Tools   Select Another Resource Report Type

http://www.twiv.tv/

This Week in Virology (TWiV) is a podcast - or netcast, as some prefer to call them, since you don''t need an iPod to listen - about viruses - the kind that make you sick. Professors Vincent Racaniello, Dickson Despommier, Rich Condit and science writer Alan Dove and guests deconstruct viruses, how they cause illness, and how you can prevent infections. It was begun in September 2008 by Vincent Racaniello and Dick Despommier, two science Professors at Columbia University Medical Center. Their goal was to have an informal yet informative conversation about viruses which would be accessible to everyone, no matter what their science background. We wanted to eventually bring other virologists into the conversation, to make it more varied and interesting. Alan Dove, a science writer, joined us late in 2008; Rich Condit, a poxvirologist, joined in 2009, and Kathy Spindler, an adenovirologist, joined in 2012. We''ve had quite a few guests on the show and we''re always trying to get more. Transcripts A few readers have been kind enough to produce transcripts for several TWiV episodes.

Proper citation: TWiV - This Week in Virology (RRID:SCR_006097) Copy   

•   Source: SciCrunch Registry

https://bdsc.indiana.edu/

Collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations.

Proper citation: Bloomington Drosophila Stock Center (RRID:SCR_006457) Copy   

•   Source: SciCrunch Registry

http://www.sciencemag.org/site/multimedia/podcast/index.xhtml

The Science Podcast takes you on a tour of some interesting stories in the journal and online. * MP3 of this show * Transcript of this show * Subscribe to the Science Podcast RSS Feed

Proper citation: Science Podcast (RRID:SCR_006453) Copy   

•   Source: SciCrunch Registry

http://www.niaid.nih.gov/topics/alps/Pages/default.aspx

A disease-related portal about Autoimmune Lymphoproliferative Syndrome (ALPS) including research in the following categories: Medical and Genetic Description, Database of Mutations, Database of ALPS-FAS Mutations, and Molecular Pathways. Autoimmune Lymphoproliferative Syndrome (ALPS) is a recently recognized disease in which a genetic defect in programmed cell death, or apoptosis, leads to breakdown of lymphocyte homeostasis and normal immunologic tolerance. It is an inherited disorder of the immune system that affects both children and adults. In ALPS, unusually high numbers of white blood cells called lymphocytes accumulate in the lymph nodes, liver, and spleen, which can lead to enlargement of these organs. Database of Mutations * All existing ALPS-FAS mutations (NIH Web site) * ALPS-FAS * ALPS Type Ia (most common type) ** Reported FAS (TNFRSF6) mutations causing ALPS ** Distribution of FAS (TNFRSF6) mutations ** FAS (TNFRSF6) polymorphisms * ALPS Type II

Proper citation: Autoimmune Lymphoproliferative Syndrome Information (RRID:SCR_006451) Copy   

•   Source: SciCrunch Registry

http://www.h-outcomes.com/

Software application that supports the execution of multivariable prediction models with patient-specific characteristics so that personalized estimates of outcomes, often as a function of alternative treatments, can be generated within the routine flow of patient care. This can support evidence-based, shared medical decision-making to improve the safety, outcomes and cost-effectiveness of care. The current application is in the setting of generating individualized informed consent documents for PCI. However, the tool can support that translation of novel biomarkers, genetics and pharmacogenomic interactions into clinical care. The platform gives healthcare providers instantaneous access to the latest clinical prediction models coupled with rich visualization tools. These models may come from national organizations, outcomes researchers or a specific institution. In addition to decision support applications, it can be used to rapidly create personalized educational materials, patient letters, informed consent documents and a broad array of other items that can help elevate the quality of healthcare delivery.

Proper citation: ePRISM (RRID:SCR_006386) Copy   

•   Source: SciCrunch Registry

http://www.shanoir.org/

An open source data sharing and visualization platform for neuroimaging data, that uses the OntoNeuroLOG ontology. Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizard to make the completion of metadata easy. Shanoir comes with many features such as anonymization of data, support for multicenter clinical studies on subjects or group of subjects. Shanoir offers an ontology-based data organization (OntoNeuroLOG). Among other things, this facilitates the reuse of data and metadata, the integration of processed data and provides traceability trough an evolutionary approach. Shanoir allows researchers, clinicians, PhD students and engineers to undertake quality research projects with an emphasis on remote collaboration. As a secured J2EE web application, it therefore allows you safely store and archive, with no more requirements than a computer with an internet connection. Furthermore, Shanoir is not only a web application: it is also a complete neuroinformatics platform in which you can easily integrate your existing processing tools or develop your own ones: see ShanoirTk. Shanoir is a project carried out by the VisAGeS Team, based at IRISA (INRIA Rennes - Bretagne Atlantique Research Centre). This software is released under QPL 1.0 license.

