Bethesda, MD
Trans NIH Facility
The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...
Bethesda, MD
Trans NIH Facility
Radiology and Imaging Sciences provides imaging services for National Institutes of Health (NIH) Clinical Center patients participating in research protocols conducted by the various NIH institutes. Services include X-rays, fluoroscopy, ultrasound, magnetic resonance imaging (MRI) Read More...
Bethesda, MD
Trans NIH Facility
The Mouse Imaging Facility (MIF) is a shared, trans-NIH intramural resource for animal imaging studies. MIF provides access to state-of-the-art radiological imaging methods optimized for mice, rats, other animals, and tissue samples. MIF provides intellectual, Read More...
Frederick, MD
Core Facility
The function of the SAIP is to collaborate with NCI investigators in the development of mouse models, new molecular imaging probes for early detection and therapy, monitor tumors in vivo, and perform drug efficacy studies Read More...
Frederick, MD
Core Facility
The Electron Microscopy Core (EMC), formerly known as Electron Microscopy Lab (EML), offers investigators access to unique expertise and EM technologies that allow CCR Investigators to explore new avenues of research in order to enhance Read More...
Bethesda, MD
Core Facility
The NHLBI Murine Phenotyping Core carries out physiologic and behavioral testing in a diversity of mouse models for NHLBI and other NIH institutes.Established TechnologiesCardiovascular Phenotyping, Metabolic Phenotyping, Pulmonary Phenotyping, Behavioral Phenotyping, Exercise Physiology, Echocardiography, Read More...
Bethesda, MD
Trans NIH Facility
NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of protein, macromolecular complexes, membrane receptors, cellular organelles, and Read More...
Frederick, MD
Collaborative
CCR VOLUME Electron Microscopy Core (CVEMC), formerly known as volume Electron Microscopy (vEM), aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell Read More...
Frederick, MD
Collaborative
The Crystallization Facility provides an automated environment for setting up crystallization experiments in a high-throughput format, storing the resulting plates under controlled conditions, and monitoring the status of prepared droplets remotely. The Facility is in Read More...
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...
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
Repositories
TCIA is a service which de-identifies and publishes medical images of cancer for download. New data proposals are reviewed by an Advisory Group on a quarterly basis. The data are organized as “collections”; typically, patients’ Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...
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[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...
Frederick, MD
Collaborative
In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...
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CREx News & Updates July 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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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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging 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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Bioinformatics
02/03/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...
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Bioinformatics
11/01/2023 - Analysis of medical images such as MRI, CT, X-ray and ultrasound requires a comprehensive environment for data access, visualization, processing, and algorithm development. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Read More...
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Bioinformatics
06/28/2021 - Dear colleagues, For our next meeting we will be having the second PI Presentation from our branch chief, Dr. Eytan Ruppin, and four of his lab members. They will go over some projects in Read More...
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Bioinformatics
This exercise will create bigWig files from the hcc1395 BAM alignment output. bigWig files have pre-computed sequencing depth information and will enable researchers to see areas in the genome where there are sequences mapped to Read More...
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Bioinformatics
Some use bar plots to illustrate mean plus / minus standard deviation in the data, so let's take a moment to learn how to incorporate error bars in our data. We will learn to do Read More...
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Bioinformatics
In this lesson we will use data obtained from a study that examined the effect that dietary supplements at various doses have on guinea pig tooth length. This data set is built into R, so Read More...
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Bioinformatics
04/05/2021 - Dear colleagues, We'll be hosting a special guest lecture by Prof. John Moult from UMD. Abstract: Computing the three-dimensional structure of a protein molecule from its amino acid sequence is a long-standing grand Read More...
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Bioinformatics
Lastly, one should examine correlations between the variables which helps to find out the relationship between two quantities. It gives the measure of the strength of association between two variables. The value of Correlation Coefficient Read More...
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Bioinformatics
Lastly, one should examine correlations between the variables which helps to find out the relationship between two quantities. It gives the measure of the strength of association between two variables. The value of Correlation Coefficient Read More...
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Bioinformatics
03/26/2025 - Developing artificial intelligence (AI) schemes to assist the clinician towards enabling precision medicine approaches requires development of objective markers that are predictive of disease response to treatment or prognostic of longer-term patient survival. The Read More...
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Bioinformatics
Alpha diversity is within sample diversity. When exploring alpha diversity, we are interested in the distribution of microbes within a sample or metadata category. This distribution not only includes the number of different organisms (richness) Read More...
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Bioinformatics
Often, we will use bar plots to illustrate mean plus minus standard deviation in our data so we should learn how to incorporate error bars in our plots. We will learn to do this using 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
02/12/2021 - registration is required ODSS is launching a new seminar series to highlight exemplars of data sharing and reuse on Feb. 12 at noon EST. The monthly series will highlight researchers who have taken existing data Read More...
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Bioinformatics
02/21/2024 - Dear colleagues, The Bioinformatics and Computational Biosciences Branch (BCBB) at NIAID invites you to join us for in-person hands-on workshops that will explore biovisualization techniques. Developers of UCSF ChimeraX and Cytoscape will be on Read More...
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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...
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Bioinformatics
Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodrí Read More...
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Bioinformatics
References This course series primarily used information from QIIME2.org and the QIIME2 forum . Specifically, this course series focused on data and code from the QIIME2 Cancer Microbiome Intervention Tutorial . Special thanks goes to the Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...
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Bioinformatics
In this section we will learn how to construct bar plots using data obtained from a study that examined the effect that dietary supplements at various doses have on guinea pig tooth length. This data Read More...
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Bioinformatics
Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar plots, box & whisker plots, and histograms. Read More...
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Bioinformatics
/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...
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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
There are many packages and functions available in R programming for performing PCA. Some of the most popular functions are stats::prcomp(), stats::princomp(), FactoMineR::PCA(), and ade4::dudi.pca(). These functions largely differ in Read More...
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Bioinformatics
To load genomic data tracks, select "File" in the IGV menu bar. User can load from file, URL, or server. In this case, "Load from File" will be used to select 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
Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...
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Bioinformatics
Before we can align the HBR and UHR raw sequencing data to human chromosome 22 transcriptome, we need to create an index of this transcriptome (like we did with the genome). This will make the alignment Read More...
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Bioinformatics
This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...
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Bioinformatics
This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
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Bioinformatics
Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...