Bethesda, MD
Trans NIH Facility
The Clinical Image Processing Service (CIPS) offers timely and accurate advanced image processing of diagnostic radiology images for clinical care, research, and training. CIPS’ functions include clinical services and scientific researches. Established Technologies CIPS can Read More...
Research Training Park, NC
Core Facility
Trans NIH Facility
The NIH Metabolomics Consortium (NIH-MC) is a shared research resource that performs metabolomics analysis (and related small molecule research) for investigators at all Institutes and Centers across the NIH Intramural Research Program. The NIH-MC is Read More...
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Back Services: Biophysics Facility offers MDS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes the KD determination of a standard molecular Read More...
Bethesda, MD
Core Facility
The PPS encompasses all scientific analyses related to pharmacology, once the specimen has been collected and stored. There is a multi-step process to evaluate how the drug is being handled by the body after administration. Read More...
Bethesda, MD
Trans NIH Facility
The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...
Frederick, MD
Core Facility
NCI LASP Animal Research Technology Support (ARTS) provides customized technical support for basic and translational animal-based research to the scientific community. We offer a wide array of services ranging from expert colony management to the 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...
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 Laboratory Animal Sciences Program (LASP) of the Frederick National Laboratory operates a Gnotobiotics Facility (GF) to support research focused on the role of microbiota in cancer inflammation, pathogenesis, and treatment response. The GF can Read More...
Bethesda, MD
Collaborative
The Clinical Flow Cytometry Laboratory provides extensive support for NCI clinical protocols by providing diagnostic testing for leukemia and lymphoma in patients either on NCI clinical protocols or undergoing testing to determine eligibility for NCI Read More...
Bethesda, MD
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...
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Back Services: Biophysics Facility offers ITC calorimeters as open-access instruments. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes performing a test experiment and Read More...
Bethesda, MD
Core Facility
The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...
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Back Services: Biophysics Facility offers MP as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument training calendar. Training includes mass distribution analysis of a Read More...
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CREx News & Updates June 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...
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Back Services: Biophysics Facility offers ZetaView as an open-access instrument. First-time users must complete a short training session before using it for the first time. Training includes instrument calibration and size analysis of a standard Read More...
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Back Services: Biophysics Facility offers MST as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes the KD determination of a Read More...
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Services: Biophysics Facility offers CD as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the difference Read More...
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Back Services: Biophysics Facility offers CD as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the Read More...
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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...
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Bioinformatics
Warning Make sure to stay in the /data/username/pies_2023 folder for this step. Use the command below to start a Jupyter Lab session. Copy and paste either of the http links to a local Read More...
Web Page
Bioinformatics
Use the command below to start a Jupyter Lab session. Copy and paste either of the http links to a local browser to interact with Jupyter (see Figure 5). jupyter lab --ip localhost --port $PORT1 --no-browser Read More...
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Bioinformatics
04/16/2026 - The ability to measure gene expression levels for individual cells (vs. pools of cells) and with spatial resolution is crucial to address many important biological and medical questions, such as the study of stem Read More...
Web Page
Bioinformatics
Reshape iris_long to a wide format. Your new column names will contain names from Measurement.location . Your wide data should look as follows: ## # A tibble: 150 × 6 ## Iris.ID Species Sepal.Length Sepal.Width Petal.Length Read More...
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Bioinformatics
Data reshaping is one aspect of tidying our data. The shape of our data is determined by how values are organized across rows and columns. When reshaping data we are most often wrangling the data Read More...
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Bioinformatics
If you are using a Windows PC, you will need to download and install the PuTTY program. https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html Go to the section "Alternative Binary Files& Read More...
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Bioinformatics
10/16/2012 - Fundamentals of DNA copy number analysis using Nexus Learn the basics of copy number analysis and its application to genomic research. Fundamental concepts such as copy number measurement methods, quality assessment, and different approaches/ Read More...
Web Page
Bioinformatics
Q1. Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Read More...
Web Page
Bioinformatics
The data used in this practice exercise can be found here. Q1. Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make Read More...
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Bioinformatics
Use the command below to start a Jupyter Lab session. jupyter lab --ip localhost --port $PORT1 --no-browser Users will be provided with three URLs (example below) and they can copy and paste either one into 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...