Proper citation: Shanoir (RRID:SCR_006286) Copy   

•   Source: SciCrunch Registry

http://www.nist.gov/index.html

Founded in 1901, NIST (National Institute of Standards and Technology) is a non-regulatory federal agency within the U.S. Department of Commerce. NIST''s mission is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST carries out its mission through the following programs: * the NIST Laboratories, conducting world-class research, often in close collaboration with industry, that advances the nation''s technology infrastructure and helps U.S. companies continually improve products and services; * the Hollings Manufacturing Extension Partnership, a nationwide network of local centers offering technical and business assistance to smaller manufacturers to help them create and retain jobs, increase profits, and save time and money; and * the Baldrige Performance Excellence Program, which promotes performance excellence among U.S. manufacturers, service companies, educational institutions, health care providers, and nonprofit organizations; conducts outreach programs; and manages the annual Malcolm Baldrige National Quality Award which recognizes performance excellence and quality achievement; * From 2007 to 2011, NIST provided cost-shared grants through the Technology Innovation Program, and between 1990 and 2007, it managed the Advanced Technology Program. NIST measurements support the smallest of technologiesnanoscale devices so tiny that tens of thousands can fit on the end of a single human hairto the largest and most complex of human-made creations, from earthquake-resistant skyscrapers to wide-body jetliners to global communication networks. We invite you to explore our web site to learn about our current projects, to find out how you can work with us, or to make use of our products and services. From the smart electric power grid and electronic health records to atomic clocks, advanced nanomaterials, and computer chips, innumerable products and services rely in some way on technology, measurement, and standards provided by the National Institute of Standards and Technology. NIST funds industrial and academic research in a variety of ways. The Small Business Innovation Research Program funds R&D proposals from small businesses. We also offer other grants to encourage work in specific fields: precision measurement, fire research, and materials science. Grants/awards supporting research at industry, academic, and other institutions are available on a competitive basis through several different Institute offices. For general information on NIST grants programs, please contact Christopher Hunton at [email protected] and (301) 975-5718.

Proper citation: NIST - National Institute of Standards and Technology (RRID:SCR_006440) Copy   

•   Source: SciCrunch Registry

http://tigger.uic.edu/~cjeffery/

The moonlighting protein database is not yet available publicly. Stay tuned. Moonlighting proteins have multiple, seemingly unrelated functions not due to gene fusions or alternative splicing. Like PGI, which is a cytosolic enzyme and an extracellular cytokine, dozens of other proteins have been found to moonlight. Connie coined the term moonlighting proteins and has written several review articles that develop the idea of moonlighting proteins and describe additional moonlighting proteins from the literature, how they switch between functions, how they might have evolved, and how they might benefit the cell. She is currently writing two additional invited articles and planning computational studies of the sequences and structures of known moonlighting proteins.

Proper citation: MoonProt (RRID:SCR_008803) Copy   

•   Source: SciCrunch Registry

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

A suite of tools for efficient management of neuroimaging project data. Specifically, DFBIdb was designed to allow users to quickly perform routine management tasks of sorting, archiving, exploring, exporting and organising raw data. DFBIdb was implemented as a collection of Python scripts that maintain a project-based, centralised database that is based on the XCEDE 2 data model. Project data is imported from a filesystem hierarchy of raw files, which is an often-used convention of imaging devices, using a single script that catalogues meta-data into a modified XCEDE 2 data model. During the import process data are reversibly anonymised, archived and compressed. The import script was designed to support multiple file formats and features an extensible framework that can be adapted to novel file formats. Graphical user interfaces are provided for data exploration. DFBIdb includes facilities to export, convert and organise customisable subsets of project data according to user-specified criteria.

Proper citation: DFBIdb (RRID:SCR_009456) Copy   

•   Source: SciCrunch Registry

http://crezoo.crt-dresden.de/crezoo/

Database of helpful set of CreERT2 driver lines expressing in various regions of the developing and adult zebrafish. The lines have been generated via the insertion of a mCherry-T2A-CreERT2 in a gene trap approach or by using promoter fragments driving CreERT2. You can search the list of all transgenic lines or single entries by insertions (gene) or expression patterns (anatomy/region). In most cases the CreERT2 expression profile using in situ hybridization at 24 hpf and 48 hpf is shown, but also additional information (e.g. mCherry or CreERT2 expression at adult stages, transactivation of a Cre-dependent reporter line) is displayed. Currently, not all insertions have been mapped to a genomic location but the database will be regularly updated adding newly generated insertions and mapping information. Your help in improving and broadening the database by giving your opinion or knowledge of expression patterns is highly appreciated.

