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...
Frederick, MD
Core Facility
The Optical Microscopy Analysis Core (OMAC), formerly known as the Optical Microscopy Analysis Lab (OMAL), focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and Read More...
Bethesda, MD
Trans NIH Facility
The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus Read More...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
Frederick, MD
Collaborative
The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation. The BDP was established in 1993. We Read More...
Bethesda, MD
Trans NIH Facility
The Center of Cellular Engineering (CCE) is a comprehensive facility that develops and manufactures a wide range of cell and gene therapies for early phase clinical trials. The CCE is currently manufacturing chimeric antigen receptor ( Read More...
Bethesda, MD
Core Facility
The CPP is directly responsible for the pharmacokinetic (PK) analysis of numerous Phase I and II clinical trials conducted within the NCI. In addition, the CPP provides direct PK support for many studies performed elsewhere Read More...
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[embed]https://youtu.be/pfZp5Vgsbw0[/embed] Menarini Silicon Biosystems has combined the ability to manipulate individual cells using DEP technology with high-quality image-based cell selection to create the DEPArray™ System. This Read More...
Bethesda, MD
Core Facility
The Blood Processing Core monitors viral load in patients with HIV and performs sequential studies using samples obtained from patients with cancer, AIDS, chronic granulomatous disease, or other diseases associated with immunologic dysfunction. The core Read More...
Web Page
The Staff Scientists/Clinicians (SSSC) Technical Enrichment Program (STEP) was established to provide SSSC’s an opportunity to compete for funding to gain comprehensive training in state-of-the-art techniques available through CCR Cores and Facilities. The Read More...
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Back Services: This instrument is not user accessible. We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor Read More...
Web Page
Home About the Biophysics Core Biophysics Core Services [tabby title="Instrumentation"] NHLBI Biophysics Core The Biophysics Core Facility: Overview Core Facilities provide scientific resources, cutting-edge technologies and novel approaches to support DIR scientists. Availability of Read More...
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Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
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Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
Bethesda, MD
Core Facility
The Flow Cytometry Core (LGI) offers established technologies to support studies using flow cytometry and cell sorting. Established Technologies Applications that run on FACS Caliburs include: Immunophenotyping (up to 4-color), Intracellular markers, including cytokines and Read More...
Rockville, MD
Core Facility
The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and Read More...
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Back Services: Biophysics Facility offers DLS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes DLS analysis of small- and large-molecular size Read More...
Frederick, MD
Core Facility
Protein and Metabolite Characterization Core (PMCC), formerly known as the Protein Characterization Lab (PCL), offers various technologies to CCR investigators to characterize proteins and metabolites. The core develops and applies state-of-the-art analytical technologies, primarily mass Read More...
Web Page
Bioinformatics
06/16/2025 - In 2017, Dr. Rol joined the World Health Organization' International Agency for Re earch on Cancer (IARC-WHO), motivated to improve equal acce to high-quality healthcare for everyone. Currently, he lead an IARC team dedicated to Read More...
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Confocal
2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...
Web Page
Bioinformatics
Your job may be in a waiting phase ("Pending" or "PD") depending on available resources. You can specify a particular node partition using --partition . Use freen to see what's available. Read More...
Web Page
Confocal
2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...
Web Page
Bioinformatics
The first step in creating this plot was initializing the ggplot object using the function ggplot(). Remember, we can look further for help using ?ggplot(). The function ggplot() takes data, mapping, and further arguments. However, Read More...
Web Page
Bioinformatics
Your job may be in a waiting phase ("Pending" or "PD") depending on available resources. You can specify a particular node partition using --partition. Use freen to see what's available. Read More...
Web Page
Confocal
ZEISS Elyra 7 with Lattice SIM² Type: Wide-field structured illumination microscope Capabilities: Super resolution 2D and 3D imaging of live or fixed cells Apotome SIM: 170 nm lateral, 450 nm axial Apotome SIM2: 140 nm lateral, 300 nm axial Lattice Read More...
Web Page
Bioinformatics
09/13/2024 - Reverse-phase protein arrays (RPPAs) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and develop novel cancer therapies. To facilitate community-based investigation of the large-scale protein expression data generated by Read More...
Web Page
Bioinformatics
05/09/2023 - T he C ancer P roteome A tlas (TCPA) : a major bioinformatics resource for cancer proteomics data using reverse-phase protein arrays (RPPAs) In contrast to the recent exploration of next-generation sequencing at both DNA Read More...
Web Page
Bioinformatics
05/02/2023 - T he C ancer P roteome A tlas (TCPA) : a major bioinformatics resource for cancer proteomics data using reverse-phase protein arrays (RPPAs) In contrast to the recent exploration of next-generation sequencing at both DNA Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template. ggplot(data = ) + (mapping = aes()) The main components include the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol following the ggplot() function. This Read More...
Web Page
Bioinformatics
06/14/2022 - In partnership with NCI’s Cancer Moonshot SM Initiative, the Society for Immunotherapy of Cancer (SITC) and the Big Data and Data Sharing Committee are hosting the fourth of nine webinars that make up Read More...
