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https://fgf.uchicago.edu/

Facility offers Next-Gen Illumina and Pacific Biosciences Sequencing and Library prep services, Micro-array Illumina genotyping and EPIC arrays services, Sanger DNA Sequencing, and Bioanalyzer/Fragment analyzer sample QC services. For Single Cell sequencing project Facility operates DROP-SEQ and 10X Genomics instrument., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: University of Chicago Functional Genomics Core Facility (RRID:SCR_019196) Copy   

•   Source: SciCrunch Registry

https://med.nyu.edu/research/scientific-cores-shared-resources/applied-bioinformatics-laboratories

Core provides computational analysis for high throughput genomic data, including but not limited to, next generation sequencing data. Our mission is to accelerate scientific discoveries by guiding experimental design, performing robust data quality assessment, and carrying out comprehensive computational analyses. Registration to iLab required.

Proper citation: New York University Grossman School of Medicine Applied Bioinformatics Laboratories Facility (RRID:SCR_019178) Copy   

•   Source: SciCrunch Registry

https://medschool.cuanschutz.edu/colorado-cancer-center/research/shared-resources/biostatistics-and-bioinformatics/biostatistics

Biostatistics provides quantitative support for planning, design, analysis, and presentation of basic science, clinical, and epidemiological investigations. We are dedicated to delivering high quality, methodically developed results to improve patient outcomes and clinical care.

Proper citation: University of Colorado Anschutz Medical Campus Cancer Center Biostatistics Core Facility (RRID:SCR_021981) Copy   

•   Source: SciCrunch Registry

https://www.cshl.edu/research/cancer/flow-cytometry/

Resource provides equipment, training, and operating assistance for cell sorting and analysis. Facility staff oversees equipment maintenance, trains new users, and assists with assay development and operation of equipment.

Proper citation: Cold Spring Harbor Laboratory Flow Cytometry Shared Resource Core Facility (RRID:SCR_022164) Copy   

•   Source: SciCrunch Registry

https://pathbio.med.upenn.edu/pbr/portal/flowcyto/

Flow cytometry shared resource laboratory at the University of Pennsylvania. Facility has instruments, which include analyzers, cell sorters, small particle detectors, dual fluorescence cell counter/viability instrument, tissue dissociator for cell preparation. Provides on-site and off-site support to instrument users, including analyzer and cell sorter training. Core's Research and Development team collaborates/consults with principal investigators in developing high-dimensional panels, as well as staining, acquisition, and analysis.

Proper citation: University of Pennsylvania Perelman School of Medicine Cytomics and Cell Sorting Resource Laboratory Core Facility (RRID:SCR_022376) Copy   

•   Source: SciCrunch Registry

http://www.sylvester.org/OGSR

Provides access to technologies and services for study of genomics and epigenomics of cancer, in addition to providing technical expertise for project design, trouble shooting and pre and post award support. Services include next generation sequencing, single cell genomics, spatial genomics, gene expression assays and molecular quantitation, services for sample extraction and QC.

Proper citation: University of Miami Sylvester Onco Genomics Shared Resource Core Facility (RRID:SCR_022502) Copy   

•   Source: SciCrunch Registry

https://github.com/rbundschuh/CLEAR

Software workflow that identifies reliably quantifiable transcripts in limiting-cell RNA-seq (lcRNA-seq) data for differentially expressed genes (DEG) analysis. Coverage-based Limiting-cell Experiment Analysis for RNA-seq.

Proper citation: CLEAR (RRID:SCR_027171) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/RAIDS/

Software R package to enable genetic ancestry inference from various cancer sequence sources (RNA, Exome, and Whole-Genome sequences). This package also implements simulation algorithm that generates synthetic cancer-derived data. Used for accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms

Proper citation: RAIDS (Robust Ancestry Inference using Data Synthesis) (RRID:SCR_027265) Copy   

•   Source: SciCrunch Registry

https://seahorse.networkmedicine.org

Web-based database and search tool for exploratory data analysis in which we have pre-computed statistical associations between available data elements. Large-scale, open-access data sets such as the Genotype Tissue Expression Project (GTEx) and The Cancer Genome Atlas (TCGA) include multi-omic data on large numbers of samples along with extensive clinical and phenotypic information. Allows users to explore significant associations using tabulated summary statistics, data visualizations, and functional enrichment analyses (using RNA-seq data) for identified sets of genes.

Proper citation: SEAHORSE (RRID:SCR_027399) Copy   

•   Source: SciCrunch Registry

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

Software R package for visualizing genomics data. Provides a user-friendly, flexible and comprehensive suite of tools for visualizing complex genomic data in three categories (small variants, copy number alterations and data quality) for multiple species of interest.

Proper citation: GenVisR (RRID:SCR_027559) Copy   

•   Source: SciCrunch Registry

https://github.com/Danko-Lab/BayesPrism

Software R package for fully Bayesian inference of tumor microenvironment composition and gene expression deconvolution. Used to analyze bulk RNA-seq data and estimate cell type-specific expression profiles.

