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http://intramural.nimh.nih.gov/sscc/index.html

Scientific and Statistical Computing Core of the NIMH Intramural Research Program supporting functional neuroimaging research at the NIH. This includes development of new data analysis techniques, their implementation in the AFNI software, advising researchers on the analysis methods, and instructing them in the use of software tools. Support methods: A. Provision of software for analysis for FMRI data (AFNI package: http://afni.nimh.nih.gov) * AFNI has been developed for the last 10 years by Dr Cox, et al. (6 years in Milwaukee, 4 years at NIMH) * Formal and informal instruction in the use of AFNI, including outlines of the statistical methods used in the programs * Installation of AFNI on NIH computers (Mac OS X, Unix, Linux) approximately 120 NIH systems have used AFNI in the last month (80 NIMH, 20 NINDS, 20 other) * Realtime monitoring of FMRI data at scanners * Continuing development of new modules for AFNI to meet needs of NIH researchers B. Consulting with NIH researchers about FMRI data analysis issues, concerns, and methods

Proper citation: NIMH DIRP Scientific and Statistical Computing Core (RRID:SCR_006958) Copy   

•   Source: SciCrunch Registry

http://mga.bionet.nsc.ru/soft/maia-1.0/

Software package of programs for complex segregation analysis in animal pedigrees.

Proper citation: MAIA (RRID:SCR_007153) Copy   

•   Source: SciCrunch Registry

http://www.biomanta.org/

This project encompasses development of novel biological network analysis methods and infrastructure for querying biological data in a semantically-enabled format, and aims to create a semantic interactome model. Research within the BioMANTA project will focus on computational modelling and analysis, primarily using Semantic Web technologies and Machine Learning methods, of large-scale protein-protein interaction and compound activity networks across a wide variety of species. A range of information such as kinetic activity, tissue expression, and subcellular localization and disease state attributes will be included in the resulting data model. Protein interactions are a fundamental component of biological processes. Many proteins are functional only in multimeric complexes, or require interaction partners to achieve their correct localisation or function. For this reason, the study of protein-protein interaction (PPI) networks has become an area of growing interest in computational biology. Through the use of Semantic Web technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL), interaction data is modelled to create a knowledge representation in which meaning is vested in the ontology rather than instances of data. Stochastic and computational intelligence methods are applied to this data to infer high coverage networks. Semantic inferencing is used to infer previously unknown and meaningful pathways. Major project components: - The BioMANTA Ontology:- An OWL DL ontology incorporating the PSI-MI Ontology, the NCBI Taxonomy, and elements of BioPax ontology and Gene Ontology (describing subcellular localisation). This allows us to re-use existing ontologies, thereby reducing overheads associated with knowledge acquisition in the ontology development process. We are able to integrate existing public data that contain annotation in these formats. - Data conversion & semantic protein integration:- A set of software components that convert protein-protein databases (DIP, MPact, IntAct, etc.) from PSI-MI XML to RDF compliant with the BioMANTA ontology. These software allow us to make these protein-protein interaction datasets (and more generally, any PSI-MI XML data) semantically available for querying and inference within BioMANTA. - A RDF triple store based on RDF Molecules and the MapReduce architecture:- A proof-of-concept RDF triple store using RDF molecules and Hadoop scale-out architectures. Regular RDF graphs are deconstructed into RDF molecules, which are distributed over distributed compute nodes in the MapReduce architecture, and are subsequently combined to form equivalent RDF graphs. Such an approach makes the distributed SPARQL querying and reasoning on RDF triple stores possible. - A quantitative framework to integrate networks extracted from independent data sources (gene expression, subcellular localization, and ortholog mapping):- The model is multi-layer, with a first layer based on Decision Trees where each Decision tree is built on each dataset independently. The tree nodes are cut using Shannon''s entropy (mutual information); the decision of these independent trees is integrated using logistic regression, and the parameters are optimised using maximum likelihood. Sponsors: This resource is supported by the Pfizer Global Research and Development, the Institute for Molecular Bioscience (IMB), and the University of Queensland, Australia.

