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http://ssom.luc.edu/genomics/

Core provides next-generation sequencing capabilities using Illumina MiSeq. Helps with experimental design, quality control analysis, library preparation, and data analysis. MiSeq desktop sequencer allows to access applications such as targeted gene sequencing, metagenomics, small genome sequencing, targeted gene expression, amplicon sequencing, and HLA typing.MiSeq is capable of delivering up to 15 Gb of output with 25 million sequencing reads and 2x300 basepair read lengths.

Proper citation: Loyola University Genomics Core Facility (RRID:SCR_017857) Copy   

•   Source: SciCrunch Registry

http://nic.ucsf.edu/

Core provides light microscopy instrumentation, microscopy training and education and can provide assistance with experiment design, data acquisition, and image analysis. Provides training for users.Services include:Fluorescence imaging (up to 5 colors) Brightfield, phase contrast, and DIC imaging;High speed imaging (over 100 frames per second);Automated imaging, including multiwell plates;Super-resolution imaging (SIM / STORM / PALM);Single molecule imaging;3D confocal imaging;Gigapixel image stitching;Live cell time lapse imaging;Photoactivation and photobleaching;Light sheet imaging of cleared tissues.

Proper citation: University of California at San Francisco, Nikon Imaging Center Core Facility (RRID:SCR_017862) Copy   

•   Source: SciCrunch Registry

http://health.usf.edu/medicine/corefacilities/flowcytometry

Core is equipped with two benchtop analyzers from BD Immunocytometry Systems (3 laser/8 color BD Canto II and 4 laser/17 color BD LSR II). These instruments support large variety of applications, including multicolor cell phenotyping, apoptosis, cell cycle and bead arrays. After orientation and training, equipment is available for use directly by investigators. Alternatively experiments can be run and analyzed by Core Facility staff.For sorting purposes facility is equipped with high speed BD FacsAria IIu sorter (4 laser/11 colors), as well as magnetic sorter (AutoMacs Pro) from Miltenyi Biotech. FacsAria IIu is enclosed in Baker Bioprotect III to support sort of biohazardous agents level 1 and 2.

Proper citation: South Florida University College of Medicine Fred Wright Jr Flow Cytometry Core Facility (RRID:SCR_017901) Copy   

•   Source: SciCrunch Registry

https://www.biotech.iastate.edu/metabolomics/

Core facility that conducts fee for service mass spectrometry-based non-targeted and targeted metabolomic studies. The facility serves and partners with both on- and off-campus clients.

Proper citation: Iowa State University W.M. Keck Metabolomics Research Laboratory Core Facility (RRID:SCR_017911) Copy   

•   Source: SciCrunch Registry

http://mhpl.facilities.northwestern.edu/

Core provides assistance with standard and customized research specific histology services for variety of tissues (i.e., mouse, rat, sheep, pig, zebrafish, etc.) for routine histology, and immunohistochemistry. Provides Pathologist consultation to help develop strategies to elucidate phenotypes and gain mechanistic insight regarding biologic actions of targeted molecule(s) or toxicity of exogenously administered substances.Provides training opportunities for learning histology techniques and phenotyping analysis.Services include Immunohistochemistry (IHC) . Using tyramide signal amplification (TSA) and ABC methods (automated), with DAB chromogenic substrate; Immunofluorescence (IF)- Single and multiple staining;TUNEL assay; Freezing and embedding of tissues for histology;Frozen sections;Paraffin block processing and Paraffin sections;Hematoxylin and Eosin staining of sections;Specialized histochemical staining of sections (e.g. Trichrome, PAS, Luxol fast blue, Cresyl violet, and many other stains);Dissection and tissue collection;Histopathology (slide interpretation);Histopathology toxicity evaluation;Training in necropsy techniques including perfusion of mice and special tissue dissection;Assistance with development of animal pathology protocols.

