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Bioinformatics
10/08/2024 - Mass spectrometry is a powerful tool for analyzing protein regulation and function. This workshop, divided into two parts, will explain the fundamentals of mass spectrometry experiments and how proteins are identified. We will further Read More...
Bethesda, MD
Collaborative
The Mass Spectrometry Unit of the Collaborative Protein Technology Resource uses mass spectrometry for the study of proteins. We perform collaborative experiments with CCR researchers in areas such as: interactomes, quantitative global proteome analyses, and Read More...
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Bioinformatics
08/10/2021 - Register Now Faculty: Evan Newell, PhD – Fred Hutchinson Cancer Institute Moderator: Carsten Krieg, PhD – Medical University of South Carolina Target Audience This series will serve as an excellent resource for all stakeholders interested in Read More...
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Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) 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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Bioinformatics
07/10/2024 - Qlucore Omics Explorer is a point-and-click software for analyzing various omics data including RNA sequencing (bulk and single cell), proteomics, and metabolomics. Participants will learn to perform QC, construct visualizations (ie. PCA, heatmap, volcano, Read More...
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Bioinformatics
Q1. What is the value of each object? Run the code and print the values. mass <- 47.5 # mass? age <- 122 # age? mass <- mass * 2.0 # mass? age <- Read More...
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Bioinformatics
To take full advantage of R, you need to install R packages. R packages are loadable extensions that contain code, data, documentation, and tests in a standardized shareable format that can easily be installed by Read More...
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Bioinformatics
Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of the elements in the following vector and save to an Read More...
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Bioinformatics
Lesson 2 Exercise Questions: Base R syntax, objects, and data types Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of Read More...
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Bioinformatics
Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of the elements in the following vector and save to an Read More...
Web Page
Bioinformatics
Lesson 2 Exercise Questions: Base R syntax, objects, and data types Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of Read More...
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CREx News & Updates October 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CPTR Read More...
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Bioinformatics
12/14/2012 - All researchers at the NCI have unlimited access to Pathway Studio software, MedScan text mining module, and the Mammalian database. Pathway Studio Application Areas Include: • Disease Biology • Disease Biomarkers • Drug Target Identification • Protein Functionality • Read More...
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Bioinformatics
12/11/2012 - All researchers at the NCI have unlimited access to Pathway Studio software, MedScan text mining module, and the Mammalian database. Pathway Studio Application Areas Include: • Disease Biology • Disease Biomarkers • Drug Target Identification • Protein Functionality • Read More...
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Bioinformatics
09/27/2022 - Speaker: Neil L. Kelleher, Ph.D. Walter and Mary E. Glass Professor of Molecular Biosciences Professor of Chemistry in the Weinberg College of Arts and Sciences Professor of Medicine (Hematology & Oncology) in Read More...
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Bioinformatics
05/12/2021 - Register Description: In this advanced FlowJo cytometry webinar participants will learn how to move beyond the basics of the application to conduct in-depth analyses. FlowJo can accommodate high dimension, high throughput flow, or mass Read More...
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Bioinformatics
06/28/2020 - The overarching goal of our work is to implement data analysis and informatics tools for integration of biological mass spectrometry data (proteomics and metabolomics) with genomic / transcriptomic information to advance cancer research. We are Read More...
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Bioinformatics
Let's load in some data to work with. In this lesson, we will continue to use sample metadata, raw count data, and differential expression results derived from the airway RNA-Seq project. Get the sample Read More...
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Bioinformatics
Let's load in some data to work with. In this lesson, we will continue to use sample metadata, raw count data, and differential expression results derived from the airway RNA-Seq project. Get the sample Read More...
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Bioinformatics
Let's use penguins for additional practice. The penguins data contains Data on adult penguins covering three species found on three islands in the Palmer Archipelago, Antarctica, including their size (flipper length, body mass, bill Read More...
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Bioinformatics
Errors regarding packages usually revolve around: function masking issues (e.g., dplyr::select() vs MASS::select()). call the package directly. dependency loading issues (e.g., Error: package or namespace load failed for ‘PACKAGE.NAME.HERE’) Read More...
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Bioinformatics
Errors regarding packages usually revolve around: function masking issues (e.g., dplyr::select() vs MASS::select()). call the package directly. dependency loading issues (e.g., Error: package or namespace load failed for ‘PACKAGE.NAME.HERE’) Read More...
