NATIONAL CANCER INSTITUTE - CANCER.GOV

Search Results for: quantification

Total Results Found: 12

Total Results Found: 12

CCR Genomics Core
Bethesda, MD

Core Facility

The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...

CCR Spatial Imaging Technology Resource (SpITR)
Bethesda, MD

Core Facility

Collaborative

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...

CCR Genomics Technology Laboratory (GTL)
Frederick, MD

Core Facility

The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...

CCR Sequencing Facility
Frederick, MD

Core Facility

The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...

CCR Protein Characterization Laboratory (PCL)
Frederick, MD

Core Facility

Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...

Antibody Characterization Laboratory (ACL)
Frederick, MD

Collaborative

The Antibody Characterization Laboratory (ACL) is the laboratory responsible for the development of well-characterized monoclonal antibody reagents. The NCI’s Office of Cancer Clinical Proteomics Research funds ACL as a resource to the entire cancer Read More...

CCR Single Cell Analysis Facility (SCAF)
Bethesda, MD

Core Facility

The rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor heterogeneity.  Realizing the great potential Read More...

NCI Center for Advanced Preclinical Research (CAPR)
Frederick, MD

Collaborative

The Center for Advanced Preclinical Research (CAPR) specializes in evaluating the efficacy of preclinical compounds, existing drugs, or biologics (therapeutics) in genetically engineered mouse (GEM) models, GEM-derived allograft (GDA) models, or patient-derived mouse xenografts (PDX). Read More...

Protein Characterization Laboratory

Web Page

Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...

Sequencing Facility

Web Page

[tabby title="Overview"] CCR Sequencing Facility Mission: The mission of the Center for Cancer Research Sequencing Facility (CCR-SF) is to utilize high-throughput sequencing technologies to enrich cancer research and ensure that the NCI community can Read More...

Single Cell Analysis

Web Page

Single Cell Analysis Facility (SCAF) The rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor Read More...

Artificial Intelligence Resource (AIR)

Web Page

[tabby title="Home"] About AIR A CCR Initiative for Researchers Artificial Intelligence Resource (AIR) is a collaborative research group focusing on developing translational computer vision-based AI models for cancer research in the CCR. Mission: The Read More...