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http://www.diabetestrialnet.org/

International network of researchers who are exploring ways to prevent, delay and reverse the progression of type 1 diabetes. It is conducting clinical trials with researchers from 18 Clinical Centers in the United States, Canada, Finland, United Kingdom, Italy, Germany, Australia and New Zealand. In addition, more than 150 medical centers and physician offices are participating in the TrialNet network. Studies are available for people newly diagnosed with type 1 diabetes, as well as for relatives of people with type 1 diabetes who are at greater risk of developing the disease. This NIH-sponsored clinical trials network conducts studies designed to evaluate new approaches to prevent or ameliorate type 1 diabetes specifically by interdicting the type 1 diabetes disease process. These include interventions designed to decrease beta-cell destruction and/or enhance beta-cell survival. Studies are conducted in non-diabetic persons at risk of type 1 diabetes in an effort to delay the development of type 1 diabetes as a clinical disease; or (if initiated prior to appearance of autoimmunity) in an effort to delay the appearance of autoimmunity; or in individuals with type 1 diabetes who are either newly diagnosed or have evidence of sustained beta cell function. Studies include long-term follow-up of subjects developing type 1 diabetes. The TrialNet network also supports natural history and genetics studies in populations screened for or enrolled in studies conducted by the TrialNet study group. In addition, TrialNet will evaluate methodologies that enhance the conduct of clinical trials interdicting the type 1 diabetes disease process.

Proper citation: Type 1 Diabetes TrialNet (RRID:SCR_001508) Copy   

•   Source: SciCrunch Registry

http://ancora.genereg.net/

Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements.

Proper citation: Ancora (RRID:SCR_001623) Copy   

•   Source: SciCrunch Registry

http://www.statepi.jhsph.edu/ckid/

Prospective, observational cohort study of children with mild to moderate chronic kidney disease (CKD) to: (1) determine risk factors for progression of pediatric chronic kidney disease (CKD); (2) examine the impact of CKD on neurocognitive development; (3) examine the impact of CKD on risk factors for cardiovascular disease, and; (4) examine the impact of CKD on growth. The CKiD study population will include a cohort of 540 children, age 1 16 years, expected to be enrolled over a 24-month period.

Proper citation: CKID A Prospective Cohort Study of Kidney Disease in Children (RRID:SCR_001500) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.4/bioc/html/rMAT.html

Software package for normalizing and analyzing tiling arrays and ChIP-chip data. It is the R-version of a MAT program.

Proper citation: rMAT (RRID:SCR_001583) Copy   

•   Source: SciCrunch Registry

http://www.citregistry.org/

Collect, analyze, and communicate on comprehensive and current data on all islet/beta cell transplants in human recipients performed in North America, as well as some European and Australian centers to expedite progress and promote safety in islet/beta cell transplantation. This site serves as a repository for general information concerning protocols, clinical transplantation sites, publications, and other information of interest to the general community. Annual Reports are available. Islet/beta cell transplantation is a complex procedure with many factors contributing to the outcome. Compiling and analyzing data from all transplant centers in the US, Canada, as well as some European and Australian centers will accelerate the identification of both critical risk factors and key determinants of success and thereby guide transplant centers in developing and refining islet/beta cell transplant protocols. The inclusion of the term collaborative in the name of the Registry emphasizes the importance of collaboration in fulfilling the CITR mission and goals. Close collaboration with the transplant centers will ensure that relevant questions are addressed, that data submitted are accurate and complete, and that the needs of the transplant community are served. Information on how to participate as a CITR Transplant Center and to receive a transplant center application is available through the website. Progress in islet transplantation depends entirely on complete, high-quality medical data, including the information patients consented to report to the Collaborative Islet Transplant Registry. To make it as easy as possible to provide updated information about patient's health, an on-line questionnaire is available or patients can mail it to their transplant center. This information is very important in the continuing search for a cure for Type 1 diabetes.

