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https://maria.stanford.edu/index.php

Web multimodal recurrent neural network tool designed to predict HLA-II (Human Leukocyte Antigen class II) peptide ligand presentation. It uses cell HLA alleles, peptide sequences, and source genes to evaluate antigen presentation. Used for predicting the likelihood of antigen presentation from a gene of interest in the context of specific HLA class II alleles.

Proper citation: MARIA (RRID:SCR_028673) Copy   

•   Source: SciCrunch Registry

https://ibeximagingcommunity.github.io/ibex_imaging_knowledge_base/

Open, global repository as central resource for reagents, protocols, panels, publications, software, and datasets. In addition to IBEX, we support standard, single cycle multiplexed imaging (Multiplexed 2D imaging), volume imaging of cleared tissues with clearing enhanced 3D (Ce3D), highly multiplexed 3D imaging (Ce3D-IBEX), and extension of the IBEX dye inactivation protocol to the Leica Cell DIVE (Cell DIVE-IBEX). Committed to sharing knowledge related to multiplexed imaging. Antibody validation community knowledgebase.

Proper citation: IBEX Knowledge Base (RRID:SCR_025296) Copy   

•   Source: SciCrunch Registry

https://github.com/GregorySchwartz/too-many-cells

Software suite of tools, algorithms, and visualizations focusing on relationships between cell clades. This includes new ways of clustering, plotting, choosing differential expression comparisons. Identifies and visualizes relationships of single-cell clades.

Proper citation: TooManyCells (RRID:SCR_025328) Copy   

•   Source: SciCrunch Registry

https://github.com/willtownes/glmpca

Software R package for dimension reduction of non-normally distributed data. Generalized PCA for non-normally distributed data.

Proper citation: glmpca (RRID:SCR_025517) Copy   

•   Source: SciCrunch Registry

https://discover.nci.nih.gov/rsconnect/cellminercdb/

Web application integrating cancer cell line pharmacogenomics. Enables exploration and analysis of cancer cell line pharmacogenomic data across different sources. Focuses on cancer patient-derived human cell line molecular and pharmacological data. CellMinerCDB (v1.2) includes several improvements.

Proper citation: CellMinerCDB (RRID:SCR_025649) Copy   

•   Source: SciCrunch Registry

https://www.borch.dev/uploads/screpertoire/

Software R toolkit for analyzing single-cell immune repertoire profiling. Used for single-cell immune receptor analysis.

Proper citation: scRepertoire (RRID:SCR_025691) 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://bioconductor.org/packages/release/bioc/html/signifinder.html

Software R package designed to streamline collection and use of cancer transcriptional signatures across bulk, single-cell, and spatial transcriptomics data. Used for collection and implementation of public transcriptional cancer signatures.

Proper citation: signifinder (RRID:SCR_027141) 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://www.mskcc.org/research/ski/core-facilities/monoclonal-antibody-core-facility

ABCF can provide MAbs from established hybridomas for RESEARCH PURPOSES ONLY, can assist in generating MAbs, offers a weekly mycoplasmal contamination screening service for tissue culture samples, distributes cell lines developed at Memorial Sloan Kettering Cancer Center and Rockefeller University.

Proper citation: Memorial Sloan Kettering Cancer Center Antibody and Bioresource Core Facility (RRID:SCR_017691) Copy   

•   Source: SciCrunch Registry

http://mass-spec.stanford.edu

Core mass spec and proteomic services include open access lab for trained users with GC/MS, LC/MS, high resolution LC/MS, and MALDI-TOF instruments, help with intact protein analysis, targeted quantitation, drug discovery support, pathway analysis, protein interactions, FFPE tissue analysis, both labeled and label-free proteomics, and more. Please contact SUMS to discuss these and other custom projects including new application development.

Proper citation: Stanford University Vincent Coates Foundation Mass Spectrometry Laboratory Core Facility (RRID:SCR_017801) 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

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://www.med.unc.edu/csb/sbi

Core provides consultations and collaborations on research studies requiring computational structural biology methods. Analyses available are to study of static structures, molecular dynamics studies for analyzing contribution of dynamic and collective motions to macromolecular functionality. Trains researchers in computational structural biology techniques, or works in collaborative manner with researchers.Provides access to software tools for protein and DNA sequence analysis, protein fold determination, homology modeling, active site identification, and analysis of effects of various mutations on structure and function of protein, along with additional computational analyses.

Proper citation: North Carolina University at Chapel Hill R.L. Juliano Structural Bioinformatics Core Facility (RRID:SCR_017836) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/csb/nmr/

Core to support academic and industrial users. Spectrometer time is available to trained users for an hourly fee. Lab manager trains new users, consults to determine whether NMR will be useful in their research, and helps design experimental plan to obtain information they need. Manager also operates spectrometer for users whose experiments do not justify time and expense of individual training.

Proper citation: North Carolina University at Chapel Hill School of Medicine Biomolecular NMR Laboratory Core Facility (RRID:SCR_017841) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/csb/pep

Core specializes in production of pure, functional proteins for structural, biophysical, and biochemical studies. Facility offers three categories of service:Protein Expression,Protein Purification,Scientific Consultation, Mentoring, and Training; Offers Isotope labeled proteins for NMR;High production scales for immunizations, drug discovery, structural biology;Endotoxin-free protein production;Stable cell line generation;Expert baculovirus expression;Custom packages to efficiently suit your needs.

Proper citation: North Carolina University at Chapel Hill School of Medicine Protein Expression and Purification Core Facility (RRID:SCR_017843) Copy   

•   Source: SciCrunch Registry

http://www.ucdmc.ucdavis.edu/cancer/research/sharedresources/flowcytometry.html

Core provides access to expertise and instrumentation for analytical flow cytometry, cell sorting and laser scanning cytometry.Cell sorting and analytical cytometers are located at three sites in Davis and Sacramento for research use on recharge basis. Provides cell sorters for assisted sorting on appointment basis and provides training to investigators in acquiring data on analytic cytometers.Can advise on experiment design for flow cytometry, provides training to enable independent use of analytical cytometers, and familiarize investigators with popular data analysis software tools such as BD Diva and CellQuest, FlowJo, ModFit and iBrowser.

Proper citation: University of California Davis Flow Cytometry Shared Resource Laboratory Core Facility (RRID:SCR_017826) Copy   

•   Source: SciCrunch Registry