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Bioinformatics
11/04/2024 - This one-hour interactive training will cover how to use the ScHARe cloud and Terra platform focusing on how to utilize over 260 social determinants of health (SDoH) data sets and analytic notebooks containing ready-to-use code. Read More...
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Bioinformatics
Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...
Web Page
Bioinformatics
Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...
Web Page
Bioinformatics
Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Save Read More...
Web Page
Bioinformatics
Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...
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Bioinformatics
02/12/2020 - This two-day instructor-led course gives participants a broad study of networking options on Google Cloud Platform. Through presentations, demonstrations, and hands-on labs, learners explore and deploy GCP networking technologies, such as Google Virtual Private Read More...
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Bioinformatics
Data reshaping is one aspect of tidying our data. The shape of our data is determined by how values are organized across rows and columns. When reshaping data, we are most often wrangling the data Read More...
Web Page
Bioinformatics
Figure 1: After interactive session resources have been allocated, users will see a ssh command that looks like that enclosed in the red rectangle. Open a new terminal (if working on a Mac) or command prompt ( Read More...
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Bioinformatics
Putty is an open source and grpahical based ssh client that is also capable of scp and sftp. It is one of the ways to interface with Biowulf for Windows users. To obtin Putty, goto Read More...
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Bioinformatics
Putty is an open source and grpahical based ssh client that is also capable of scp and sftp. It is one of the ways to interface with Biowulf for Windows users. To obtin Putty, goto Read More...
Web Page
Bioinformatics
Step 1 to starting Jupyter Lab on Biowulf via command is to request an interactive compute session using sinteractive with the following options. The local temporary/scratch storage space and RAM allocation can be modified base 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
Image Analysis Capabilities: Custom Development Software Supported Software Platforms Arivis Vision 4D Arivis is software for image processing, analysis, and display for working with multi-channel 2D, 3D and 4D images of almost unlimited size independent Read More...
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Bioinformatics
For this tutorial, you will be using either your own Biowulf account, or a student account. If you do not have a Biowulf account, see the instructor to get the login and password for a Read More...
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Bioinformatics
Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...
Web Page
Bioinformatics
11/13/2017 - MetaCore™ is an integrated curated knowledge database and software suite for pathway analysis of experimental data and gene lists. The scope of data types includes microarray and sequence-based gene expression, SNPs and CGH arrays, Read More...
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Bioinformatics
02/09/2016 - BTEP Workshop on Pathway Analysis with MetaCore NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) in Read More...
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Bioinformatics
12/17/2014 - Day 1 - AM (9:30 AM – 12:30 PM) Ingenuity IPA - Basic Training ( Kate Wendelsdorf, Ph.D. - Ingenuity Pathway Analysis) Ingenuity IPA® is the industry leading software solution to model, analyze, and understand complex biological and Read More...
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Confocal
Wide-field microscopy This is the technical term for a conventional fluorescence microscope. Typically the entire field of view of the specimen is illuminated with excitation light and then all of the emitted fluorescence is collected Read More...
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Confocal
Multicolor imaging Fluorescence imaging is used for protein localization and colocalization in 3D. Multi-color imaging is necessary to observe colocalization of several proteins in the same cell. Many fluorescent proteins are now available for multi-color Read More...
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Confocal
Our Mission The NCI Optical Microscopy Cores are instrumental in advancing cancer research through optical measurements and analysis. Serving the Center for Cancer Research community, which is home to approximately 250 Principal and Senior Investigators across 50 Read More...
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Confocal
Macro’s for Image Processing Dr. Wisniewski wrote a number of custom ImageJ Macros aimed at streamlining image processing tasks such as: Software Imaris The world’s leading Interactive Microscopy Image Analysis software company, actively Read More...
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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...
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Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
Web Page
Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
Web Page
Bioinformatics
Data import and reshape Objectives 1. Learn to import multiple data types 2. Data reshape with tidyr : pivot_longer() , pivot_wider() , separate() , and unite() Installing and loading packages So far we have only worked with objects that Read More...
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Bioinformatics
Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...
Web Page
Bioinformatics
05/22/2017 - Driven by the decreasing costs and increasing performance of next-generation sequencing (NGS) technologies, the amount of available genomic data has grown exponentially in recent years. While most of the analyses of these data is Read More...