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https://genie.cbioportal.org/

International data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data of cancer patients treated at multiple institutions worldwide.

Proper citation: AACR GENIE cBioPortal (RRID:SCR_026217) Copy   

•   Source: SciCrunch Registry

https://github.com/katerinakazantseva/strainy

Software tool for phasing and assembly of bacterial strains from long-read sequencing data (either Oxford Nanopore or PacBio). Given reference (or collapsed de novo assembly) and set of aligned reads as input, tool produces multi-allelic phasing, individual strain haplotypes and strain-specific variant calls. Used for phasing and assembly of strain haplotypes from long-read metagenome sequencing.

Proper citation: Strainy (RRID:SCR_026430) Copy   

•   Source: SciCrunch Registry

https://github.com/dviraran/xCell

Software R package for generating cell type scores and R scripts for development of xCell. Web tool that performs cell type enrichment analysis from gene expression data for immune and stroma cell types. Used for Cell types enrichment analysis.

Proper citation: xCell (RRID:SCR_026446) Copy   

•   Source: SciCrunch Registry

https://github.com/QuackenbushLab/NetworkDataCompanion

Software R library of utilities for performing analyses on TCGA and GTEx data using the Network Zoo. Streamlines routine steps in TCGA data processing, including filtering and mapping gene and sample identifiers between modalities and allows modality-specific data transformation, such as normalization and cleaning.

Proper citation: NetworkDataCompanion (RRID:SCR_026532) Copy   

•   Source: SciCrunch Registry

https://github.com/calico/borzoi

Software package to access the Borzoi models, which are convolutional neural networks trained to predict RNA-seq coverage at 32bp resolution given 524kb input sequences.

Proper citation: Borzoi (RRID:SCR_026619) Copy   

•   Source: SciCrunch Registry

https://pathoman.mskcc.org/

Web application to automate germline genomic variant curation from clinical sequencing based on ACMG guidelines. Aggregates multiple tracks of genomic, protein and disease specific information from public sources.

Proper citation: PathoMAN (RRID:SCR_026552) Copy   

•   Source: SciCrunch Registry

https://petab.readthedocs.io/en/latest/

Repository contains PEtab specifications and additional documentation. Data format for specifying parameter estimation problems in systems biology. SBML and TSV based data format for parameter estimation problems in systems biology. Human- and computer- readable format for representing parameter estimation problems in systems biology.

Proper citation: PEtab (RRID:SCR_026915) Copy   

•   Source: SciCrunch Registry

https://github.com/AlexandrovLab/SigProfilerAssignment

Software tool for assignment of known mutational signatures to individual samples and individual somatic mutations.

Proper citation: SigProfilerAssignment (RRID:SCR_026899) 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://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://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