Proper citation: BioMANTA (RRID:SCR_007177) Copy   

•   Source: SciCrunch Registry

http://www.ccp4.ac.uk/

Portal for Macromolecular X-Ray Crystallography to produce and support an integrated suite of programs that allows researchers to determine macromolecular structures by X-ray crystallography, and other biophysical techniques. Used in the education and training of scientists in experimental structural biology for determination and analysis of protein structure.

Proper citation: CCP4 (RRID:SCR_007255) Copy   

•   Source: SciCrunch Registry

http://www.mbio.ncsu.edu/BioEdit/bioedit.html

Software tool as biological sequence alignment editor written for Windows 95/98/NT/2000/XP/7 and sequence analysis program. Provides sequence manipulation and analysis options and links to external analysis programs to view and manipulate sequences with simple point and click operations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BioEdit (RRID:SCR_007361) Copy   

•   Source: SciCrunch Registry

http://www.github.com/kmuench/16p_resource

Software tool as a code to support figure generation for the manuscript by Roth, Muench et al. Used to perform analysis.

Proper citation: 16p_resource Code (RRID:SCR_016845) Copy   

•   Source: SciCrunch Registry

http://digestivediseasescenters.org/content/ddrc-emory-university-overview

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th, 2023. Core facility for the Emory Epithelial Pathobiology Research Development Center.

Proper citation: Emory Epithelial Pathobiology Research Development Center Image Analysis Core (RRID:SCR_015917) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dgac/home/

Core facility that offers library preparation and sequencing services on a variety of platforms - Illumina HiSeq 4000, MiSeq, HiSeq 2500 and PacBio Sequel - as well as bioinformatics analysis. It can sequence a variety of commercial sample preparation kits as well as custom workflows. DGAC provides access to high throughput sequencing and analysis to researchers at the Stanford Diabetes Research Center.

Proper citation: Stanford Diabetes Research Center Diabetes Genomics Analysis Core (RRID:SCR_016213) Copy   

•   Source: SciCrunch Registry

http://rrc.uic.edu/cores/scientific-imaging-nanotechnology/electron-microscopy-service-ems/

Core provides electron microscopy imaging and analytical characterization, surface analysis by XPS or Raman, access to instrumentation, training, and service for using scanning (SEM), transmission (TEM) and scanning transmission (STEM) electron microscopy, surface analysis and vibrational spectroscopy, specimen preparation.

Proper citation: University of Illinois at Chicago Electron Microscopy Core Facility (RRID:SCR_017763) Copy   

•   Source: SciCrunch Registry

http://www.feinberg.northwestern.edu/research/cores/units/clin-pharm.html

Core provides quantitative mass spectrometry based support for in vitro studies and both preclinical and clinical studies of variety of small molecules, including cancer chemotherapeutic agents, analgesics, and antidepressants. Expertise includes optimizing design, conduct, analysis, interpretation, and reportage of pharmacokinetic studies. Helps with biological sample preparation, quantitative mass spectrometric drug concentration measurement, and drug concentration versus time data modeling. Small molecule concentrations in plasma and other body fluids are measured using Sciex 6500 QTrap with UPLC and nano LC or an Agilent HPLC system linked to Applied Biosystems API 3000 triple quadrupole mass spectrometer after sample preparation by, for example, solid-phase extraction. Drug concentration versus time relationships are fitted to various compartmental pharmacokinetic models using commercially available and specialized software.

Proper citation: Northwestern University Mary Beth Donnelley Clinical Pharmacology Core Facility (RRID:SCR_017768) Copy   

•   Source: SciCrunch Registry

https://www.bif.northwestern.edu/

Shared use and training facility. Servies include Confocal Laser Scanning Microscopy, DIC (Differential Interference Contrast Microscopy), FCS (Fluorescence Correlation Spectroscopy), FLIP (Fluorescence-Loss-In-Photobleaching), FRAP (Fluorescence Recovery After Photobleaching),FRET (Fluorescence/ Forster Resonance Energy Transfer),Live-cell Imaging,Phase Contrast Microscopy,Widefield Fluorescence Microscopy,Image Processing and Analysis. Services include poster printing, and specimen preparation. Provides training for most instruments. Instruments include Leica DM6B Fluorescent Microscope (Hogan 5-112), Leica TCS SP8 Confocal Microscope (Hogan 5-128),Leica SP5 II Confocal Microscope (Hogan 5-114),Leica Spinning Disk Confocal Microscope (Hogan 5-113),DeltaVision Deconvolution Microscope (Hogan 5-111),Olympus IX83 Inverted Fluorescent Microscope (Silverman Hall 1-567),Olympus IX53 Inverted Color Microscope (Silverman Hall 1-567), LionHeart Automated Microscope BioTeck (Hogan 5-110).