Proper citation: Collaborative Islet Transplant Registry (RRID:SCR_001466) Copy   

•   Source: SciCrunch Registry

http://neuronalarchitects.com/ibiofind.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 WPF / OWL / REST / JSON / SPARQL multi-threaded, parallel desktop application enables the construction of biomedical knowledge through PubMed, ScienceDirect, EndNote and NIH Grant repositories for tracking the work of medical researchers for ranking and recommendations. Users can crawl web sites, build latent semantic indices to generate literature searches for both Clinical Translation Science Award and non-CTSA institutions, examine publications, build Bayesian networks for neural correlates, gene to gene interactions, protein to protein interactions and as well drug treatment hypotheses. Furthermore, one can easily access potential researcher information, monitor and evolve their networks and search for possible collaborators and software tools for creating biomedical informatics products. The application is designed to work with the ModelMaker, R, Neural Maestro, Lucene, EndNote and MindGenius applications to improve the quality and quantity of medical research. iBIOFind interfaces with both eNeoTutor and ModelMaker 2013 Web Services Implementation in .NET for eNeoTutor to aid instructors to build neuroscience courses as well as rare diseases. Added: Rare Disease Explorer: The Visualization of Rare Disease, Gene and Protein Networks application module. Cinematics for the Image Finder from Yale. The ability to automatically generate and update websites for rare diseases. Cytoscape integration for the construction and visualization of pathways for Molecular targets of Model Organisms. Productivity metrics for medical researchers in rare diseases. iBIOFind 2013 database now includes over 150 medical schools in the US along with Clinical Translational Science Award Institutions for the generation of biomedical knowledge, biomedical informatics and Researcher Profiles.

Proper citation: iBIOFind (RRID:SCR_001587) Copy   

•   Source: SciCrunch Registry

https://phenogen.org

Website for analyzing microarray data. Software toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for candidate genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct in-silico microarray experiments using their own and/or shared data. There are five major sections of the site: Genome/Transcriptome Data Browser, Microarray Analysis Tools, Gene List Analysis Tools, QTL Tools, and Downloads. The genome/transcriptome data browser combines a genome browser with all the microarray, RNA-Seq, and Genomic Sequencing data. This provides an effective platform to view all of this data side by side. Source code is available on GitHub.

Proper citation: PhenoGen Informatics (RRID:SCR_001613) Copy   

•   Source: SciCrunch Registry

https://wiki.phenoscape.org/wiki/Teleost_Anatomy_Ontology

A multi-species anatomy ontology for teleost fishes. It was originally seeded from ZFA, but covers terms relevant to other taxa. The TAO uses terms from the Common Anatomy Reference Ontology (CARO) as a template for its upper level nodes, and the Vertebrate Skeletal Anatomy Ontology (VSAO) for general skeletal anatomy classes. Growth of the TAO is enabled by contributions from data curators and the ichthyological community. The TAO can be browsed by using the NCBO BioPortal and data annotated using TAO terms can be queried using the Phenoscape Knowedgebase.

Proper citation: Teleost Anatomy Ontology (RRID:SCR_001610) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/CGHcall.html

Software that calls aberrations for array CGH data using a six state mixture model and several biological concepts. It is written in R.

Proper citation: CGHcall (RRID:SCR_001578) Copy   

•   Source: SciCrunch Registry

http://www.norcomm.org/index.htm

Large-scale research initiative focused on developing and distributing a library of mouse embryonic stem (ES) cell lines carrying single gene trapped or targeted mutations across the mouse genome. NorCOMM's large and growing archive of ES cells is publicly available on a cost-recovery basis from the Canadian Mouse Mutant Repository. As an international public resource, access to clones is unrestricted and nonexclusive. Through NorCOMM's affiliation with the Canadian Mouse Consortium (CMC), NorCOMM also provides clients with a single point of access to regional mouse derivation, phenotyping, genetic and archiving services across Canada. These value-added services can help your company harness NorCOMM's resources for drug discovery, target discovery and preclinical validation.

