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http://www.uwyo.edu/microscopy/

Core to assist researchers and students in their imaging needs of fluorescence and electron microscopy and to increase use of microscopes in science education. Consultation, training or touring facility is also available by appointment.

Proper citation: Wyoming University Jenkins Microscopy Core Facility (RRID:SCR_017758) Copy   

•   Source: SciCrunch Registry

https://www.unr.edu/proteomics

Core offers mass spectral proteomic analysis. Assists with qualitative and quantitative characterization of proteins in biological matrices such as plasma/serum, tissue, cell lines and other biological material to gain understanding of physiological pathways, molecular interactions and regulatory signaling.

Proper citation: University of Nevada at Reno Nevada Proteomics Center Core Facility (RRID:SCR_017761) Copy   

•   Source: SciCrunch Registry

http://psf.cobre.ku.edu/cores/ppg/about

Core focuses on cloning, expression and purification of prokaryotic and eukaryotic proteins for COBRE and other investigators in Kansas and region. Laboratory maintains equipment to support production of properly folded proteins in quantities suitable for structural studies (X-ray and NMR), functional studies (catalytic or biological), label-free binding studies (SPR) and/or high throughput (HTP) screening studies.

Proper citation: Kansas University at Lawrence Protein Production Group Core Facility (RRID:SCR_017749) Copy   

•   Source: SciCrunch Registry

http://bioimaging.dbi.udel.edu

Microscopy facility that houses equipment including confocal microscopes: LSM780 confocal microscope (Located at CBBI),LSM880 confocal microscope (Located at DBI 117),electron microscopes and their accessory instrumentation:Thermo Scientific Apreo VS SEM microscope,Hitachi S-4700, Leica EM ACE600 and Tousimis Autosamdri-815B,CX7 high content analysis system. Our staff has technical expertise across different microscopy platforms and methodologies.

Proper citation: University of Delaware BioImaging Center Core Facility (RRID:SCR_017814) Copy   

•   Source: SciCrunch Registry

https://www.une.edu/research/cobre/histology

Core provides access to expertise, training and specialized instrumentation related to tissue processing, sectioning, staining, immunohistochemistry and microscopy. Offers services and training related to image analysis and image analysis software to guide investigators in choosing best methods for presenting their data.Services include Trimming of wet tissues,Tissue processing into paraffin, OCT and paraffin embedding, Sectioning of paraffin-embedded/frozen tissues, Routine and special histochemical staining, Immunohistochemistry/Immunofluorescence, Antibody optimization, Brightfield/ widefield/ confocal microscopy, Image capture and image analysis.Core has cryostats, microtomes and microscopes available for reservation.

Proper citation: University of New England COBRE Histology and Imaging Core Facility (RRID:SCR_017885) 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://jcesom.marshall.edu/research/office-of-research-and-graduate-education/core-facilities/genomics/

Core provides services including high throughput next generation sequencing (NGS) to support whole genome, whole exome, RNA-Seq, single cell RNA-Seq, microbiome and global chromatin and methylation studies, biostatistical and bioinformatic support for NGS projects, access to DNA/RNA sequence analysis software, automated Sanger DNA sequencing, genotyping and RNA/DNA quality assessment, access to shared instrumentation such as plate readers, real time thermal cyclers, Agilent Bioanalyzers, fluorimeters, and spectrophotometers.

Proper citation: Marshall University School of Medicine Genomics Core Facility (RRID:SCR_018885) Copy   

•   Source: SciCrunch Registry

https://cancer.dartmouth.edu/scientists-researchers/molecular-biology-resource

Genomics Section provides services and instrumentation that enable DNA/RNA extraction and quality control, next-generation Illumina and Nanopore sequencing, epigenetic profiling, and microarray analysis on a whole-genome scale, from the level organisms to single cells. Molecular Biology Section provides DNA fragment analysis qPCR, Sanger sequencing and NanoString Technology.