Proper citation: CreZoo (RRID:SCR_008919) Copy   

•   Source: SciCrunch Registry

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

A FSL package for the comprehensive management of large-scale multi-site fMRI projects, including data storage, retrieval, calibration, analysis, multi-modal integration, and quality control.

Proper citation: FBIRN Image Processing Scripts (RRID:SCR_009471) Copy   

•   Source: SciCrunch Registry

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

A research program associated with bringing together researchers from various disciplines to study the genetic and molecular basis of Parkinson's disease. The program focuses on epidemiological and longitudinal studies of Parkinson's disease, dementia with Lewy bodies, and aging and dementia. It also provides clinical materials for other research projects. This program provides faculty research funds, invited speaker seminar series, sponsorship of movement disorder fellowships, pilot research grants, and support for faculty travel to promote intra-institutional collaborations.

Proper citation: Udall Center of Excellence in Parkinson's Disease Research (RRID:SCR_008778) Copy   

•   Source: SciCrunch Registry

http://www.cori.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 5, 2022. Endoscopic Reporting Software, aggregated and individual research data and tailor-made services aimed to advance the overall practice of endoscopy. It was developed to study outcomes of gastrointestinal (GI) endoscopic procedures in real life settings, using data obtained from the CORI Endoscopic Reporting Software or from other endoscopic reporting software. Practice sites include hospitals, ambulatory care centers, private practices, universities, and Veteran''''s hospitals (VA''''s). The CORI v4 Endoscopic Reporting Software is a specialty Electronic Health Record used to document endoscopic procedures and provide reporting services to your practice. Data from participating providers is also sent to a central data repository to become part of the National Endoscopic Database (NED), which now contains data from over 2.7 million GI procedures. The CORI v4 Endoscopic Reporting Software offers significant benefits for participating practices, providers and patients, as well as for everyone who benefits from CORI''''s research efforts. You may actively participate in research with CORI. If you have ideas for research using the NED, their research team can help you evaluate those ideas, collect and analyze the data. In addition, you may choose to participate in one of the prospective research projects conducted by CORI research staff.

Proper citation: Clinical Outcomes Research Initiative (RRID:SCR_009010) Copy   

•   Source: SciCrunch Registry

http://www.muschealth.com/multimedia/Podcasts/index.aspx?type=main

The MUSChealth.com Podcast Library, featuring podcasts on a variety of topics related to your health and our services here at MUSC. These medical podcasts are hosted by MUSC faculty, physicians and special guests and are produced and directed by Linda Austin, M.D. Current topics include: * Academics and Education * Aging, Geriatrics and Caregiving * Alcohol and Drug Dependency * Allergies and Asthma * Ashley River Tower * Bones, Joints, Muscles and Spine * Cancer * Children''s Health * Cosmetic Surgery * Dental * Dermatology/Skin Problems * Diabetes, Endocrinology and Metabolism * Digestive Health * ENT: Ear, Nose and Throat * Executive Health * Eye Health * General Health and Wellness * Heart and Vascular Health * Hospice * Kohl''s Take a Minute for Kids * Lungs and Breathing * Men''s Health * Mental Health * MUSC News and Events * Neurological Health * Organ Transplant * Osteoporosis * Pregnancy - Week by Week * Pregnancy and Childbirth * Radiology * Research and Clinical Trials * SC Health, Leadership and Policy * Sports Medicine * Stroke * Urology * Weight Loss Surgery Follow-up * Weight Management * Women''s Health

Proper citation: MUSC Health Podcast Library (RRID:SCR_008827) Copy   

•   Source: SciCrunch Registry

http://www.prabi.fr/

The PRABI is the Rhone-Alpes Bioinformatics Center, a IBISA platform member of the RENABI (the French network of bioinformatic platforms). It gathers 11 research teams spread on 4 different sites. The PRABI has research, service and training activities in a large number of bioinformatics and biostatistics fields.

Proper citation: PRABI (RRID:SCR_010522) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/emory-university

THIS RESOURCE IS NO LONGER IN SERVICE,documented on February 3rd,2022.

Proper citation: Emory University Labs and Facilities (RRID:SCR_011031) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/rutgers-university

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 3rd, 2022.

Proper citation: Rutgers University Labs and Facilities (RRID:SCR_010990) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/iowa-state-university

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 3rd, 2022.

Proper citation: Iowa State University Labs and Facilities (RRID:SCR_011052) Copy   

•   Source: SciCrunch Registry

https://github.com/hyattpd/Prodigal

Software tool for protein coding gene prediction for prokaryotic genomes.

Proper citation: Prodigal (RRID:SCR_011936) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/duke-university

An Portal, Core facility

Proper citation: Duke University Labs and Facilities (RRID:SCR_012445) Copy   

•   Source: SciCrunch Registry