Proper citation: Northwestern University Biological Imaging Core Facility (RRID:SCR_017767) Copy   

•   Source: SciCrunch Registry

http://rhlccflow.facilities.northwestern.edu

Provides 6 cell sorters and 5 benchtop analyzers. Helps investigators to define their projects in the early stages of development to make optimal and efficient use of flow cytometry. Educates ALL users (faculty and staff) in the science and technology of flow cytometry.

Proper citation: Northwestern University Cancer Center Flow Cytometry Core Facility (RRID:SCR_017766) Copy   

•   Source: SciCrunch Registry

https://nationalmaglab.org/user-facilities/icr

Facility provides service operations for sample analysis that requires ultrahigh resolution and high mass accuracy of Fourier Transform Ion Cyclotron Resonance. Used for research in biomolecular analysis, hydrogen-deuterium exchange and environmental and petrochemical analysis. Four FT-ICR mass spectrometers feature high magnetic fields including the world-record 21 tesla and are compatible with multiple ionization and fragmentation techniques.

Proper citation: National High Magnetic Field Laboratory Ion Cyclotron Resonance Core Facility (RRID:SCR_017361) Copy   

•   Source: SciCrunch Registry

http://cancer.northwestern.edu/research/shared-resources/pathology-core-facility.html

Centralized, comprehensive, core laboratory providing histology, immunohistochemistry, molecular analysis and extraction and microscopic evaluation services for human tissue-based studies. Serves integral marker studies that require biomarker-based treatment arm assignment. Performs procurement of fresh biospecimens for clinical trials and biobanking.

Proper citation: Northwestern University School of Medicine Lurie Cancer Center Pathology Core Facility (RRID:SCR_017769) Copy   

•   Source: SciCrunch Registry

http://biology.hunter.cuny.edu/index.php?option=com_content&view=article&id=44&Itemid=62

Core provides access to instruments, ranging from simple white light wide field microscopes to fluorescent multidimensional super resolution and confocal imaging systems. Provides expertise in areas of microscopy including laser scanning confocal microscopy, super resolution microscopy, two photon microscopy. Helps with image analysis software packages, including, Imaris, Volocity, Autoquant, MetaMorph, and NIS-Elements.

Proper citation: Hunter College Digital Bio-Imaging Core Facility (RRID:SCR_017774) Copy   

•   Source: SciCrunch Registry

http://qbic.facilities.northwestern.edu/

Provides imaging and quantification instrumentation for analyzing metal quotas at scales ranging from subcellular level to entire ecosystems shaping global biogeochemical cycles. Instruments are capable of quantitatively imaging biologically essential elements in individual cells. Used for research in co-evolution of microbial and eukaryotic life within broad range of challenging chemical environments. Services including instrument training, sample preparation and analysis, experiment design, and grant proposal assistance.

Proper citation: Northwestern University Quantitative Bulk-Elemental Information Core Facility (RRID:SCR_017773) Copy   

•   Source: SciCrunch Registry

https://flowcore.hsc.wvu.edu/

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   

•   Source: SciCrunch Registry

https://www.unmc.edu/vcr/cores/vcr-cores/flow-cytometry/index.html

Provides central location for flow cytometry instrumentation and education. Services include Flow Cytometry,Cell sorting, data analysis, training. Software packages to analyze data include ModFit LT, BD FACSDiva v6, Cell Quest Pro, and FlowJo vX, from facility workstations.

Proper citation: Nebraska University Medical Center Flow Cytometry Research Core Facility (RRID:SCR_017736) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry