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https://github.com/kbolton-lab/ArCH

Software somatic variant calling pipeline designed to detect low variant allele fraction clonal hematopoiesjsonsis variants.

Proper citation: ArCH (RRID:SCR_025975) Copy   

•   Source: SciCrunch Registry

https://github.com/dpeerlab/Palantir/

Algorithm to align cells along differentiation trajectories. Models trajectories of differentiating cells by treating cell fate as probabilistic process and leverages entropy to measure cell plasticity along the trajectory. Generates high-resolution pseudo-time ordering of cells and, for each cell state, assigns probability of differentiating into each terminal state.

Proper citation: Palantir (RRID:SCR_027194) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages/release/bioc/html/sesame.html

Software R package for reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions.

Proper citation: SeSAMe (RRID:SCR_027388) Copy   

•   Source: SciCrunch Registry

https://weghornlab.org/software.html

Software tool which derives gene-specific probabilistic estimates of the strength of negative and positive selection in cancer.

Proper citation: CBaSE (RRID:SCR_027765) Copy   

•   Source: SciCrunch Registry

https://github.com/McGranahanLab/TcellExTRECT

Software R package to calculate T cell fractions from WES data from hg19 or hg38 aligned genomes.

Proper citation: T Cell ExTRECT (RRID:SCR_027742) Copy   

•   Source: SciCrunch Registry

https://github.com/vanallenlab/comut

Software Python library for creating comutation plots to visualize genomic and phenotypic information. Used for visualizing genomic and phenotypic information via comutation plots.

Proper citation: CoMUT (RRID:SCR_027745) Copy   

•   Source: SciCrunch Registry

https://github.com/liulab-dfci/TRUST4

Software tool to analyze TCR and BCR sequences using unselected RNA sequencing data, profiled from fluid and solid tissues, including tumors. Performs de novo assembly on V, J, C genes including the hypervariable complementarity-determining region 3 and reports consensus contigs of BCR/TCR sequences. TRUST4 then realigns the contigs to IMGT reference gene sequences to identify the corresponding gene and CDR3 details. TRUST4 supports both single-end and paired-end bulk or single-cell sequencing data with any read length.

Proper citation: TRUST4 (RRID:SCR_026162) Copy   

•   Source: SciCrunch Registry

https://cbc.app.vumc.org/tnbc/

Website for predicting the subtype of triple negative breast cancer sample based on its gene expression profile.

Proper citation: TNBCtype (RRID:SCR_026238) Copy   

•   Source: SciCrunch Registry

https://github.com/j-rub/scVital

Software tool to embed scRNA-seq data into species-agnostic latent space to overcome batch effect and identify cell states shared between species. Deep learning algorithm for cross-species integration of scRNA-seq data.

Proper citation: scVital (RRID:SCR_026215) Copy   

•   Source: SciCrunch Registry

https://dsigdb.tanlab.org/DSigDBv1.0/

Online database provides collection of gene sets based on quantitative inhibition and/or drug-induced gene expression changes data of drugs and compounds. Allows users to search, view and download drugs/compounds and gene sets.

Proper citation: DSigDB (RRID:SCR_026202) Copy   

•   Source: SciCrunch Registry

https://github.com/mskcc/facets

Software tool for estimating genome copy numbers from high throughput DNA sequencing data. Allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing. Used to implement Fraction and Copy number Estimate from Tumor/normal Sequencing.

Proper citation: FACETS (RRID:SCR_026264) Copy   

•   Source: SciCrunch Registry

https://ecog-acrin.org/resources/ecog-performance-status/

ECOG Performance Scale describes patient’s level of functioning in terms of their ability to care for themself, daily activity, and physical ability (walking, working, etc.). Standard criteria for measuring how the disease impacts patient’s daily living abilities. Used to assess the functional status of patient.