Proper citation: North American Conditional Mouse Mutagenesis Project (RRID:SCR_001614) Copy   

•   Source: SciCrunch Registry

http://www.tigm.org/

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   

•   Source: SciCrunch Registry

http://www.cincinnatichildrens.org/research/divisions/t/teen-labs/default/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Consortium made up of five clinical centers and a data coordinating center. The goal of Teen-LABS is to conduct clinical, epidemiological, and behavioral research in adolescent bariatric surgery, through an observational prospective study protocol. Teen-LABS is an ancillary study to LABS, an observational study of adult bariatric surgery. Research staff, certified in standardized uniform data collection according to the protocol, collect data at pre-operative research visits, at surgery, 30 days and six months post-operative, and annual post-operative research visits at the five participating centers.

Proper citation: Teen-Longitudinal Assessment of Bariatric Surgery (RRID:SCR_001492) Copy   

•   Source: SciCrunch Registry

http://ilyinlab.org/friend/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities such as: structure visualization with different rendering and coloring, sequence alignment, and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including: structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions, and protein super-families. Friend is also useful for the functional annotation of proteins, protein modeling, and protein folding studies. Friend provides three levels of usage; 1) an extensive GUI for a scientist with no programming experience, 2) a command line interface for scripting for a scientist with some programming experience, and 3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases.

Proper citation: An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application (RRID:SCR_001646) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://www.uniklinik-freiburg.de/mr-en/research-groups/diffperf/fibertools.html

Implemented under MATLAB, this DTI image processing toolbox provides import-filters for several MR file standards, a processing unit to calculate the diffusion tensors; several GUI based tools to calculate fiber tracks and to evaluate the DTI dataset. The results can be filed as images with 3D impression or can be logged in formatted ASCII files. Tools and features: * DTI Processing Unit: Calculates the diffusion tensors and their eigenvalues and eigenvectors. Different file formats are supported (like DICOM, Bruker, binary files, Matlab structures). The standard SIEMENS and GE diffusion encoding schemes are supported; other schemes have to be defined in a separate text, .m or .mat file. * FiberTracking: ** Fiber tracking is realized by using the FACT algorithm (Mori et al., Annal. Neurol 1999). ** Probabilistic tracking realized by using the PiCo (Parker et al., JMRI 2003) approach but with DTI data as basis. It is possible to extract pathways between two seeds by combining two maps (Kreher et al., NeuroImage 2008). ** Global Fiber Tracking on basis of HARDI or DTI data. The method is based on the approach reported in (Marco Reisert et al: Global fiber reconstruction becomes practical. NeuroImage 54(2):955-62) * FiberViewer: ** Visualization and Navigation through different data modalities like DTI maps, fiber tracks, diffusion main directions. ** Supports different kinds of DTI maps (e.g. FA, Trace, lambda images ) ** Creation and manipulation of mask based ROIs. ** Selection of streamline fibers ** Visualization of probabilistic fiber tracking results ** Documentation by logging statistics of ROIs and fiber tracks into text files. ** Import/Export from/to ANALYZE or Nifti * 3D Visualizer: Visualization of map slices, ROIs, and fiber tracks with 3D impression. * Batch Editor: Automatic processing of high amounts of data. Possibility to link processing with SPM8 easily.

Proper citation: DTI and Fibertools Software Package (RRID:SCR_001641) Copy   

•   Source: SciCrunch Registry

http://globin.cse.psu.edu/

Data and tools for studying the function of DNA sequences, with an emphasis on those involved in the production of hemoglobin. It includes information about naturally-occurring human hemoglobin mutations and their effects, experimental data related to the regulation of the beta-like globin gene cluster, and software tools for comparing sequences with one another to discover regions that are likely to play significant roles.

Proper citation: Globin Gene Server (RRID:SCR_001480) Copy   

•   Source: SciCrunch Registry

https://jhuccs1.us/nash/

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   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/study/45

Study group and network for a 2008 longitudinal study for the etiology, diagnosis, treatment, and outcome of acute liver failure in infants, children, and adolescents. Data from patients include urine, bile, serum, liver tissue, cell lines derived from fibroblast culture, and DNA.

Proper citation: Pediatric Acute Liver Failure Study (RRID:SCR_001478) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry