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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.
Core provides mass spectrometers including Thermo Q Exactive Plus,Bruker impact II ,Bruker microflex LRF,Bruker ULTRAFLEX III,Shimadzu GCMS-QP2010S,Waters Acquity LCMS.
Proper citation: University of Wisconsin-Madison Chemistry Instrumentation Center - Mass Spectrometry Core Facility (RRID:SCR_017931) Copy
https://www.unh.edu/research/welcome-university-instrumentation-center
University wide core facility offers NMR,SEM including FIB, EBS, EBSD, Tensile Stage,Confocal,X-Ray Photoelectron Spectroscopy,X-Ray Microscope aka Micro CT, Expert analysis of research and industrial samples,Training in scientific instrument operation and data analysis, Maintenance, repair, and calibration of instruments,Specialty instrument engineering design and application services,Facilitation of access to scientific instruments throughout the university.
Proper citation: University of New Hampshire University Instrumentation Center Core Facility (RRID:SCR_021101) Copy
https://www.boisestate.edu/brc/home/
Designed to provide supportive environment for interdisciplinary research and education with opportunities for students and faculty members alike with focus on biomolecules study with emphasis on proteins and protein interactions. Provides instrumentation and facilities for characterization of biomolecules and their role in variety of biomedical and environmental processes. Partnerships between Center and Idaho-BRIN/INBRE, UI, ISU, Boise VA Medical Center, College of Idaho, and Northwest Nazarene University. BRC provides seminars, training workshops, and other networking opportunities.
Proper citation: Boise State University Biomolecular Research Center Core Facility (RRID:SCR_019174) Copy
https://www.biotech.cornell.edu/core-facilities-brc/facilities/epigenomics-facility
Provides service that maps protein DNA interactions genome wide, tracks experimental metadata, and implements quality controlled data processing and research based analysis pipelines. Provides epigenomic and bioinformatic research resources and services that include sample preparation services and data generation. Open source platforms enable and reinforce FAIR data practices. Core is able to receive and process cell and tissue samples for various diagnostic epigenetic assays.
Proper citation: Cornell University BRC Epigenomics Core Facility (RRID:SCR_021287) Copy
Software tools and databases for plant genomics.
Proper citation: PlantGDB (RRID:SCR_013166) Copy
An international collaborative effort to develop and enrich new and existing reference ontologies for plants, improve ontology use and cross-references, and to develop data annotation standards. Users can search for ontology terms and bioentities and submit the ontology-related term requests by visiting the following GitHub request trackers.
Proper citation: Planteome (RRID:SCR_014411) Copy
http://research.bioinformatics.udel.edu/iptmnet/
A protein database which connects multiple disparate bioinformatics tools and systems text mining, data mining, analysis and visualization tools, and databases and ontologies.
Proper citation: iPTMnet (RRID:SCR_014416) Copy
http://www.algalresourcescollection.com/
Supplier of algae strains that aims to be a resource to both the HAB research community and biotechnological applications. Researchers can order and deposit strains with the ARC.
Proper citation: Algal Resources Collection (RRID:SCR_014942) Copy
Web accessible database for visualizing and mining global yeast genetic interaction network. Allows users to easily access, visualize, explore, and functionally annotate genetic interactions, or to extract and reorganize sub networks, using data driven network layouts in intuitive and interactive manner. Used for storing and visualizing genetic interactions in S. cerevisiae.
Proper citation: TheCellMap (RRID:SCR_018728) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A database that lists, reviews, and rates resources for teaching neuroscience at the graduate and undergraduate level.
Proper citation: Educational Resources in Neuroscience (RRID:SCR_000169) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 8, 2017. Service that aggregates altmetrics: diverse impacts from articles, datasets, blog posts, and more, to create a measure of the impact of scholarly output. * view metrics: Point to research products in Slideshare, GitHub, and Dryad. Import items from Google Scholar profiles or a BibTex file and the output is a metrics report that can be viewed and shared. * embed anywhere: Use the full-featured API to add metrics to projects. Or drop the embeddable Javascript widget into a publishing platform''s HTML. * Free - metrics data (and source code). They believe open altmetrics are key for building the coming era of Web-native science.