Web Page
Bioinformatics
11/05/2020 - Register Presenter: Dr. Han Liang Reverse-phase protein arrays (RPPAs) offer a powerful functional proteomic approach to evaluate biomarkers and mechanisms underlying sensitivity and resistance to cancer therapy. The MD Anderson Cancer Center platform currently Read More...
Web Page
Bioinformatics
06/16/2020 - The capability to unambiguously and comprehensively identify thousands of metabolites and other chemicals in clinical samples, including the microbiome, will revolutionize the search for environmental, dietary, and metabolic determinants of health and disease. By Read More...
Web Page
Bioinformatics
What is the relationship between total transcript sums per sample and the number of recovered transcripts per sample? ::: {.cell output-location='slide'} #let's plot our data ggplot(data=exdata) + geom_point(aes(x=Number.of. Read More...
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Bioinformatics
05/16/2025 - This one-day in-person NIH AI Symposium will bring together researchers from a broad range of disciplines to share their AI-related research, with the goal of disseminating the newest AI research, providing an opportunity to Read More...
Web Page
Bioinformatics
Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template: ggplot(data = ) + (mapping = aes()) We need three basic components to create a plot: the data we want to plot , geom function(s) , and mapping aesthetics . Notice the + symbol Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template. ggplot(data = ) + (mapping = aes()) The only required components to begin plotting are the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol following Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment when working on Biostar class material. conda activate bioinfo Let's start by creating a directory Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Learn * What are sequence adapters? * Do we need to trim them before alignment? * How can I trim with a new adapter sequence? Be Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Learn * What are sequence adapters? * Do we need to trim them before alignment? * How can I trim with a new adapter sequence? Be Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template ggplot(data = ) + (mapping = aes()) We need three basic components to create a plot: the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol Read More...
Web Page
Bioinformatics
10/05/2022 - For our next CDSL webinar we will have presentations by two CDSL fellows: Ekaterina Kazantseva and Sanna Madan. Ekaterina is a master’s student in Dr. Mikhail Kolmogorov's group and the title of Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template. ggplot(data = <DATA>) + <GEOM_FUNCTION>(mapping = aes(<MAPPINGS>)) We need three basic components to create a Read More...
Web Page
Bioinformatics
The following represents the basic ggplot2 template. ggplot(data = <DATA>) + <GEOM_FUNCTION>(mapping = aes(<MAPPINGS>)) We need three basic components to create a Read More...
Web Page
Confocal
2024 Senatorov IS, Bowman J, Jansson KJ, Alilin AN, Capaldo BJ, Lake R, Riba M, Abbey YC, Mcknight C, Zhang X, Raj S, Beshiri ML, Shinn P, Ngyuyen H, Thomas CJ, Corey E, Kelly K. Castrate Read More...
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Confocal
Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...
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Confocal
WIDE-FIELD MICROSCOPY Nikon Ti 2000 wide-field microscope Capabilities: This microscope is suited for live cell imaging (4D) and fixed cells (3D) imaging. This microscope produces high quality wide-field images that may be improved by Read More...
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Confocal
2024 L. Balagopalan, T. Moreno, H. Qin, B. C. Angeles, T. Kondo, J. Yi, K. M. McIntire, N. Alvinez, S. Pallikkuth, M. E. Lee, H. Yamane, A. D. Tran, P. Youkharibache, R. E. Cachau, N. Taylor, Read More...
Web Page
Confocal
Zeiss LSM 880 NLO Laser Scanning Microscope Laser scanning microscope: 355nm UV laser 405nm, 594nm, 561nm and 633nm diode lasers Argon laser (458nm, 488nm and 514nm lines) Coherent Chameleon Vision II tunable (680nm – 1080nm) IR multiphoton Read More...
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Confocal
2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...
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Confocal
A typical HTI screening project at HiTIF can be subdivided in 5 phases: Pre-Development The investigator contacts the Facility Head to inquire about the current availability of instrumentation time and manpower for the project to be Read More...
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Confocal
Stephen Lockett, Ph.D. Director, OMAC locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 OMAC Read More...
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Confocal
Confocal Microscope Image of Fixed Mouse Embryonic Fibroblast (MEF) Cells Actin proteins (stained red) and Tubulin proteins (stained green) are involved in a number of cellular process such as cell motility, cell division and maintenance Read More...
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Confocal
2024 Mizunuma M, Redon CE, Saha LK, Tran AD, Dhall A, Sebastian R, Taniyama D, Kruhlak MJ, Reinhold WC, Takebe N, Pommier Y. Acetalax (Oxyphenisatin Acetate, NSC 59687) and Bisacodyl Cause Oncosis in Triple-Negative Breast Read More...
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Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective figures. Data Visualization in the tidyverse Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinfo environment. conda activate bioinfo Then create a new directory for files we will be working with today in Read More...
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Bioinformatics
Lesson 5: Working on Biowulf Lesson 4 Review Flags and command options Wildcards ( * ) Tab complete Accessing user history with the "up" and "down" arrows cat , head , and tail Working with file content (input, Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn how to import spreadsheet data. Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective Read More...
Web Page
Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...