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http://www.unil.ch/dafl

The Lausanne Genomics Technologies Facility (GTF) is a genomic technologies core laboratory serving the Lausanne and Lemanic region research community. It is housed in and administered by the Center for Integrative Genomics. The GTF offers a range of microarrays services, including : providing access to the instrumentation and the consumables that are required for the use of the pre-printed oligonucleotide microarrays available from Affymetrix and Illumina as well as miRNA gene microarrays from Agilent Technologies providing access to and supporting applications using the Illumina Genome Analyzer 2 ultra high throughput DNA sequencing platform providing access to the instrumentation and the consumables that are required for performing quantitative real-time PCR analyses using the Applied Biosystems 7900HT Sequence Detection System. providing bioinformatics support and consultation services at the stages of experimental design, data collection and storage, image analysis and data analysis acting as a center of experience, expertise and training in microarray and quantitative PCR technologies and methodologies. Laboratory space and computer workstations are available to users wanting to perform the experiments and/or analyses in the facility. The GTF also acts as an information clearing house for the user community by providing a forum for the sharing of methods, protocols and experience generated by the GTF and community scientists using microarray and quantitative PCR technology investigating and implementing, when appropriate, microarray-based methods for applications other than gene expression monitoring (e.g. SNP detection) participating in the evaluation of new RNA expression profiling and nucleic hybridization detection technologies as they develop and incorporate the appropriate technologies into the services offered by the facility

Proper citation: Lausanne Genomic Technologies Facility (RRID:SCR_008468) Copy   

•   Source: SciCrunch Registry

http://www.xiphophorus.txstate.edu/

Supplier of xiphophorus (platyfish or swordtails) from pedigreed parental lines, representing variety of species. In addition to supplying strains and providing consultation on husbandry and genetic questions, the XGSC produces custom interspecies hybrids (both first generation F1, and backcross hybrid generation BC1) for a variety of projects.

Proper citation: Xiphophorus Genetic Stock Center (RRID:SCR_008340) 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://tide.dfci.harvard.edu/login/

Web platform for large-scale public data reuse to model immunotherapy response and resistance. Provides integrated large-scale omics data and biomarkers on published ICB trials, non-immunotherapy tumor profiles, and CRISPR screens.

Proper citation: TIDE (RRID:SCR_026350) Copy   

•   Source: SciCrunch Registry

https://www.polebio.lrsv.ups-tlse.fr/WallProtDB/

Database resource for plant cell wall proteomics. Aims at collecting cell wall proteomic experimental data. For each experiment, a scheme summarizing the strategy used for protein isolation and identification is provided.

Proper citation: WallProtDB (RRID:SCR_026506) Copy   

•   Source: SciCrunch Registry

https://www.plasticsurgeryhome.in

Website serves as digital resource for plastic surgery professionals. Educational and resource platform dedicated to plastic surgeons, trainees, and researchers. Provides access to curated content, including links to major plastic surgery societies, journal repositories, clinical resources, and upcoming events. Serves as comprehensive hub for continuous professional development and collaboration in the field of plastic surgery.

Proper citation: Plastic Surgery Home (RRID:SCR_026487) Copy   

•   Source: SciCrunch Registry

https://www.iana.org/time-zones

Database contains code and data that represent the history of local time for many representative locations around the globe. It is updated periodically to reflect changes made by political bodies to time zone boundaries, UTC offsets, and daylight-saving rules.

Proper citation: Time Zone Database (RRID:SCR_026492) Copy   

•   Source: SciCrunch Registry

https://endomap.hms.harvard.edu/

Structural interactome viewer. Interactive database of endosomal protein-protein interactions identified by cross-linking mass spectrometry and modeled by AlphaFold multimer. Structural protein interactome of human early endosomes.

Proper citation: EndoMap (RRID:SCR_026690) Copy   

•   Source: SciCrunch Registry

https://markerdb.ca/

Database that attempts to consolidate information on known clinical and selected set of pre-clinical biomarkers into single resource. Database includes five major types of biomarkers (condition specific, protein, chemical, karyotypic and genetic) and six biomarker categories (diagnostic, risk, prognostic, safety, monitoring, and response). Provides information such as: biomarker names and synonyms, associated conditions or pathologies, detailed disease descriptions, detailed biomarker descriptions, biomarker specificity, sensitivity and ROC curves, standard reference values (for protein and chemical markers), variants (for SNP or genetic markers), sequence information (for genetic and protein markers), molecular 2D and 3D structures (for protein and chemical markers), tissue or biofluid sources (for protein and chemical markers), chromosomal location and structure (for genetic and karyotype markers), clinical approval status and relevant literature references. Users can browse the data by conditions, condition categories, biomarker types, biomarker categories or search by sequence similarity through the advanced search function.

Proper citation: MarkerDB (RRID:SCR_026817) Copy   

•   Source: SciCrunch Registry

https://microbiomap.org

Microbial ecology dataset describing the composition of publicly available human microbiome samples deposited in INSDC databases (Sequence Read Archive, European Nucleotide Archive, Digital Data Bank of Japan). Genus-level read counts are available for more than 168,000 samples from around the world, with additional curated metadata for samples and projects.

Proper citation: Human Microbiome Compendium (RRID:SCR_026991) Copy   

•   Source: SciCrunch Registry

https://tp53.cancer.gov/

Database compiles various types of data and information from literature and generalist databases on human TP53 gene variations related to cancer.

Proper citation: TP53 Database (RRID:SCR_026878) Copy   

•   Source: SciCrunch Registry

https://agvd.h3abionet.org/

Database for exploring genomic variation data within African populations.

Proper citation: African Genome Variation Database (RRID:SCR_026917) Copy   

•   Source: SciCrunch Registry

https://opendata.cbs.nl/#/CBS/nl/dataset/85457NED

Database of Statistics Netherlands (CBS). Contains lifestyle data of Dutch population living in private households. The numbers can be broken down by various personal characteristics.

Proper citation: CBS StatLine - Lifestyle (RRID:SCR_027121) Copy   

•   Source: SciCrunch Registry