.columbia.edu/services/disis | SCR_000792 | Rost Group | 2026-02-14 01:59:50 | 1 | ||||||
|
betr Resource Report Resource Website 10+ mentions |
betr (RRID:SCR_001332) | betr | software resource | Software package that implements the Bayesian Estimation of Temporal Regulation algorithm to identify differentially expressed genes in microarray time-course data. | differentially expression, gene, microarray, time-course |
is listed by: OMICtools has parent organization: Bioconductor |
PMID:20003283 | Free, Available for download, Freely available | OMICS_01997 | http://www.bioconductor.org/packages/release/bioc/html/betr.html | SCR_001332 | Bayesian Estimation of Temporal Regulation | 2026-02-14 02:00:06 | 17 | |||||
|
SNPper Resource Report Resource Website 10+ mentions |
SNPper (RRID:SCR_001963) | SNPper | software resource | Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions. | single-nucleotide polymorphism, gene, chromosome |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA |
PMID:12490454 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01926 | SCR_001963 | 2026-02-14 02:00:21 | 49 | |||||||
|
Wellcome Trust Case Control Consortium Resource Report Resource Website 100+ mentions |
Wellcome Trust Case Control Consortium (RRID:SCR_001973) | WTCCC | data or information resource | Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2. | gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, disease |
is related to: Psychiatric Genomics Consortium has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Bipolar disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunction, Diabetes | Wellcome Trust ; Bill and Melinda Gates Foundation ; Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:17554300 | Access to summary data and individual-level genotype data is available by application to the Wellcome Trust Case Control Consortium Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. | nif-0000-10551 | SCR_001973 | Wellcome Trust Case-Control Consortium (WTCCC) | 2026-02-14 02:00:12 | 213 | ||||
|
DNACLUST Resource Report Resource Website 1+ mentions |
DNACLUST (RRID:SCR_001771) | software resource | Software program for clustering large number of short similar DNA sequences. It was originally designed for clustering targeted 16S rRNA pyrosequencing reads. | cluster, dna sequence, gene, 16s rrna pyrosequencing read, microbiome |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian has parent organization: SourceForge |
PMID:21718538 DOI:10.1186/1471-2105-12-271 |
Free, Available for download, Freely available | OMICS_01955 | https://sources.debian.org/src/dnaclust/ | SCR_001771 | DNAClust | 2026-02-14 02:00:10 | 9 | ||||||
|
Flash Gviewer Resource Report Resource Website 1+ mentions |
Flash Gviewer (RRID:SCR_012870) | Flash GViewer | software resource | Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool | visualization, chromosome, video, gene, qtl, genome, navitgation, phenotype, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Medical College of Wisconsin; Wisconsin; USA |
Free for academic use | nlx_149333 | http://gmod.org/flashgviewer | SCR_012870 | 2026-02-14 02:02:24 | 2 | |||||||
|
DISEASES Resource Report Resource Website 500+ mentions |
DISEASES (RRID:SCR_015664) | data or information resource, database | Database that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. It also assigns confidence scores that facilitate comparison of the different types and sources of evidence. | disease, gene, disease-gene association, text-mining, , bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
Novo Nordisk Foundation Center for Protein Research NNF14CC0001; European Union Seventh Framework Programme n259348 |
PMID:25484339 | biotools:diseases | https://bio.tools/diseases | SCR_015664 | 2026-02-14 02:02:52 | 627 | |||||||
|
STIFDB Resource Report Resource Website 10+ mentions |
STIFDB (RRID:SCR_002131) | STIFDB | data or information resource, database | Database of biotic and abiotic stress responsive genes in Arabidopsis thaliana and Oryza sativa L. with options to identify probable Transcription Factor Binding Sites in their promoters. In the response to biotic stress like Bacteria and abiotic stresses like ABA, drought, cold, salinity, dehydration, UV-B, high light, heat,heavy metals etc, ten specific families of transcription factors in Arabidopsis thaliana and six in Oryza sativa L. are known to be involved. HMM-based models are used to identify binding sites of transcription factors belonging to these families. They have also consulted literature reports to cross-validate the Transcription Factor Binding Sites predicted by the method. | stress responsive, transcription factor, biotic, abiotic, gene, transcription factor binding site, promoter, stress, chromosome, blast |
is listed by: OMICtools has parent organization: Tata Institute of Fundamental Research; Mumbai; India |
PMID:23314754 PMID:19841686 |
Free, Freely Available | OMICS_01866 | SCR_002131 | Stress Responsive Transcription Factor Database | 2026-02-14 02:05:38 | 10 | ||||||
|
Rice Metabolic Pathway Database Resource Report Resource Website 1+ mentions |
Rice Metabolic Pathway Database (RRID:SCR_002128) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. RiceCyc is a catalog of known and/or predicted biochemical pathways from rice (Oryza sativa). Pathways and genes presented in this catalog are primarily based on the annotations carried out by Gramene database project on the release 5 of the TIGR-assembly of Oryza sativa japonica cv. Nipponbare genome sequenced by IRGSP. | gene, biochemical pathway, rice | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20922 | http://www.gramene.org/pathway/ricecyc.html | SCR_002128 | Rice Metabolic Pathways, RiceCyc | 2026-02-14 02:05:46 | 9 | ||||||||
|
pSTIING Resource Report Resource Website 1+ mentions |
pSTIING (RRID:SCR_002045) | pSTIING | data or information resource, database | A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis. | protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, gene |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University College London; London; United Kingdom |