Proper citation: total impact.org (RRID:SCR_005952) Copy
http://www.cise.ufl.edu/~tichen/ShapeComplexAtlas.zip
A Matlab demo for constructing a neuro-anatomical shape complex atlas from 3D MRI brain structures, based on the paper Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk and Baba C. Vemuri, Construction of a Neuroanatomical Shape Complex Atlas from 3D MRI Brain Structures. In NeuroImage, Volume 60, Page 1778-1787, 2012
Proper citation: ShapeComplexAtlas (RRID:SCR_002553) Copy
A desktop application for push-button automated sequence analysis that can utilize cloud computing resources. CloVR is implemented as a single portable virtual machine (VM) that provides several automated analysis pipelines for microbial genomics, including 16S, whole genome and metagenome sequence analysis. The CloVR VM runs on a personal computer, utilizes local computer resources and requires minimal installation, addressing key challenges in deploying bioinformatics workflows. In addition CloVR supports use of remote cloud computing resources to improve performance for large-scale sequence processing.
Proper citation: CloVR (RRID:SCR_005290) Copy
A Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run. Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. This Python-based, cross-platform, open-source software toolbox software toolbox for the application of classifier-based analysis techniques to fMRI datasets makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages.
Proper citation: PyMVPA (RRID:SCR_006099) Copy
http://www.icn.ucl.ac.uk/motorcontrol/imaging/propatlas.htm
A probabilistic atlas of the cerebellar lobules in the space defined by the MNI152 template. The anatomical definitions are based on the fMRI atlas of an individual cerebellum by Schmahmann et al. (2000). To obtain a representative anatomical atlas, we separately masked the lobules on T1-weighted MRI scans (1mm isotropic resolution) of 20 healthy young participants (10 male, 10 female, average age 23.7 yrs). Using a different set of 23 participants, we also masked the deep cerebellar nucelei. These cerebella were then aligned using different commonly used normalization algorithms. The resultant probabilistic maps allow for the valid assignment of functional activations to specific cerebellar lobules and the nuclei, while providing a quantitative measure of the certainty of such assignments. Furthermore, maximum probability maps derived from these atlases can be used to define regions of interest (ROIs) in functional neuroimaging and neuroanatomical research. The atlas is included in the newer releases of FSL and the Anatomy toolbox. More version of the atlases for use with MRICroN are also available.
Proper citation: Probabilistic atlas of the human cerebellum (RRID:SCR_008797) Copy
Provides light stable isotope ratio analysis services to scientists from UCSC and from around the world.
Proper citation: University of California at Santa Cruz Stable Isotope Laboratory Core Facility (RRID:SCR_022947) Copy
SOCR designs, validates and freely disseminates knowledge. The Resource develops AI/ML tools, mathematical models, and end-to-end data analytic protocols for biomedical and health studies. It provides portable online aids for probability, statistics and health science education, promotes technology enhanced instruction, supports efficient statistical computing, supports AI-services, and advances predictive big data analytics. The SOCR platform includes repository of interactive apps, datasets and case-studies, computational tools, visualization approaches, instructional resources, learning materials, and curricular components. SOCR faculty, staff, and students support data and information science collaborations and analytic partnerships involving biomedical, healthcare, and biostatistical investigations.
Proper citation: University of Michigan Statistics Online Computational Resource Core Facility (RRID:SCR_022917) Copy
BioPolymers, Automated Cellular Infrastructure, Flow, and Integrated Chemistry Materials Innovation Platform is platform dedicated to scalable production of bio-derived building blocks and polymers from yeast, fungi, and bacteria. Automated high-throughput synthesis and characterization of bio-derived polymers aims to accelerate discovery and speed development of new high-performance materials.
Proper citation: University of California BioPACIFIC MIP Core Facility (RRID:SCR_023540) Copy
https://www.cores.emory.edu/iemc/
Core helps investigators use the latest technologies on structural research in their projects. Provides expertise in experimental needs.
Proper citation: Emory University Robert P. Apkarian Integrated Electron Microscopy Core Facility (RRID:SCR_023537) Copy
Provides distributed services from Universities of Connecticut, Georgia, and Wisconsin to democratize application of high-field NMR spectroscopy for applications in biomedicine, materials science, and chemistry. Multi-institution collaboration creating distributed research infrastructure for NMR applications including resource discovery, access to NMR spectrometers, ranging from bench top to ultra-high field, knowledgebases on best practices, and data archiving and sharing.
Proper citation: NSF Network for Advanced NMR (RRID:SCR_025092) Copy
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