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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 for any researcher looking to obtain knockout mice and embryonic stem (ES) cells quickly and with favorable intellectual property (IP) terms. Our resources include the world’s largest gene trap library of ES cells in the C57BL/6N mouse strain and a constantly expanding repository of cryopreserved germplasm of knockout lines. TIGM provides both ES cell clones and mice as well as other transgenic core services including CRISPR/Cas9-based genome modifications within the Texas A&M system and to the public and private international research community.
Proper citation: Texas A and M Institute for Genomic Medicine (RRID:SCR_001615) Copy
http://neuro.imm.dtu.dk/wiki/Main_Page
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 10, 2025. Semantic wiki with structured information, primarily from functional and molecular neuroimaging papers, but there are also other types of papers, e.g., from personality genetics. It lists results from neuroimaging studies, such as Talairach coordinates and brain volume measurements, as well as software packages and brain regions. SQL dumps of the structured information in the wiki is available so complex queries can be formed. The Brede Wiki templates store the structured information from neuroscience papers and editors may add free format text. Template definitions format the data so it is presented as tables on the formatted wiki-page. From a given PMID a web-service can format information from PubMed for inclusion in the Brede Wiki. A Matlab script can extract coordinates from SPM5 and format them in the Talairach coordinate template format.
Proper citation: Brede Wiki (RRID:SCR_001411) Copy
Global funder of type 1 diabetes (T1D) research that aims to progressively remove the impact of T1D from people's lives until a world without T1D is achieved. JDRF collaborates with a wide spectrum of partners and is the only organization with the scientific resources, regulatory influence, and a working plan to better treat, prevent, and eventually cure T1D. More than 80 percent of JDRF's expenditures directly support research and research-related education. In 2012 Forbes magazine named JDRF one of its five All-Star charities, citing the organization's efficiency and effectiveness. The organization awards research grants for laboratory and clinical investigations and sponsors a variety of career development and research training programs for new and established investigators. JDRF also sponsors international workshops and conferences for biomedical researchers. Individual chapters offer support groups and other activities for families affected by diabetes.
Proper citation: Juvenile Diabetes Research Foundation (RRID:SCR_001522) Copy
http://genecodes.com/sequencher
Software for Next-Generation DNA sequencing, Sanger DNA analysis, and RNA sequencing. It contains sequence analysis tools which include reference-guided alignments, de novo assembly, variant calling, and SNP analyses. It has integrated the Cufflinks suite for in-depth transcript analysis and differential gene expression of RNA-Seq data.
Proper citation: Sequencher (RRID:SCR_001528) Copy
http://www.findmice.org/index.jsp
Database of mouse strains and stocks available worldwide, that will assist international research community in finding mouse resources they need, including inbred, mutant, and genetically engineered mice. IMSR is multi institutional international collaboration supporting use of mouse as model system for studying human biology and disease. IMSR began with initial collaboration between Mouse Genome Informatics (MGI) group at Jackson Laboratory and Medical Research Council Mammalian Genetics Unit at Harwell. Additional institutions and collaborators are now contributing mouse resource information to IMSR. Data content found in IMSR is as it was supplied by data provider sites. You are encouraged to participate in making this database as complete as possible for all worldwide mouse strain resources. If you or your institution hold mice, cryopreserved gametes or embryos, or ES cell lines that you distribute to other researchers, contributing information about them to IMSR catalog will make them more widely known.
Proper citation: International Mouse Strain Resource (RRID:SCR_001526) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022.Center hosting a number of related projects concerning neural networks, functional neuroimaging, multimedia signal processing, and biomedical signal processing. Neuroinformatics is a research field rooted in classical disciplines like signal processing, biology, physics, computer science and engineering. Neuroinformatics combines learning from the brain and learning about the brain. By studying information processing in the brain neuroinformatics invents new computing paradigms (e.g., artificial neural networks) with the objective of understanding the dynamics of the conscious mind. Artificial neural networks is an active neuroinformatics research field, which combines many approaches to adaptive signal processing in solving real world problems. They began using neural networks for general nonlinear adaptive signal processing. Since 1991 the CONNECT groups have participated in the development of neural computing as an advanced, non-linear statistical tool, which has been applied to forecasting within dynamical systems, pattern recognition, and medical image analysis, particularly functional neuroimages. While neural computing has largely been viewed as a black box approach, they have initiated research aimed at opening this black box, using hypertext, multimedia, and interactivity. Their key objective is to convert abstract models into intuitive knowledge through interactive visualization.
Proper citation: THOR Center for Neuroinformatics (RRID:SCR_001400) Copy
Clinical research network to focus on the etiology, contributing factors, natural history, complications, and therapy of nonalcoholic steatohepatitis. They research the nature and underlying cause of Nonalcoholic Steatohepatitis (NASH) and conduct clinical studies on prevention and treatment. Approximately 1,500 pediatric and adult participants throughout the United States and Canada with nonalcoholic fatty liver disease (NAFLD) have enrolled into a database. The NASH CRN has recently reopened the database to enroll additional pediatric and adult participants with NAFLD. Serum, liver tissue, and genomic DNA samples are being collected and stored in the NIDDKrepository for ongoing as well as future studies. A three-arm randomized, placebo-controlled clinical trial of pioglitazone versus vitamin E completed enrollment in 2009. In addition to this adult trial, a similar trial in pediatric NASH patients randomized 180 children to receive treatment with vitamin E, metformin, or placebo.
Proper citation: Nonalcoholic Steatohepatitis Clinical Research Network (RRID:SCR_001519) Copy
Freestanding, nonprofit coordinating center for multi-center clinical trials and epidemiologic research that focus on projects involving eye disorders or type 1 diabetes.
