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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Core provides technology for functional proteomics studies and centralized, standardized and quality controlled services locally and globally.
Proper citation: RPPA Core Facility (RRID:SCR_016649) Copy
https://www.mdanderson.org/research/research-resources/core-facilities/proteomics-facility.html
Facility provides mass spectrometry analysis of proteins. Provides access to mass spectrometry based proteomics technologies and services including Protein Identification, Molecular Weight Determination, Quantitative Protein Analysis, Post-translational Modification Analysis, LC or LC-MS Analysis, Equipment Usage, Additional Data Analysis:Bioinformatics, statistics, pathway analysis and Assistance preparing materials for manuscripts or grants.Consultations for custom assays for other MS Services are also available.
Proper citation: University of Texas MD Anderson Cancer Center Proteomics Core Facility (RRID:SCR_017731) Copy
https://voices.uchicago.edu/ucflow/
Core offers services in cytometry and antibody technology, helps to design projects, data acquisition, analysis and/or interpretation beyond routine practices,critical drafting and/or revision of manuscript for intellectual content purposes.
Proper citation: Chicago University Cytometry and Antibody Technology Core Facility (RRID:SCR_017760) Copy
http://www.med.unc.edu/csb/unc-peptides
Core offers services for: High quality synthetic peptides, stable isotope labeled peptides, peptides with PTM and fluorescent and affinity tags, synthesis of peptide libraries. Analysis of synthetic peptides. Purification, lyophilization and aliquoting of synthetic peptides.
Proper citation: North Carolina University at Chapel Hill School of Medicine High Throughput Peptide Synthesis and Array Core Facility (RRID:SCR_017837) Copy
https://www.med.unc.edu/csb/mx/
Core provides support and infrastructure necessary to initiate and successfully complete structural biology or structural chemistry project. Offers services in Crystallization,X-Ray DiffractionData Collection,Structure Determination and Refinement.
Proper citation: North Carolina University at Chapel Hill School of Medicine Macromolecular X-Ray Crystallography Core Facility (RRID:SCR_017839) Copy
https://www.med.unc.edu/microscopy/
Core provides training, assistance and services in light microscopy, electron microscopy and image analysis. UNC core facility that is part of Department of Pathology and Laboratory Medicine, and are light microscopy core for Lineberger Comprehensive Cancer Center.
Proper citation: University of North Carolina at Chapel Hill Microscopy Services Laboratory Core Facility (RRID:SCR_017913) Copy
https://cytotrace.stanford.edu/
Software tool that predicts differentiation state of cells from single cell RNA sequencing data. Used for predicting differentiation states from scRNA-seq data.
Proper citation: CytoTRACE (RRID:SCR_022828) Copy
https://github.com/walaj/svaba
Software tool for detecting structural variants in sequencing data using genome wide local assembly. Genome wide detection of structural variants and indels by local assembly. Used for detecting SVs from short read sequencing data using genome wide local assembly with low memory and computing requirements.
Proper citation: SvABA (RRID:SCR_022998) Copy
Web application that helps design, evaluate and clone guide sequences for the CRISPR/Cas9 system. This sgRNA design tool assists with guide selection in a variety of genomes and pre-calculated results for all human coding exons as a UCSC Genome Browser track.
Proper citation: CRISPOR (RRID:SCR_015935) Copy
https://github.com/hetio/hetmatpy
Software Python package for matrix storage and operations on hetnets. Enables identifying relevant network connections between set of query nodes.
Proper citation: HetMatPy (RRID:SCR_023409) Copy
Web service to predict involvement of upstream cell signaling pathways, given signature of differentially expressed genes. Used to linking expression signatures to upstream cell signaling networks.
Proper citation: X2K Web (RRID:SCR_023624) Copy
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
http://cbbiweb.uthscsa.edu/KMethylomes/
Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers.
Proper citation: Cancer Methylome System (RRID:SCR_012013) Copy
A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis.
Proper citation: CRAVAT (RRID:SCR_012776) Copy
https://www.gem-beta.org/Public/Home.aspx
Database that contains behavioral and social science measures organized by theoretical constructs. GEM is designed to enable researchers to use common measures with the goal of exchanging harmonized data.
Proper citation: Grid-Enabled Measures Database (RRID:SCR_016043) Copy
https://rtips.cancer.gov/rtips/index.do
Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials.
Proper citation: Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) Copy
https://www.clinicalgenome.org
Genomics knowledgebase for clinical relevance of genes and variants for use in research. ClinGen's primary function is to store and share information for the benefit of the scientific community. Laboratory scientists, clinicians, and patients can share and access data.
Proper citation: ClinGen (RRID:SCR_014968) Copy
Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.
Proper citation: Pancreatlas (RRID:SCR_018567) Copy
https://www.robotreviewer.net/
Software tool as machine learning system that automatically assesses bias in clinical trials. From PDF formatted trial report determines risks of bias for domains defined by Cochrane Risk of Bias (RoB) tool, and extracts supporting text for these judgments.
Proper citation: Robot Reviewer (RRID:SCR_018961) Copy
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
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