Frederick, Maryland
Core Facility
CLIA-Certified Technologies Offered: Fragment Analysis for Micro-satellite Instability Detection, Pharmacoscan Array for Pharmacogenomics, Mutation Detection for PCR and Sanger Sequencing, DNA extraction from whole blood, saliva, FFPE tissues, buccal swabs, nails, hair, PBMCs, buffy coats, Read More...
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Confocal
Research Mission The goal of OMAL’s research is to understand molecular mechanisms driving carcinogenesis and the reversal of this process through treatment, by utilization and advancement of optical microscopy techniques. These techniques include multiplex 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
ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
Let's load in some data to work with. In this lesson, we will continue to use sample metadata, raw count data, and differential expression results from the airway RNA-Seq project. Load the data: #sample Read More...
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Bioinformatics
All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only includes the columns Read More...
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Bioinformatics
Help Session Lesson 5 All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only Read More...
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Bioinformatics
10/13/2021 - Register for the 2021 Clinical Proteomics Tumor Analysis Consortium (CPTAC) Virtual Scientific Symposium to hear CPTAC investigators share their latest discoveries in the field of cancer proteogenomics, cancer research, and data analysis tools. In addition Read More...
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Bioinformatics
02/08/2021 - Presenter: Dr. Marjan Gucek, director for the NHLBI Proteomic Core Summary: “Proteomics Core provides access to mass spectrometry and gel based proteomics for identification and quantitation of proteins and their post-translational modifications (PTM). Our Read More...
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Bioinformatics
01/19/2021 - Please register here to attend. Webinar Presenter: Dr Tao Liu, Pacific Northwest National Laboratory Join the Office of Cancer Clinical Proteomics Research (OCCPR) for our 2021 OCCPR webinar series! Hear from our Clinical Proteomic Tumor Read More...
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Bioinformatics
01/07/2021 - Presenter: Gary Patti, Ph.D. Departments of Chemistry, Genetics, and Medicine Washington University in St. Louis It is well established that the metabolism of cancer cells is reprogrammed to support the demands of rapid Read More...
Web Page
Bioinformatics
11/20/2020 - Register Description: In this advanced FlowJo cytometry webinar participants will learn how to move beyond the basics of the application to conduct in-depth analyses. FlowJo can accommodate high dimension, high throughput flow, or mass Read More...
Web Page
Bioinformatics
10/21/2020 - Register Data preprocessing and compound identification are two important steps for making sense of mass spectrometry-based untargeted metabolomics data. In this webinar, Dr. Xiuxia Du will demonstrate the software tool “ADAP” and the online 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...
Frederick, MD
Core Facility
The Biophysics Resource (BR) was established in January 2001. Our mission is to provide CCR investigators with access to both the latest instrumentation and expertise in characterizing the biophysical aspects of systems under structural investigation. The Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Extramural Common Fund Resources Metabolomics Workbench Developed by the NIH Metabolomics Common Fund's National Metabolomics Data Repository ( Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH 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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...
Bethesda, MD
Core Facility
The Biophysics Core’s mission is to provide support in the study of macromolecular interactions, dynamics, and stability by offering consultations, training, professional collaborations, and instrument access. General Services Multi-technique molecular interaction studies, Kinetic and Read More...
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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...
Rockville, MD
Repositories
Trans NIH Facility
Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, Read More...
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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...
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Bioinformatics
To explore tidyverse functionality, let's read in some data and take a look. #let's use our differential expression results dexp "ENSG00000000003", "ENSG00000000419", "ENSG00000000457", "E… $ albut untrt, Read More...
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Bioinformatics
For this lesson, we will use sample metadata and differential expression results from the airway RNA-Seq project. Let's begin by importing the data. #sample information smeta ## 1 GSM1275862 N61311 untrt untrt SRR10395… 126 SRX384345 SRS50… SAMN0242… ## 2 Read More...
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Bioinformatics
In comma separated files the columns are separated by commas and the rows are separated by new lines. To read comma separated files, we can use the specific functions ?read.csv() and ?read_csv() . Let' Read More...
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Bioinformatics
Often we will apply multiple functions to wrangle a data frame into the state that we need it. For example, maybe you want to select and filter. What are our options? We could run one Read More...
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Bioinformatics
Load in the comma separated file "./data/countB.csv" and save to an object named gcounts . {{Sdet}} Solution } gcounts `...1` colnames ( gcounts )[ 1 ] ## 1 Tspan6 703 567 867 71 970 242 ## 2 TNMD 490 482 18 342 935 469 ## 3 DPM1 921 797 622 661 8 500 ## 4 SCYL3 335 216 222 774 979 793 ## 5 FGR 574 574 515 584 941 344 ## 6 CFH 577 792 672 104 192 936 ## 7 FUCA2 798 766 995 27 756 546 ## 8 GCLC 822 874 923 705 667 522 ## 9 NFYA 622 793 918 868 334 64 {{Edet}} Plot the Read More...