Proper citation: Northwestern University Mouse Histology and Phenotyping Laboratory Core Facility (RRID:SCR_017870) Copy   

•   Source: SciCrunch Registry

http://crl.berkeley.edu/molecular-imaging-center/

Microscopy core specializing in laser based fluorescence techniques. Offers training and expertise in 20 different microscope systems, including live cell and in vivo imaging, laser scanning (LSM) and spinning disk (SDC) confocal, multi-photon (2p), fluorescent lifetime imaging (FLIM), light-sheet microscopy (SPIM), super resolution (Airyscan), slide scanning and patterned illumination for optogenetic manipulation and readout. Provides offline computer analysis workstations for image processing, visualization and analysis, including GPU workstations. MIC operates in 3 different buildings on campus, with primary locations in Life Sciences Addition (LSA), North-side core in Barker Hall, and small outpost in Li Ka Shing Center for Biomedical and Health Sciences (LKS).Provides equipment in categories:Confocal and multi photon laser scanning microscopes,Spinning disk confocal microscopes,Lightsheet (SPIM) microscopes,Epifluorescence/widefield scopes and Computer workstations.

Proper citation: University of California at Berkeley Cancer Research Laboratory Molecular Imaging Center Core Facility (RRID:SCR_017852) Copy   

•   Source: SciCrunch Registry

http://www.uwhistologyandimaging.org

Core provides servises including:Immunohistochemistry,Image analysis,Quantitative microscopy,Histology,Luminex cell based multiplex assay,Comparative pathology consultation.Offers experience, expertise and instrumentation across all platforms. HIC utilizes automated immunohistochemistry stainers which provide efficiency and consistency as well as standardization of protocols across studies of all sizes.

Proper citation: University of Washington Histology and Imaging Core Facility (RRID:SCR_017855) Copy   

•   Source: SciCrunch Registry

https://www.igb.illinois.edu/corefacilities

Core for biological microscopy and image analysis. Offers high-end equipment,user training,ongoing support, including experiment design and data interpretation,twenty-four hour access Services,3D Printing, Transfer Files, Image Analysis,Histology,Instrument Training.

Proper citation: University of Illinois at Urbana-Champaign Core Facilities at IGB (RRID:SCR_017938) Copy   

•   Source: SciCrunch Registry

https://www.preventivemedicine.northwestern.edu/divisions/biostatistics/

Core where division members engage in statistical methods development and application, research design and statistical computing for health science research. Faculty interests encompass Bayesian methods, bioinformatics, causal inference, computational biology, clinical trials, diagnostic testing, longitudinal modeling, missing data modeling, observational data methods, semi-parametric models, spatial modeling, statistical genetics and survival analysis.

Proper citation: Northwestern University Biostatistics Collaborative Center (RRID:SCR_017943) Copy   

•   Source: SciCrunch Registry

http://proteomics.northwestern.edu/collaborate

Core offers multiple types of experiments from simple protein identification to protein quantitation. Performs traditional bottom-up proteomics, where proteins are digested with enzyme prior to analysis and intact, top-down proteomics analyses. Services include proteins identification after in-gel or in-solution digestion, top-down mass spectrometry to preserve post-translationally modified forms of proteins present in vivo by measuring them intact, IP-MS Pulldown,BioID service to identify target of biotin ligase that has been tagged onto their protein via traditional cloning methods,Untargeted Quantitative Peptide Proteomics,Targeted Quantitative Peptide Proteomics,Epiproteomic Histone Modification Panel A,Epiproteomic Histone Modification Panel B,Untargeted Metabolomics,Phosphoproteomics,PTM Scan,ChIP-MS.

Proper citation: Northwestern University Proteomics Core Facility (RRID:SCR_017945) Copy   

•   Source: SciCrunch Registry

https://education.musc.edu/colleges/medicine/departments/pharmacology/redox-center/cores/bioenergetics-profiling-core

Core provides several technologies that enable researchers to quantify fluxes of these metabolic reactions in cells, tissues, organoids and small animal models such as zebrafish embryos and nematodes.Technologies include high resolution respirometry using XF technology from Seahorse Biosciences/Agilent. Instrumentation utilizes 96-well microplates to provide sufficient sample numbers to provide flux profiles of glycolysis, mitochondrial respiration, fatty acid oxidation, glutamine utilization and other related metabolic processes. Rapid, high-throughput imaging optimized to XF plate architecture provides normalization of cell/tissue numbers, health, and other.Provides training, data analyses support and aid in experimental design.