Proper citation: Eastern Cooperative Oncology Group Performance Status Scale (RRID:SCR_026432) Copy   

•   Source: SciCrunch Registry

https://github.com/KarchinLab/mhcnuggets

Software tool that predicts how protein pieces bind to Major Histocompatibility Complex (MHC) molecules. It uses deep learning to process peptide sequences, handle variable lengths, and evaluate both common and rare alleles. Used to predicts peptide-MHC binding. Can predict binding for common or rare alleles of MHC class I or II with a single neural network architecture.

Proper citation: MHCnuggets (RRID:SCR_028674) Copy   

•   Source: SciCrunch Registry

http://www.pathwaycommons.org/

Data management software that runs the Pathway Commons web service. It makes it easy to aggregate custom pathway data sets available in standard exchange formats from multiple databases, present pathway data to biologists via a customizable web interface, and export pathway data via a web service to third-party software, such as Cytoscape, for visualization and analysis. cPath is software only, and does not include new pathway information. Main features: * Import pipeline capable of aggregating pathway and interaction data sets from multiple sources, including: MINT, IntAct, HPRD, DIP, BioCyc, KEGG, PUMA2 and Reactome. * Import/Export support for the Proteomics Standards Initiative Molecular Interaction (PSI-MI) and the Biological Pathways Exchange (BioPAX) XML formats. * Data visualization and analysis via Cytoscape. * Simple HTTP URL based XML web service. * Complete software is freely available for local install. Easy to install and administer. * Partly funded by the U.S. National Cancer Institute, via the Cancer Biomedical Informatics Grid (caBIG) and aims to meet silver-level requirements for software interoperability and data exchange.

Proper citation: cPath (RRID:SCR_001749) Copy   

•   Source: SciCrunch Registry

http://www.phosphosite.org

A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published.

Proper citation: PhosphoSitePlus: Protein Modification Site (RRID:SCR_001837) Copy   

•   Source: SciCrunch Registry

https://david.ncifcrf.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.

Proper citation: DAVID (RRID:SCR_001881) Copy   

•   Source: SciCrunch Registry

http://www.dukecancerinstitute.org/

One of 40 centers in the country designated by the National Cancer Institute (NCI) as a comprehensive cancer center, it combines cutting-edge research with compassionate care. Its vision is to accelerate research advances related to cancer and improve Duke''s ability to translate these discoveries into the most advanced cancer care to patients by uniting hundreds of cancer physicians, researchers, educators, and staff across the medical center, medical school, and health system under a shared administrative structure.

Proper citation: Duke Cancer Institute (RRID:SCR_004338) Copy   

•   Source: SciCrunch Registry

http://discovery.hsci.harvard.edu/

An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket.

Proper citation: Stem Cell Discovery Engine (RRID:SCR_004453) Copy   

•   Source: SciCrunch Registry

http://cancer.case.edu/

Core is a partnership organization supporting all cancer-related research efforts at CWRU, University Hospitals Case Medical Center, and the Cleveland Clinic. The Case CCC is organized into 9 interdisciplinary scientific programs plus one program initiative. Research programs of the Case CCC are extending into CWRU affiliated hospitals including MetroHealth Medical Center (the region's county hospital), Louis Stokes Veterans Affairs Hospital, and 13 community medical centers operated by University Hospitals and Cleveland Clinic. The Center operates an NCI-supported Cancer Information Service (CIS) serving the northern half of Ohio as part of the Midwest consortium and has an active outreach program for clinical practice-based prevention and screening initiatives, educational programs, minority recruitment, and facilitation of patient referrals. Case CCC is a member of NCI's CaBIG initiative and is actively pursuing electronic databases for clinical trials, tissue repositories, and related bioinformatics.

Proper citation: Case Western Reserve University Case Comprehensive Cancer Center (RRID:SCR_004387) Copy   

•   Source: SciCrunch Registry

http://caintegrator-info.nci.nih.gov/rembrandt

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Repository of molecular brain neoplasia data (RRID:SCR_004704) Copy   

•   Source: SciCrunch Registry