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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.
Biomedical technology research center that develops and makes available to the scientific community high performance computing algorithms, tools and software to leverage modeling efforts at disparate scales of structural biology, cellular microphysiology and large-scale bioimage processing and analysis, with the goal of advancing understanding of the molecular and cellular organization and functional mechanisms that underlie synaptic signaling and regulation.
Proper citation: National Center for Multiscale Modeling of Biological Systems (RRID:SCR_009005) Copy
Provides high-performance tandem mass spectrometry and proteomics, including multiplexed quantitative comparative analysis of protein and post-translational modifications, and a suite of tools for the analysis of mass spectrometry proteomics data. It provides both scientific and technical expertise and state-of-the-art high-performance, tandem mass spectrometric instrumentation. The facility also provides a service for small molecule analysis. Significant instrumentation in the facility includes three QSTAR quadrupole orthogonal time of flight instruments, and both an LTQ-Orbitrap platform with electron transfer dissociation (ETD) and an LTQ-FT linear ion trap FT-ICR instrument equipped with the ability to perform electron capture dissociation (ECD). The Center also has a 4700 Proteomic Analyzer MALDI tandem time of flight instrument; as well as a QTRAP 5500 hybrid triple quadrupole linear ion trap instrument; and a Thermo Fisher LTQ Orbitrap Velos. Major research focuses within the Center are the analysis of post-translational modifications, including phosphorylation and O-GlcNAcylation and development of methods for quantitative comparative analysis of protein and post-translational modification levels. The program also continues to develop one of the leading suites of tools for analysis of mass spectrometry proteomics data, Protein Prospector. The current web-based release allows unrestricted searching of MS and MSMS data, as well as the ability to perform comparative quantitative analysis of samples using isotopic-labeling reagents. It is the only freely-available web-based resource that allows this type of analysis.
Proper citation: National Bio-Organic Biomedical Mass Spectrometry Resource Center (RRID:SCR_009004) Copy
https://hdpm.biomedinfolab.com/netmage/
Web tool for automated generation of interactive disease-disease network visualizations given input PheWAS summary data. Given genetic associations from Phenome-Wide Association Study, disease-disease network can be constructed where nodes represent phenotypes and edges represent shared genetic associations between phenotypes.
Proper citation: NETMAGE (RRID:SCR_021843) Copy
http://scicrunch.org/resources
Portal providing identifiers for Antibodies, Model Organisms, and Tools (software, databases, services) created in support of the Resource Identification Initiative, which aims to promote research resource identification, discovery, and reuse. The portal offers a central location for obtaining and exploring Research Resource Identifiers (RRIDs) - persistent and unique identifiers for referencing a research resource. A critical goal of the RII is the widespread adoption of RRIDs to cite resources in the biomedical literature and other places that reference their generation or use. RRIDs use established community identifiers where they exist, and are cross-referenced in their system where more than one identifier exists for a single resource.
Proper citation: Resource Identification Portal (RRID:SCR_004098) Copy
http://publications.nigms.nih.gov/insidelifescience/
The NIGMS Inside Life Science series brings you inside the science of health. Each story shows how basic biomedical researchfrom the history of a field to the people doing cutting-edge work todaylays the foundation for advances in disease diagnosis, treatment and prevention. Through explorations of how the body works and highlights from recent studies, you''ll discover even more on what scientists have found and are finding about fundamental life processes. NIGMS supported all of the featured research.
Proper citation: NIGMS Inside Life Science (RRID:SCR_005852) Copy
http://compbio.cs.princeton.edu/conservation/
Software for scoring protein sequence conservation using the Jensen-Shannon divergence. It can be used to predict catalytic sites and residues near bound ligands.
Proper citation: Conservation (RRID:SCR_016064) Copy
https://sourceforge.net/projects/saint-apms/files/
Software tool for upgraded implementation of probabilistic scoring of affinity purification mass spectrometry data. Used for filtering high confidence interaction data from affinity purification mass spectrometry experiments. Used for assigning confidence scores to protein-protein interactions based on quantitative proteomics data in AP-MS experiments.
Proper citation: SAINTexpress (RRID:SCR_018562) Copy
Interactive Python based interface to Rosetta molecular modeling suite. Stand alone Python based implementation of Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using major Rosetta sampling and scoring functions.
Proper citation: PyRosetta (RRID:SCR_018541) Copy
https://psbweb05.psb.ugent.be/conet/microbialnetworks/spieceasi.php
Software R package estimates inverse covariance matrix from sequencing data.Statistical method for inference of microbial ecological networks from amplicon sequencing datasets.
Proper citation: Sparse Inverse Covariance Estimation for Ecological Association Inference (RRID:SCR_022646) Copy
https://cran.r-project.org/web/packages/BGLR/
Software R package implements large collection of Bayesian regression models, including parametric variable selection and shrinkage methods and semiparametric procedures.
Proper citation: Bayesian Generalized Linear Regression (RRID:SCR_022522) Copy
Facility provides instrumentation and scientific support for single cell analysis and sorting. Routinely performs analysis of both eukaryotic and prokaryotic cells for expression of intracellular and extracellular proteins, cell cycle, cell proliferation, cytokine production, and cell sorting based on expression of cell surface antigen(s) and/or expression of genetically engineered intercellular fluorescent proteins.
