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http://www.pathology.med.ohio-state.edu/HTRN/apc/default.asp
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. The Adenoma Polyp Tissue Bank (APTB) receives whole blood from patients enrolled in the Prevention of Sporadic Colorectal Adenomas with Celecoxib clinical trial. We have reached our accrual on blood submissions, so we will no longer be receiving blood specimens The objectives of this trial are as follows: A. To determine the efficacy and safety of celecoxib versus placebo in preventing the occurrence of newly detected colorectal adenomas in subjects at increased risk for colorectal carcinoma. In addition to incidence, other established risk factors will be evaluated for their association with occurrence of new colorectal adenomas, including cancer family history and adenoma size, histopathologic grade, multiplicity and location. Primary assessment of treatment efficacy will be the reduction in the number of subjects with adenomas at colonoscopy after Year 1 and Year 3 of study drug use. Secondary assessments of treatment efficacy will be 1) the number of adenomas 2) the histopathologic grade of adenomas and 3) the size of adenomas, also measured after one year and three years of study drug use. These factors will be incorporated into a risk model for predicting adenoma occurrence and response to celecoxib. B. To determine the efficacy of celecoxib versus placebo in modulating one or more of a panel of biomarkers for colorectal cancer at the cellular and molecular level sampled in a subset of subjects at selective sites at baseline and after Year 1 and Year 3 of study drug use. These biomarkers will include measurements of aberrant crypt foci (ACF), proliferation (index and crypt distribution), apoptosis (index and crypt distribution), COX expression and activity. If modulation of one or more mucosal biomarkers occur, we will explore whether it correlates with the development of incident colorectal neoplasia (adenomas/carcinomas), thereby attempting to validate the surrogacy of that biomarker. C. To develop a specimen bank. Serum and white blood cells are isolated from whole blood and adenoma tissue blocks and slides are banked. Banked specimens will become available for use in correlative science studies at a later point. This project began in 1999 and will be extended through 2006. The lead principal investigator is Monica M. Bertagnolli, MD, Brigham and Women''s Hospital, Boston, MA, and the APTB Director is Scott Jewell, Ph.D., Department of Pathology, The Ohio State University. The APTB is supported by the NIH, NCI Division of Cancer Prevention, in connection with the Strang Cancer Prevention Center, Cornell University, New York., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Adenoma Polyp Tissue Bank (RRID:SCR_005366) Copy
https://github.com/broadinstitute/ichorCNA
Software tool that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. Used to simultaneously segment genome, predict large scale copy number alterations, and estimate tumor fraction of ultra low pass whole genome sequencing sample.
Proper citation: ichorCNA (RRID:SCR_024768) Copy
Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.
Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy
https://github.com/PhysiCell-Tools/PhysiCell-Studio
Software graphical tool to allow easy editing of (XML) model, create initial positions of cells, run simulation, and visualize results. To contribute, fork and make PRs to the development branch. Used to create, execute, and visualize multicellular model using PhysiCell.
Proper citation: PhysiCell Studio (RRID:SCR_025311) Copy
https://pvactools.readthedocs.io/en/latest/
Software toolkit to identify and visualize cancer neoantigens. Cancer immunotherapy tools suite consisting of following tools: pVACseq as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from VCF file; pVACbind as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from FASTA file; pVACfuse as tool for detecting neoantigens resulting from gene fusions; pVACvector as tool designed to aid specifically in construction of DNA-based cancer vaccines; pVACview as application based on R Shiny that assists users in reviewing, exploring and prioritizing neoantigens from results of pVACtools processes for personalized cancer vaccine design.
Proper citation: pVACtools (RRID:SCR_025435) Copy
http://www.bios.unc.edu/research/genomic_software/Matrix_eQTL/
Software tool for ultra fast eQTL analysis via large matrix operations.
Proper citation: MatrixEQTL (RRID:SCR_025513) Copy
https://github.com/qianli10000/mtradeR
Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually.
Proper citation: mtradeR (RRID:SCR_022977) Copy
https://github.com/plaisier-lab/sygnal
Software pipeline to integrate correlative, causal and mechanistic inference approaches into unified framework that systematically infers causal flow of information from mutations to TFs and miRNAs to perturbed gene expression patterns across patients. Used to decipher transcriptional regulatory networks from multi-omic and clinical patient data. Applicable for integrating genomic and transcriptomic measurements from human cohorts.
Proper citation: SYGNAL (RRID:SCR_023080) Copy
https://github.com/Shenhav-and-Korem-labs/SCRuB
Software R package to help researchers address common issue of contamination in microbial studies. Well aware MiSeq decontamination program.
Proper citation: SCRuB (RRID:SCR_023518) Copy
https://github.com/genome/bam-readcount
Software tool that runs on BAM or CRAM file and generates low level information about sequencing data at specific nucleotide positions. Its outputs include observed bases, readcounts, summarized mapping and base qualities, strandedness information, mismatch counts, and position within the reads.
Proper citation: bam readcount (RRID:SCR_023653) Copy
https://github.com/phillipnicol/scGBM
Software application for model-based dimensionality reduction of scRNA-seq data. Quantifies uncertainty in each cell's latent position and leverages these uncertainties to assess confidence associated with given cell clustering. On real and simulated single-cell data produces low-dimensional embeddings that better capture relevant biological information while removing unwanted variation. Used for model-based dimensionality reduction for single-cell RNA-seq with generalized bilinear models.
Proper citation: scGBM (RRID:SCR_025518) Copy
Software quality assurance and checking tool for quantitative assessment of magnetic resonance imaging and computed tomography data. Used for quality control of MR imaging data.
Proper citation: MRQy (RRID:SCR_025779) Copy
https://spatialge.moffitt.org/
Web application, a user friendly, point-and-click implementation of spatialGE R package. Contains collection of methods for visualization and spatial statistics analysis of tissue microenvironment and heterogeneity using spatial transcriptomics experiments. Used for user-friendly analysis of spatial transcriptomics data.
Proper citation: Moffitt spatialGE (RRID:SCR_025980) Copy
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
https://github.com/STAR-Fusion/STAR-Fusion
Software tool to leverage chimeric and discordant read alignments identified by STAR aligner to predict fusions. Component of Trinity Cancer Transcriptome Analysis Toolkit. Used to identify candidate fusion transcripts supported by Illumina reads. Maps junction reads and spanning reads to reference annotation set.
Proper citation: STAR-Fusion (RRID:SCR_025853) Copy
https://www.bioconductor.org/packages/release/bioc/html/methylSig.html
Software R package as whole genome DNA methylation analysis pipeline. Used for testing differentially methylated cytosines or regions in whole-genome bisulfite sequencing or reduced representation bisulfite sequencing experiments. Several options exist for either site-specific or sliding window tests, and variance estimation.
Proper citation: MethylSig (RRID:SCR_025849) Copy
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
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
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
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
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