Proper citation: BayesPrism (RRID:SCR_027499) Copy   

•   Source: SciCrunch Registry

https://cytospace.stanford.edu/

Software tool for assigning single cells from scRNA-seq to spatial transcriptomics coordinates via optimization framework. Supports high-resolution cell/spot alignment, capacity-constrained/domain-aware placement, and outputs per-cell/per-spot assignments and probabilities for downstream visualization and analysis. Used for optimal mapping of scRNA-seq data to spatial transcriptomics data.

Proper citation: CytoSPACE (RRID:SCR_027634) Copy   

•   Source: SciCrunch Registry

https://github.com/KChen-lab/METAFlux?tab=readme-ov-file

Software tool that predicts cancer metabolic fluxes from bulk RNA-seq and scRNA-seq data to address these analytic gaps. Used for characterizing metabolic circuits and output non-degenerative fluxes using cancer gene expression data.

Proper citation: METAFlux (RRID:SCR_028022) Copy   

•   Source: SciCrunch Registry

https://github.com/huishenlab/biscuit

Software application for simultaneous genetic and epigenetic inference in bulk and single-cell studies. Used to perform alignment, DNA methylation and mutation calling, and allele specific methylation from bisulfite sequencing data. Analyzing sodium bisulfite conversion-based DNA methylation/modification data.

Proper citation: BISCUIT (RRID:SCR_028006) Copy   

•   Source: SciCrunch Registry

https://CivicDb.org

Open-access, community-driven knowledgebase designed to crowdsource and curate evidence on the clinical significance of cancer-related genomic variants. It helps researchers and clinicians interpret tumor DNA mutations to guide precision medicine.

Proper citation: CivicDb (RRID:SCR_028055) Copy   

•   Source: SciCrunch Registry

https://github.com/zfyuan/EpiProfile2.0_Family

Software tool for processing Epi-Proteomics mass spectrometry data. Discriminates isobaric histone peptides using distinguishing fragment ions in their tandem mass spectra and extracts the chromatographic area under the curve using previous knowledge about peptide retention time. Nanoflow liquid chromatography coupled with high resolution tandem mass spectrometry-based quantification tool for histone peptides, which can also be adapted to analyze nonhistone protein samples. EpiProfile 2.0 is extended version of v1.0 for enhanced quantification of histone peptides based on LC-MS/MS analysis.

Proper citation: EpiProfile (RRID:SCR_028224) Copy   

•   Source: SciCrunch Registry

https://hitaic.herokuapp.com/

Web-based application to trace tumor tissue of origin in primary and metastasized cancers.

Proper citation: HiTAIC (RRID:SCR_028181) Copy   

•   Source: SciCrunch Registry

https://umiamihealth.org/sylvester-comprehensive-cancer-center/research/research-resources/shared-resources/cancer-proteomics-shared-resource

Core provides advanced mass spectrometry-based proteomics to support basic, translational, and clinical cancer research. Delivers high quality, quantitative proteomic data using instrumentation, including Thermo Scientific Astral Zoom and Ascend Tribrid orbitrap mass spectrometers. Services include gel band protein identification, immunoprecipitation and pulldown proteomics, cleavable cross-linking mass spectrometry, and global quantitative proteomics and post‑translational modification analysis using tandem mass tag‑based multiplexing or label‑free data-independent acquisition and data-dependent acquisition approaches. The CPSR supports end-to-end proteomics pipelines—from whole cells and primary tumor organoids through quantitative analysis and data visualization—providing comprehensive “soup to nuts” analytical capability.

Proper citation: University of Miami Sylvester Cancer Proteomics Shared Resource Core Facility (RRID:SCR_028491) Copy   

•   Source: SciCrunch Registry

https://micr.med.wayne.edu/

Core provides advanced instrumentation, consultation, and support for flow cytometry, light and electron microscopy, and small-animal imaging. Services include confocal microscopy, multi-plex whole slide imaging, conventional, widefield epifluorescence microscopy, Electron Microscopy, in vivo small animal PET, SPECT, CT, X-Ray, white light, fluorescence, and bioluminescence imaging, in vitro and in vivo X-Ray irradiation, multi-parameter flow cytometry, including conventional and spectral technologies, cell sorting, imaging cytometry, and advanced data analysis support.

Proper citation: Wayne State University Microscopy Imaging and Cytometry Resources MICR Core Facility (RRID:SCR_028700) Copy   

•   Source: SciCrunch Registry

http://hlathena.tools/

Web tool and predictive model used by researchers to identify which small protein fragments (peptides) will be presented by human leukocyte antigen (HLA) proteins on the surface of cells. It is heavily used in the development of cancer immunotherapies and personalized

Proper citation: HLAthena (RRID:SCR_028691) Copy   

•   Source: SciCrunch Registry