Proper citation: West Virginia University Flow Cytometry and Single Cell Core Facility (RRID:SCR_017738) Copy
https://mbim.uams.edu/research-cores/flow-cytometry-core-facility/
Core provides flow cytometry instrumentation and analysis. Instruments include Fortessa, FacsAria and Image Stream.
Proper citation: Arkansas University College of Medicine Flow Cytometry Core Facility (RRID:SCR_017741) Copy
https://www.usd.edu/medicine/basic-biomedical-sciences/proteomics-core
Core provides proteomics services to researchers from South Dakota and the surrounding region to rapidly analyze and identify protein expression patterns in their experimental systems.Develops experimental design, protocols, data analysis and interpretation.Provides consulting and advice in grant proposal, as well as data preparation to be submitted to proteomics journal according to requirements.Offers training in use of common equipment such as scanner, spot cutter, imaging software, technique and protocol issues, and sample preparation.
Proper citation: South Dakota University SD BRIN Proteomics Core Facility (RRID:SCR_017743) Copy
Core offers high throughput screening of large chemical libraries of compounds to identify novel chemical entities that target biological system of interest.Provides target identification and validation, assay development, high throughput screening, hit confirmation, data mining and medicinal chemistry to facilitate hit to lead development.
Proper citation: Kansas University at Lawrence High Throughput Screening Laboratory Core Facility (RRID:SCR_017752) Copy
https://www.brown.edu/research/facilities/transgenic-and-gene-targeting/home
MTGTF is to support the investigators in using genetically modified mouse models in Brown University, affiliated hospitals and academic institutions in Rhode Island and other states. Provides services of molecular design and generation of transgenic and knock-out mouse models as well as general advice on use and management of such models. Conventional ES cell gene-targeting system is employed to serve as alternative or to fill the limitations of CRISPR/Cas9 system. Routine services include genotype analysis, sperm or embryo cryopreservation and storage, rederivation, in vitro fertilization (IVF). Other services, such as mouse vasectomy, embryo transfer, colony scale-up, intracytoplasmic sperm injection (ICSI) are also available. New services requiring MTGTF resources can be created through request.
Proper citation: Brown University Transgenic and Gene Targeting Core Facility (RRID:SCR_017690) Copy
https://www.une.edu/research/center-pain-research/behavior-core
Core provides technical expertise, training, instrumentation and related services for assessing behavior in animals to help to gain insight into function of nervous system and mechanisms of acute and chronic pain. Services include Behavioral Testing; General Behavioral Phenotyping: Observational Screens, Motor Function; Pain/Sensory Testing: Thermal, Mechanical, Chemical; Additional Neurobehavioral Tests: Psychiatric, Addiction, Learning and Memory;Miscellaneous Systems: GI Transit, Cardiovascular and Respiration. Other Services: Assistance choosing behavioral test and statistical tests for assessing results; Training in surgical techniques for small animal surgeries; Staff expertise includes surgical methods for producing pain models; dosing of drugs/anesthetics including central, systemic and localized administration; and tissue extractions.
Proper citation: University of New England In Vivo Behavior Core Facility (RRID:SCR_017883) Copy
https://my.ilabsolutions.com/service_center/show_external/4003
Core specializes in cell, protein, and small molecules analysis as well as cell culture techniques. Services include:2-D gel electrophoresis, 2-D DIGE, LC-MS/MS, HPLC, flow cytometry, fluorescence-activated cell sorting (FACS), cell and tissue culture, and immortalization of cell lines. Our staff works closely with investigators to help design, perform, and analyze experiments.Offers training and assistance in flow cytometry, tissue culture, and operation many of our walk-up instruments.Instruments:Cell Sorter: FACS Aria III, BD Biosciences;Flow Cytometers, analyzers:C6, Accuri/BD Biosciences;Novocyte 3000, ACEA Biosciences;software for analysis: FSC Express, DeNovo software;LC-MS/MS: 6460 Triple Quadrupole, Agilent;Typhoon Trio Scanner, GE Lifesciences;Blood Analyzer: Hemavet 950, Drew Scientific.Plate Readers:;Victor Nivo 5F, Perkin Elmer;Luminometer: Centro XS, Berthold.Services:Cell Sorting (FACS);2-D gel electrophoresis/2D-DIGE;LC-MS/MS analysis of compounds; Cell immortilization.
Proper citation: Nemours/A.I.duPont Hospital for Children Cell Science Core Facility (RRID:SCR_017854) Copy
https://crispresso.pinellolab.partners.org/submission
Software suite of tools to qualitatively and quantitatively evaluate outcomes of genome editing experiments in which target loci are subject to deep sequencing and provides integrated, user friendly interface. Used for analysis of CRISPR-Cas9 genome editing outcomes from sequencing data. CRISPResso2 provides accurate and rapid genome editing sequence analysis.Used for analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.
Proper citation: CRISPResso (RRID:SCR_021538) Copy
https://github.com/nskvir/RepEnrich
Software tool to profile enrichment of next generation sequencing reads at transposable elements. Method to estimate repetitive element enrichment using high throughput sequencing data. Used to study genome wide transcriptional regulation of repetitive elements.RepEnrich2 is updated method to estimate repetitive element enrichment using high-throughput sequencing data.
Proper citation: RepEnrich (RRID:SCR_021733) Copy
https://vanvalen.github.io/about/
Software for segmenting individual cells in microscopy images using deep learning. Cell segmentation software.
Proper citation: DeepCell (RRID:SCR_022197) Copy
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