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Bioinformatics
Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim() . You will need to troubleshoot the error message and modify the function arguments as needed. {{Sdet}} Solution } library ( Read More...
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Bioinformatics
In tab delimited files, data columns are separated by tabs. To import tab-delimited files there are several options. There are base R functions such as read.delim() and read.table() as well as the readr Read More...
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Bioinformatics
10/03/2022 - Join Drs. Andrey Fedorov and Hugo Aerts for the upcoming October NCI Imaging and Informatics Community Webinar. Their presentation includes updates to the Imaging Data Commons (IDC)—a repository of the NCI Cancer Research Read More...
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Bioinformatics
02/11/2022 - The seminar is open to the public and registration is required each month. Dr. Hunter Mosely plans to discuss the richness of open data resources in biology and how they can support machine learning Read More...
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Bioinformatics
11/16/2020 - Register Cancer heterogeneity is one of the major challenges that hampers the ability to cure the disease. Tumors differ in their genetic profiles and the cellular interactions in the microenvironment, and each tumor may Read More...
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Bioinformatics
06/12/2020 - Metabolomics as a high-throughput molecular phenotyping technique is growing across all domains in the life-sciences. The data processing and analysis is often performed with many programs using conventional computing solutions but little standardisation for Read More...
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Bioinformatics
For this lesson, we will use sample metadata and differential expression results derived from the airway RNA-Seq project. See here for instructions on accessing the data. Let's begin by importing the data. #sample information Read More...
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Bioinformatics
Let's explore how piping streamlines this. Piping (using %>%) allows you to employ multiple functions consecutively, while improving readability. The output of one function is passed directly to another without storing the intermediate Read More...
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Bioinformatics
In comma separated files the columns are separated by commas and the rows are separated by new lines. To read comma separated files, we can use the specific functions ?read.csv() and ?read_csv(). Let' Read More...
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Bioinformatics
Q4. Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim(). You will need to troubleshoot the error message and modify the function arguments as needed. Q4: Solution Read More...
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Bioinformatics
All solutions use the pipe. Solutions have multiple possibilities. Q1. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc. Create a data frame from sc that only Read More...
Web Page
Bioinformatics
GSEA analysis requires two inputs, a ranked gene list and gene set collections. For this example, we will create a ranked gene list using differential expression results from DESeq2 from a tumor-normal experiment. To obtain Read More...
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Bioinformatics
Names should: Avoid spaces or special characters EXCEPT '_' and '.' Not include numbers or symbols at the beginning of an object name. Avoid common names with special meanings (?Reserved) or assigned to existing functions (These will Read More...
Web Page
Bioinformatics
Names should: Avoid spaces or special characters EXCEPT '_' and '.' Not include numbers or symbols at the beginning of an object name. Avoid common names with special meanings (?Reserved) or assigned to existing functions (These will Read More...
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...
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...
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CREx News & Updates August 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI 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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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NCI CLIA Molecular Diagnostics Laboratory (CMDL) The NCI CMDL is available to assist all 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...
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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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The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on 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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...
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The CLIA Molecular Diagnostics Laboratory (CMDL) provides an array of services for groups at the NIH Clinical Center, Fort Detrick, and Hood College, among others. They support cancer- and disease-related research by making Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t Read More...
Web Page
CREx News & Updates September 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CCR Read More...
Research Training Park, NC
Core Facility
Trans NIH Facility
The Trans-NIH Metabolomics Core (TNMC) 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 TNMC is 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...
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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...
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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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Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of 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
This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...
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Bioinformatics
Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and Read More...
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Bioinformatics
dplyr : joining, tranforming, and summarizing data frames Objectives Today we will continue to wrangle data using the tidyverse package, dplyr . We will learn: how to join data frames using dplyr how to transform and create Read More...
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Bioinformatics
Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...
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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
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
While bracket notation is useful, it is not always the most readable or easy to employ, especially for beginners. This is where dplyr comes in. The dplyr package in the tidyverse world simplifies data wrangling 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...
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Bioinformatics
In tab delimited files, data columns are separated by tabs. To import tab-delimited files there are several options. There are base R functions such as read.delim() and read.table() as well as the readr Read More...