Proper citation: South Carolina Medical University Bioenergetics Profiling Core Facility (RRID:SCR_017953) Copy   

•   Source: SciCrunch Registry

https://www.charmm.org/charmm/?CFID=66837e22-4ee5-47ba-bcbf-b4b385c2397e&CFTOKEN=0

Software program that simulates molecular interactions. It has features that allow broad application to many-particle systems with a comprehensive set of energy functions, a variety of enhanced sampling methods, and support for multi-scale techniques, and a range of implicit solvent models. It also primarily targets biological systems including peptides, proteins, prosthetic groups, small molecule ligands, nucleic acids, lipids, and carbohydrates, as they occur in solution, crystals, and membrane environments. CHARMM can also be applied to inorganic materials with applications in materials design and has a comprehensive set of analysis and model builiding tools.

Proper citation: CHARMM (RRID:SCR_014892) Copy   

•   Source: SciCrunch Registry

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_StemCells.aspx

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The former functions of this facility are split into two separate operations. The first is the generation and characterization of induced Pluripotent Stem Cells (iPSCs) is now being performed on a collaborative basis for both internal and external investigators with the Snyder lab. The second is a shared laboratory dedicated to the culture and analysis of stem cells that is available to SBP investigators.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Stem Cell Core (RRID:SCR_014856) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/

Repository of open source tools for behavioral neuroscience research. OpenBehavior features hardware (tools, devices, apparatuses), as well as software for data acquisition and analysis and for the investigation of animal behavior and cognition. Dedicated to accelerating research through promotion of collaboration and open source projects.

Proper citation: OpenBehavior (RRID:SCR_015938) Copy   

•   Source: SciCrunch Registry

https://www.flimfit.org/

Software package for quantitative analysis of large Fluorescence Lifetime Imaging Microscopy (FLIM) data, including global analysis. It is able to routinely analyse multi-well plate FLIM datasets on conventional PC workstations in a reasonable time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: FLIMfit (RRID:SCR_016298) Copy   

•   Source: SciCrunch Registry

https://w3.psychology.su.se/sleipner/

Software package as collection of modules implementing methods of analysis that form self-contained and empirically grounded toolbox for handling longitudinal data within person oriented paradigm.

Proper citation: sleipner (RRID:SCR_018143) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=meta

Software general R package providing standard methods for meta analysis.

Proper citation: meta (RRID:SCR_019055) Copy   

•   Source: SciCrunch Registry

https://github.com/sqjin/CellChat

Software R toolkit for inference, visualization and analysis of cell-cell communication from single cell data.Quantitatively infers and analyzes intercellular communication networks from single-cell RNA-sequencing data. Predicts major signaling inputs and outputs for cells and how those cells and signals coordinate for functions using network analysis and pattern recognition approaches. Classifies signaling pathways and delineates conserved and context specific pathways across different datasets.