Inflammation, Tumor, Cancer | PMID:16381926 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01916 | SCR_002045 | Protein Signalling Transcriptional Interactions and Inflammation Networks Gateway, Protein Signalling Transcriptional Interactions & Inflammation Networks Gateway | 2026-02-14 02:05:37 | 2 | |||||
|
RegPrecise Resource Report Resource Website 50+ mentions |
RegPrecise (RRID:SCR_002149) | RegPrecise | data or information resource, database | Collection of manually curated inferences of regulons in prokaryotic genomes. Database for capturing, visualization and analysis of transcription factor regulons that were reconstructed by comparative genomic approach in wide variety of prokaryotic genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | regulon, genome, transcription factor, gene, operon, transcription factor binding site, taxonomy, rna, effector, pathway, ortholog, function, FASEB list |
is listed by: OMICtools has parent organization: Lawrence Berkeley National Laboratory |
Department of Energy ; NSF DBI-0850546 |
PMID:24175918 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01869 | SCR_002149 | 2026-02-14 02:06:08 | 80 | ||||||
|
Primate Orthologous Exon Database Resource Report Resource Website 1+ mentions |
Primate Orthologous Exon Database (RRID:SCR_002065) | Primate Orthologous Exon Database | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of orthologous exon regions in the genomes of human, chimpanzee, and rhesus macaque. It can be used in analysis of multi-species RNA-seq expression data, allowing for comparisons of exon-level expression across primates, as well as comparative examination of alternative splicing and transcript isoforms. | alternative splicing, transcript isoform, ortholog, exon, gene, rna-seq, primate, genome |
is listed by: OMICtools has parent organization: University of Chicago; Illinois; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01895 | SCR_002065 | 2026-02-14 02:06:06 | 1 | ||||||||
|
Alignable Tight Genomic Cluster Resource Report Resource Website 1+ mentions |
Alignable Tight Genomic Cluster (RRID:SCR_001894) | ATGC | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. ATGC stands for Alignable Tight Genomic Cluster, which is cluster of closely related prokaryotic genomes. ATGC is the principal notion of this web resource. The purpose of this web resource is to prepare ATGC-derived data sets for a variety of research projects in functional and evolutionary genomics. Unique features of ATGC include: * Reliable identification of orthologs (high degree of similarity between the genomes in the set allow an extensive use of synteny in ortholog identification); * Fine granularity of protein classification (in comparisons of more distant genomes, proteins belonging to families of paralogs are often lumped into a singlegroup; under the ATGC approach, comparison of genomic sequences from highly similar genomes allows one to track each set of orthologs separately); * Relative rarity of changes of any kind (in sequence, genome organization and gene content) allows the use of parsimony-related methods of analysis. | gene, genomic cluster, genomic sequence, ortholog, paralog, prokaryotic genomic, protein, protein classification | has parent organization: Lawrence Berkeley National Laboratory | Department of Energy Joint Genome Institute ; NLM ; DOE DE-AC02-05CH11231 |
PMID:28053163 PMID:18845571 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02581 | SCR_001894 | 2026-02-14 02:06:03 | 1 | ||||||
|
PubGene Resource Report Resource Website 10+ mentions |
PubGene (RRID:SCR_002119) | data or information resource, database | It helps users retrieve information on genes and proteins. The underlying structure of PubGene can be viewed as a gene-centric database. Gene and protein names are cross-referenced to each other and to terms that are relevant to understanding their biological function, importance in disease and relationship to chemical substances. The result is a literature network organizing information in a form that is easy to navigate. | gene, information, protein, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is parent organization of: Coremine Medical |
Free, Freely Available | biotools:pubgene, nif-0000-20908 | https://bio.tools/pubgene | SCR_002119 | PubGene | 2026-02-14 02:06:07 | 39 | |||||||
|
Cell Signaling Pathways Resource Report Resource Website 1+ mentions |
Cell Signaling Pathways (RRID:SCR_002070) | data or information resource, database | Cell signaling pathways can be explored using PathFinder, the interactive, online graphical representation of cell signaling pathways. The user can use PathFinder to explore the relationships between different cell signaling pathway components while being presented with our high quality small molecules, antibodies, enzymes, siRNA for gene knockdown and qPCR components to aid them in their research. | enzyme, gene, antibody, cell signaling, molecule, pathway, qpcr, research, sirna | PMID:17854489 | Free, Freely available | nif-0000-20825 | http://www.sigmaaldrich.com/Area_of_Interest/Life_Science/PathFinder.html | SCR_002070 | PathFinder | 2026-02-14 02:05:37 | 3 | |||||||
|
COSMIC - Catalogue Of Somatic Mutations In Cancer Resource Report Resource Website 1000+ mentions |
COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) | COSMIC | data or information resource, database |
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats. Some key features of COSMIC are: * Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types. * Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines. |
cancer, mutation, somatic mutation, tumor, cancer genome, genome, gene, dna, tissue, histology, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Cancer | Wellcome Trust 077012/Z/05/Z | PMID:20952405 | Free | nif-0000-02690, biotools:cosmic, OMICS_00082 | http://www.sanger.ac.uk/perl/CGP/cosmic https://bio.tools/cosmic |
SCR_002260 | Catalogue Of Somatic Mutations In Cancer | 2026-02-14 02:06:06 | 4486 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.