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
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...
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...
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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[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
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...
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
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
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
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
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
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...