Proper citation: Jaeb Center for Health Research (RRID:SCR_001513) Copy
https://ecl.earthchem.org/view.php?id=329
Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute.
Proper citation: VentDB (RRID:SCR_001632) Copy
http://www.stjudebgem.org/web/mainPage/mainPage.php
This database contains gene expression patterns assembled from mouse nervous tissues at 4 time points throughout brain development including embryonic (e) day 11.5, e15.5, postnatal (p) day 7 and adult p42. Using a high throughput in situ hybridization approach we are assembling expression patterns from selected genes and presenting them in a searchable database. The database includes darkfield images obtained using radioactive probes, reference cresyl violet stained sections, the complete nucleotide sequence of the probes used to generate the data and all the information required to allow users to repeat and extend the analyses. The database is directly linked to Pubmed, LocusLink, Unigene and Gene Ontology Consortium housed at the National Center for Biotechnology Information (NCBI) in the National Library of Medicine. These data are provided freely to promote communication and cooperation among research groups throughout the world.
Proper citation: Brain Gene Expression Map (RRID:SCR_001517) Copy
Web software which helps users create a website or blog. WordPress software can be downloaded and installed with an appropriate web host and minimum requirements. There is also a service called WordPress.com which allows users to get started with a new and free WordPress-based blog in seconds, though it varies in several ways and is less flexible than the self-installed WordPress. An array of plugins and themes are available to further customize a site.
Proper citation: WordPress (RRID:SCR_001518) Copy
International, randomized, double-blinded trial to determine whether weaning to a casein hydrolysate formula during the first 6-8 months of life in place of cow milk based formula reduces the incidence of autoimmunity and type 1 diabetes in genetically susceptible newborn infants. 2160 eligible infants were randomized to test or control formulas when mothers decide to wean from exclusive breastfeeding. The participants will be monitored up to the age of 10 years for the appearance of diabetes-predictive autoantibodies and clinical type 1 diabetes. The TRIGR trial will determine whether delayed exposure to intact food proteins will reduce the chances of developing type 1 diabetes later in life. All babies in the study received the recommendation to breastfeed for at least the first six months of life. If a mother was unable to exclusively breastfeed before the baby was 8 months of age, her child was randomly assigned to one of two groups. One group of these babies received a trial formula based on extensively hydrolyzed protein; the other group received another trial formula containing a smaller amount of hydrolyzed protein. In the hydrolyzed formula, the big protein molecules have been split into very small fragments to provide a source of nutritional amino acids, but the fragments are likely too small to stimulate the immune system. The TRIGR trial will also be able to analyze whether exclusive breastfeeding per se can reduce the risk of the children to develop type 1 diabetes.
Proper citation: TRIGR (RRID:SCR_001550) Copy
http://www.bioconductor.org/packages/release/bioc/html/aroma.light.html
Light-weight software package for normalization and visualization of microarray data using only basic R data types. Software can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.
Proper citation: aroma.light (RRID:SCR_001312) Copy
Project aggregates and provides experimental gene expression data from genito-urinary system. International consortium providing molecular atlas of gene expression for developing organs of GenitoUrinary (GU) tract. Mouse strains to facilitate developmental and functional studies within GU system. Experimental protocols and standard specifications. Tutorials describing GU organogenesis and primary data via database. Data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of developing mouse genitourinary (GU) system.
Proper citation: GenitoUrinary Development Molecular Anatomy Project (RRID:SCR_001554) Copy
Biomedical technology research center that provides state-of-the-art surface analysis expertise, instrumentation, experimental protocols, and data analysis methods to address surface-related biomedical problems. NESAC/BIO develops and applies surface science methodologies that produce a full understanding of the surface composition, structure, spatial distribution, and orientation of biomaterials and adsorbed biomolecules. The NESAC/BIO program identifies areas where surface science must evolve to keep pace with the growth in biochemical knowledge and biomaterial fabrication technology, and develops instrumentation, experimental protocols, and data analysis methods to achieve this evolution. NESAC/BIO provides state-of-the-art surface analysis tools to researchers in the biomedical community. You can gain access to the NESAC/BIO facilities in one of the following ways: * Collaborative: Propose a project to collaborate on with NESAC/BIO. The project should be rewarding for both groups, and the results should reflect the utility of surface analysis for biomedical research * Service: Ask NESAC/BIO to analyze your biomaterial specimens. The spectra obtained from the analyses will be interpreted for you. * Training: Visit the University of Washington to receive training in surface analysis and personally run experiments for your individual research projects. These experiments should have a high probability for yielding useful information and should not involve the development of new ESCA techniques or methodologies.
Proper citation: National ESCA and Surface Analysis Center for Biomedical Problems (RRID:SCR_001430) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/BeadDataPackR.html
Software that provides functionality for the compression and decompression of raw bead-level data from the Illumina BeadArray platform.
Proper citation: BeadDataPackR (RRID:SCR_001310) Copy
https://www.bioconductor.org/packages/release/bioc/html/OLIN.html
Software functions for normalization of two-color microarrays by optimised local regression and for detection of artifacts in microarray data.
Proper citation: OLIN (RRID:SCR_001304) Copy
http://www.bioconductor.org/packages/release/bioc/html/qcmetrics.html
Software package that provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.
Proper citation: qcmetrics (RRID:SCR_001303) Copy
https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html
Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.
Proper citation: DEXUS (RRID:SCR_001309) Copy
http://www.opencolleges.edu.au/informed/learning-strategies/
Interactive infographic of a brain exploring more than 100,000 chemical reactions, highlighted by areas and explanations of what that area is known to do.
Proper citation: Open Colleges Interactive Brain (RRID:SCR_001427) Copy
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