Proper citation: CellChat (RRID:SCR_021946) Copy   

•   Source: SciCrunch Registry

http://www.gaworkshop.org/

The Genetic Analysis Workshops (GAWs) are a collaborative effort among genetic epidemiologists to evaluate and compare statistical genetic methods. For each GAW, topics are chosen that are relevant to current analytical problems in genetic epidemiology, and sets of real or computer-simulated data are distributed to investigators worldwide. Results of analyses are discussed and compared at meetings held in even-numbered years. The GAWs began in 1982 were initially motivated by the development and publication of several new algorithms for statistical genetic analysis, as well as by reports in the literature in which different investigators, using different methods of analysis, had reached contradictory conclusions. The impetus was initially to determine the numerical accuracy of the algorithms, to examine the robustness of the methodologies to violations of assumptions, and finally, to compare the range of conclusions that could be drawn from a single set of data. The Workshops have evolved to include consideration of problems related to analyses of specific complex traits, but the focus has always been on analytical methods. The Workshops provide an opportunity for participants to interact in addressing methodological issues, to test novel methods on the same well-characterized data sets, to compare results and interpretations, and to discuss current problems in genetic analysis. The Workshop discussions are a forum for investigators who are evolving new methods of analysis as well as for those who wish to gain further experience with existing methods. The success of the Workshops is due at least in part to the focus on specific problems and data sets, the informality of sessions, and the requirement that everyone who attends must have made a contribution. Topics are chosen and a small group of organizers is selected by the GAW Advisory Committee. Data sets are assembled, and six or seven months before each GAW, a memo is sent to individuals on the GAW mailing list announcing the availability of the GAW data. Included with the memo is a short description of the data sets and a form for requesting data. The form contains a statement to be signed by any investigator requesting the data, acknowledging that the data are confidential and agreeing not to use them for any purpose other than the Genetic Analysis Workshop without written permission from the data provider(s). Data are distributed by the ftp or CD-ROM or, most recently, on the web, together with a more complete written description of the data sets. Investigators who wish to participate in GAW submit written contributions approximately 6-8 weeks before the Workshop. The GAW Advisory Committee reviews contributions for relevance to the GAW topics. Contributions are assembled and distributed to all participants approximately two weeks before the Workshop. Participation in the GAWs is limited to investigators who (1) submit results of their analyses for presentation at the Workshop, or (2) are data providers, invited speakers or discussants, or Workshop organizers. GAWs are held just before the meetings of the American Society of Human Genetics or the International Genetic Epidemiology Society, at a meeting site nearby. We choose a location that will encourage interaction among participants and permit an intense period of concentrated work. The proceedings of each GAW are published. Proceedings from GAW16 were published in part by Genetic Epidemiology 33(Suppl 1), S1-S110 (2009) and in part by Biomed Central (BMC Proceedings, Volume 3, Supplement 7, 2009). Sponsors: GAW is funded by the Southwest Foundation for Biomedical Research.

Proper citation: Genetic Analysis Workshop (RRID:SCR_008350) Copy   

•   Source: SciCrunch Registry

http://www.primervfx.com/#welcome

PrimerParadise is an online PCR primer database for genomics studies. The database contains predesigned PCR primers for amplification of exons, genes and SNPs of almost all sequenced genomes. Primers can be used for genome-wide projects (resequencing, mutation analysis, SNP detection etc). The primers for eukaryotic genomes have been tested with e-PCR to make sure that no alternative products will be generated. Also, all eukaryotic primers have been filtered to exclude primers that bind excessively throughout the genome. Genes are amplified as amplicons. Amplicons are defined as only one genes exons containing maximaly 3000 bp long dna segments. If gene is longer than 3000 bp then it is split into the segments at length 3000 bp. So for example gene at length 5000 bp is split into two segment and for both segments there were designed a separate primerpair. If genes exons length is over 3000 bp then it is split into amplicons as well. Every SNP has one primerpair. In addition of considering repetitive sequences and mono-dinucleotide repeats, we avoid designing primers to genome regions which contain other SNPs. -There are two ways to search for primers: you can use features IDs ( for SNP primers Reference ID, for gene/exon primers different IDs (Ensembl gene IDs, HUGO IDs for human genes, LocusLink IDs, RefSeq IDs, MIM IDs, NCBI gene names, SWISSPROT IDs for bacterial genes, VEGA gene IDs for human and mouse, Sanger S.pombe systematic gene names and common gene names, S.cerevisiae GeneBanks Locus, AccNo, GI IDs and common gene names) -you can use genome regions (chromosome coordinates, chromosome bands if exists) -Currently we provide 3 primers collections: proPCR for prokaryotic organisms genes primers -euPCR for eukaryotic organisms genes/exons primers -snpPCR for eukaryotic organisms SNP primers Sponsors: PrimerStudio is funded by the University of Tartu.

Proper citation: PrimerStudio (RRID:SCR_008232) Copy   

•   Source: SciCrunch Registry