Tools   Select Another Resource Report Type

http://www.kreftregisteret.no/en/

Comprises 3 registries of cancer patients in Norway: the Incidence Registry, the Clinical Registry and Cancer Statistics. The Incidence Registry contains the basic data items collected from clinicians and pathologists, as well as from administrative discharge and mortality sources. It is updated continuously with information on both new cases, as well as cases diagnosed in previous years. All medical doctors in the country are instructed by law to notify new cancer cases. Clinical Registries: Registration of treatment and follow-up of Norwegian cancer patients. Clinical registries comprehensive registration schemes dedicated to specific cancers have been established to include detailed information on diagnostic measures, therapy, and follow-up. Cancer Statistics: Database of cancer statistics. The Cancer Registry of Norway is maintained by the Institute of Population-based Cancer Research and established in 1951. It is one of the oldest national cancer registries in the world. This, combined with the unique personal identification number used in Norway, makes the Cancer Registry''s data suitable, also internationally; by establishing new knowledge through research and spreading information on cancer.

Proper citation: Cancer Registry of Norway (RRID:SCR_008879) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/dickson_lab/

A brain bank and laboratory focused on memory and motor disorders. Brains are sent to the laboratory for diagnosis and research for the State of Florida Alzheimer Disease Initiative and for the Society for Progressive Supranuclear Palsy. As part of this brain banking function, fixed and frozen brain samples are obtained at autopsy and sent to the laboratory for diagnostic evaluation and for various types of research studies. The major types of analyses performed on the brain samples include neuro-histology, immunohistochemistry, confocal microscopy, electron microscopy and image analysis, as well as immunoassays. The latter are based upon Western blotting and enzyme linked immunoassays. The laboratory has a specific interest in the interface between normal aging and Alzheimer's disease, as well as in non-Alzheimer's degenerative disorders such as Lewy body dementia, corticobasal degeneration, progressive supranuclear palsy and frontotemporal dementia. The primary focus of research on aging is neuropathologic characterization of brains of individuals who had been prospectively and longitudinally evaluated during life. These studies aim to determine differences in a range of biologic parameters in brains of people with normal cognitive, mild cognitive impairment and dementia. Their focus on Parkinson's disease is to identify preclinical Parkinson's disease in order to develop means for early diagnosis.

Proper citation: Mayo Clinic Jacksonville: Neuropathology and Microscopy (RRID:SCR_008753) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/~yesavage/ROC.html

Software program designed to help the average clinician/researcher with a PC to evaluate clinical databases and discover the characteristics of patients, including genetics that best predict a binary outcome. That outcome may be any binary outcome such as: * Whether or not the patient has a certain disorder (medical test evaluation) * Whether or not the patient is likely to develop a certain disorder (risk factor evaluation) * Whether or not the patient is likely to respond to a certain treatment (evaluation of treatment moderators) When the predictors considered are themselves all binary (e.g., male/female; inpatient/outpatient; symptoms present/absent), the program identifies the optimal predictor. When one or more of the predictors are ordinal (e.g., age, severity of symptoms) it identifies the optimal cutpoint for each or the ordinal predictors, as well as the overall optimal predictor.

Proper citation: Signal Detection Software for Receiver Operator Characteristics (RRID:SCR_008752) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/asl_spm8/

Quick ASL Wrapper for preprocessing arterial spin labeled (ASL) Data and computing blood flow measurements using UPenn ASL toolbox.

Proper citation: ASL spm8 (RRID:SCR_008873) Copy   

•   Source: SciCrunch Registry

http://genes2mind.org

genes2mind is a tool for rapid exploratory analysis of psychotropic drug-induced gene expression in the brain. We present here an open resource containing comparison of effects of various classes of psychotropic drugs on transcriptional alterations of ~20,000 genes in the mouse brain (C57BL/6J). Data stored in the database include raw gene expression values as well as results of drug comparison. * Genomic Signature Identification section allows for the identification of drug-specific genomic signatures. * Genomic Signature Analysis section allows for further inspection and visualization of the signatures using multidimensional data analysis (PCA), co-expression analysis and heatmaps. * Single Gene Inspection allows for brief review of expression of specific candidate genes using barplots.

Proper citation: genes2mind (RRID:SCR_008872) Copy   

•   Source: SciCrunch Registry

https://www.humanconnectome.org/software/connectome-workbench

Software brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. Used to map brain imaging data. Allows for visualization of outputs from HCP pipelines from single subject, or average data from group of subjects and register that data onto standard brain atlas.

Proper citation: Connectome Workbench (RRID:SCR_008750) Copy   

•   Source: SciCrunch Registry

http://humanconnectome.org/

Consortium to comprehensively map long-distance brain connections and their variability. It is acquiring data and developing analysis pipelines for several modalities of neuroimaging data plus behavioral and genetic data from healthy adults.

Proper citation: Human Connectome Coordination Facility (RRID:SCR_008749) Copy   

•   Source: SciCrunch Registry

http://www.cos.com/

COS mirrors grants.gov and several other funding resources. There may soon be some conditions for access the data. It also allows users to advertise their funding opportunities. COS is the leading global resource for hard-to-find information critical to scientific research and other projects across all disciplines. We aggregate valuable information so you spend less precious time and money searching for the information you need, leaving you more time and money for your projects. Find funding with COS Funding Opportunities: search the world''s most comprehensive funding resource, with more than 25,000 records worth over $33 billion. COS Expertise profiles and profile tools will no longer be available beginning January 18, 2012. Profiles will be available on COS Pivot, the new tool for connecting to funding and collaborators. The COS Funding Opportunities database includes announcements of grants, prizes and other funding available to researchers, educators and students, professionals, nonprofit organizations, and businesses such as faculty or medical staff spin-offs. * More than 25,000 records representing over $33 billion in funding. * Opportunities by sponsors throughout the world for recipients throughout the world. * Sponsors include private foundations, public agencies, national and local governments, corporations and more. * Monies available for work in all disciplines physical sciences, social sciences, life sciences, health & medicine, arts & humanities. * Funding for many purposes, such as research, collaborations, travel, curriculum development, conferences, fellowships, postdoctoral positions, equipment acquisitions, capital or operating expenses. * Updated daily, all information verified with sponsor, edited for consistency and optimized for accurate searching. If you would like to promote your institution''s funding opportunities, have them listed in our COS Funding Opportunities database.

Proper citation: COS (RRID:SCR_008785) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/eagle-i/

Ontology that models research resources such as instruments, protocols, reagents, animal models and biospecimens. It has been developed in the context of the eagle-i project (http://eagle-i.net/) and consists of over 3451 classes of which over 1200 were created within the ERO namespace, while the rest come from existent ontologies such as the Ontology for Biomedical Investigation (OBI), the uber-anatomy ontology (Uberon), VIVO, the Ontology for Clinical Research (OCRe), the Sequence Ontology (SO), the Software Ontology (SWO) and we include terms from the NCBI Taxonomy as well. The main ontology can be browsed in OntoBee. All purls resolve to OntoBee.

Proper citation: eagle-i research resource ontology (RRID:SCR_008784) Copy   

•   Source: SciCrunch Registry

http://cbil.upenn.edu/RUM/

An alignment, junction calling, and feature quantification pipeline specifically designed for Illumina RNA-Seq data.

Proper citation: RUM (RRID:SCR_008818) Copy   

•   Source: SciCrunch Registry

https://github.com/armintoepfer/QuasiRecomb/releases

A jumping hidden Markov model that describes the generation of the viral quasispecies and a method to infer its parameters by analysing next generation sequencing data.

Proper citation: QuasiRecomb (RRID:SCR_008812) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/adrcweb/

Research center investigating the basic mechanisms underlying the development of Alzheimer's disease and related disorders, directing particular attention to biomarkers and experimental new treatments. They also continue to search for genetic risk factors underlying Alzheimer's disease (AD). Their main priorities are to find causes, effective treatments, and prevention strategies. Their investigators also are partnering with other Alzheimer's Centers across the country to evaluate promising new medications and other treatments for AD. The ultimate goal of their basic and clinical studies is to improve patient care and function, and improve the quality of life for both the patient and the caregiver. ADRC Cores: * Administration * Clinical Core * Satellite Core * Data Management & Biostatistics * Neuropathology Core * Education & Information Transfer * Genetics

Proper citation: University of Washington Alzheimers Disease Research Center (RRID:SCR_008814) Copy   

•   Source: SciCrunch Registry

http://www.3dbar.org

Software package for reconstructing three-dimensional models of brain structures from 2-D delineations using a customizable and reproducible workflow. 3dBAR also works as an on-line service (http://service.3dbar.org) offering a variety of functions for the hosted datasets: * downloading reconstructions of desired brain structures in predefined quality levels in various supported formats as well as created using customizable settings, * previewing models as bitmap thumbnails and (for webGL enabled browsers) interactive manipulation (zooming, rotating, etc.) of the structures, * downloading slides from available datasets as SVG drawings. 3dBAR service can also be used by other websites or applications to enhance their functionality. * Operating System: Linux * Programming Language: Python * Supported Data Format: NIfTI-1, Other Format, VRML

Proper citation: 3DBar (RRID:SCR_008896) Copy   

•   Source: SciCrunch Registry

https://www.bio-rad-antibodies.com/

An Antibody supplier. Now called Bio-Rad Antibodies.

Proper citation: AbD Serotec (RRID:SCR_008898) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/antsr

An R extension to ANTs that performs multivariate statistical parametric mapping of DTI, T1 and other datatypes for the purpose of both performing clinical studies and for tracking the performance of ANTs (and other) image processing methodologies. ANTsR depends upon the R statistical language, bash scripts and the ANTs toolkit. Some branches of ANTsR will also depend upon pipedream and specific datasets. Some of these datasets will be open access and, in that case, ANTsR will provide a 100% reproducible neuroimaging study on that data.

Proper citation: ANTsR (RRID:SCR_008891) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/isva/

An algorithm for feature selection in the presence of potential confounding factors.

Proper citation: isva (RRID:SCR_008772) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/ahead/

Open-source turnkey software for automatic hippocampus segmentation. Its primary use is for delineating hippocampus in T1-weighted MRI images. AHEAD is developed by Jung W. Suh, Hongzhi Wang, Sandhitsu Das, Brian Avants, Philip Cook, John Pluta and Paul Yushkevich, and colleagues at the Penn Image Computing and Science Laboratory (PICSL) at the University of Pennsylvania.

Proper citation: AHEAD (RRID:SCR_008890) Copy   

•   Source: SciCrunch Registry

https://genome.unc.edu/xpn/

Merging Two Gene Expression Studies via Cross Platform Normalization.

Proper citation: XPN (RRID:SCR_008845) Copy   

•   Source: SciCrunch Registry

http://mli.nih.gov/mli/

High throughput screening services to identify small molecules that can be optimized as chemical probes to study the functions of genes, cells, and biochemical pathways, along with medicinal chemistry and informatics. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. The NIH Molecular Libraries Initiative NIH is designed to discover small molecules that interact with biologically important proteins and pathways and to provide open access to the bioassay and chemical data generated by its research centers. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. As these HTS Technologies were not previously available to the public sector, many investigators may not be familiar with the components and requirements of high throughput screening. A key challenge is to identify small molecules effective at modulating a given biological process or disease state. The Molecular Libraries Roadmap, through one of its components, the Molecular Libraries Probe Production Centers Network (MLPCN), offers biomedical researchers access to the large-scale screening capacity, along with medicinal chemistry and informatics necessary to identify chemical probes to study the functions of genes, cells, and biochemical pathways. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. There are two kinds of data that are available to the scientific community through a dedicated database: Chemical Compounds and Bioassay Results (NCBI). Various types of data, including informative records on substances, compound structures, and biologically active properties of small molecules are housed respectively within PubChem''''s three primary databases: PCSubstance, PCCompound, and PCBioAssay. To date, PubChem contains over 11 million substance records, details about approximately 5.5 million unique compound structures with links to bioassay descriptions, relevant literature, references, and assay data points and over 250 bioassays, a good percentage of which were contributed by the pilot phase of the MLP. The deposition will continue during the current MLPCN phase. NIH anticipates that these projects will also facilitate the development of new drugs, by providing early stage chemical compounds that will enable researchers in the public and private sectors to validate new drug targets, which could then move into the drug-development pipeline. This is particularly true for rare diseases, which may not be attractive for development by the private sector. Funding opportunities are available through the site.

Proper citation: Molecular Libraries Program (RRID:SCR_008847) Copy   

•   Source: SciCrunch Registry

http://www.smafoundation.org/

The mission of the Spinal Muscular Atrophy Foundation is to accelerate the development of a treatment for SMA, the number one genetic killer of infants and toddlers. To help speed the realization of a treatment or cure, the SMA Foundation is committed to: Developing private sector involvement in SMA drug development by fostering alliances between academia, government, and pharmaceutical and biotechnology companies Increasing government funding and support through targeted efforts to increase Congressional and NIH awareness Raising awareness of SMA among government leaders, members of the pharmaceutical and biotechnology industries, and the public at large

Proper citation: SMA Foundation (RRID:SCR_008840) Copy   

•   Source: SciCrunch Registry