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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.
https://dna-analysis.yale.edu/
Core supports DNA Sequencing of PCR, Plasmid, BAC and Fosmid templates, Fragment Analysis of Microsatellites, AFLP, t-RFLP, SHAPE Experiments and Human Cell Line Authentication.
Proper citation: Yale University DNA Analysis on Science Hill Core Facility (RRID:SCR_017689) Copy
Provides flow cytometry instrumentation and expertise. Provides operator assisted analyzer and sorter use, as well as training and support for user instrument operation.
Proper citation: Stanford University Shared FACS Core Facility (RRID:SCR_017788) Copy
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.brown.edu/research/facilities/proteomics/
Core provides instrumentation and proteomics expertise to Brown University and Rhode Island-EPSCoR scientific communities and training in emerging proteomic techniques. Mass Spectrometry proteomics resources and services are provided by COBRE Center for Cancer Research Development (CCRD) at Rhode Island Hospital: Proteomics Core.
Proper citation: Brown University Division of Biology and Medicine Proteomics Shared Resource Core Facility (RRID:SCR_017910) Copy
https://med.nyu.edu/research/scientific-cores-shared-resources/microscopy-laboratory
Core offers comprehensive light and electron microscopy technologies. Our scientists use light microscopes and electron microscopes at resolutions ranging from centimeters to angstroms, providing clear and detailed images.We assist at every stage of your experiment, offering research-design consultation and instrument training, as well as guidance in study execution, analysis, and presentation for publication.
Proper citation: New York University School of Medicine Langone Health Microscopy Laboratory Core Facility (RRID:SCR_017934) Copy
https://maria.stanford.edu/index.php
Web multimodal recurrent neural network tool designed to predict HLA-II (Human Leukocyte Antigen class II) peptide ligand presentation. It uses cell HLA alleles, peptide sequences, and source genes to evaluate antigen presentation. Used for predicting the likelihood of antigen presentation from a gene of interest in the context of specific HLA class II alleles.
Proper citation: MARIA (RRID:SCR_028673) Copy
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