Proper citation: Dartmouth Genomics and Molecular Biology Shared Resource (GMBSR) (RRID:SCR_021293) Copy   

•   Source: SciCrunch Registry

https://lmf.mdibl.org/

Core provides professional scientific expertise in light microscopy. Offers access to hardware and software as well as expert guidance at any step of imaging project, from experimental design to image analysis.Comprises eight microscope systems including two laser scanning confocal microscopes including one Olympus inverted confocal microscope system (FV1000) and one Zeiss inverted confocal microscope system (LSM-980) equipped with Airy scan 2 for super resolution and 2-photon technology for in-vivo deep imaging with temperature controlled chamber. One spinning disk confocal including Nikon inverted spinning disk microscope system with incubation chamber (Eclipse Ti with Yokogawa disk CSU-W1), two Zeiss widefield microscopes for brightfield and epifluorescence illumination (Zeiss Apotome and Zeiss Colibri), three macroscopes systems to observe large samples or complete model organisms in brightfield and epifluorescence including one Olympus stereomicroscope system (MVX10) and two Zeiss stereomicroscope systems (SteREO Discovery V12), fully automated and one AxioZoom V16 , fully automated with ApoTome attachment.

Proper citation: Mount Desert Island Biological Laboratory Light Microscopy Core Facility (RRID:SCR_019166) Copy   

•   Source: SciCrunch Registry

https://github.com/spreka/biomagdsb

Software tool as parameter-free deep learning framework for nucleus segmentation using image style transfer. Cell segmentation tool.

Proper citation: NucleAIzer (RRID:SCR_026500) Copy   

•   Source: SciCrunch Registry

https://github.com/compgenomics/MeTPeak

Software package for finding the location of m6A sites in MeRIP-seq data.

Proper citation: MeTPeak (RRID:SCR_026533) Copy   

•   Source: SciCrunch Registry

https://github.com/agshumate/Liftoff

Software genome annotation lift-over tool capable of mapping genes between two assemblies of the same or closely related species. Aligns genes from reference genome to target genome and finds the mapping that maximizes sequence identity while preserving the structure of each exon, transcript and gene. Used for accurate mapping of gene annotations.

Proper citation: Liftoff (RRID:SCR_026535) Copy   

•   Source: SciCrunch Registry

https://endomap.hms.harvard.edu/

Structural interactome viewer. Interactive database of endosomal protein-protein interactions identified by cross-linking mass spectrometry and modeled by AlphaFold multimer. Structural protein interactome of human early endosomes.

Proper citation: EndoMap (RRID:SCR_026690) Copy   

•   Source: SciCrunch Registry

https://github.com/DerrickWood/kraken2

Software tool as second version of Kraken taxonomic sequence classification system.

Proper citation: kraken2 (RRID:SCR_026838) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/apeglm.html

Software package provides Bayesian shrinkage estimators for effect sizes for variety of GLM models, using approximation of posterior for individual coefficients.

Proper citation: apeglm (RRID:SCR_026951) Copy   

•   Source: SciCrunch Registry

https://github.com/KrishnaswamyLab/PHATE

Software tool for visualizing high dimensional data using novel conceptual framework for learning and visualizing manifold to preserve both local and global distances.

Proper citation: PHATE (RRID:SCR_027119) Copy   

•   Source: SciCrunch Registry

https://pypi.org/project/SpaGCN/

Software graph convolutional network to integrate gene expression and histology to identify spatial domains and spatially variable genes. SpaGCN integrates information from gene.

Proper citation: SpaGCN (RRID:SCR_025978) Copy   

•   Source: SciCrunch Registry

https://github.com/zhouhj1994/LinDA

Software linear models for differential abundance analysis of microbiome compositional data. Used to tackle compositional effects in differential abundance analysis. It fits linear regression models on centered log2-ratio transformed data, identifies bias term due to transformation and compositional effect, and corrects bias using mode of regression coefficients. It could fit mixed-effect models.

Proper citation: LinDA (RRID:SCR_025966) Copy   

•   Source: SciCrunch Registry

https://github.com/YingMa0107/CARD/

Software R package for spatial transcriptomics. Deconvolution method that combines cell-type-specific expression information from single-cell RNA sequencing (scRNA-seq) with correlation in cell-type composition across tissue locations.

Proper citation: Conditional AutoRegressive Deconvolution (RRID:SCR_026310) Copy   

•   Source: SciCrunch Registry

https://autodocksuite.scripps.edu/adt/

Software graphical user interface to help to set up which bonds will treated as rotatable in the ligand and to analyze dockings. Used for automated docking with selective receptor flexibility. Designed to predict how small molecules, such as substrates or drug candidates, bind to receptor of known 3D structure.

Proper citation: AutoDockTools (RRID:SCR_026401) Copy   

•   Source: SciCrunch Registry