Bethesda, MD
Trans NIH Facility
MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, Read More...
Bethesda, MD
Trans NIH Facility
The NIH Library is a biomedical research library, whose collection and services are available at no cost to NIH staff: Electronic Resources: Over 20,000 electronic journals, 190,000 eBooks, and 50 databases. , Training classes covering topics such as data 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
The Central Repository provides the research community at the NCI with various cryogenic services, including low-temperature storage from +4° C to -196° C, controlled-rate freezing, computerized inventory and distribution of samples. The Central Repository is operated Read More...
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Bioinformatics
For tabular data in the form of csv files, which could contain multiple columns, the columns do not print to the terminal nicely aligned. The column command can fix this. The options and arguments in Read More...
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Bioinformatics
For tabular data in the form of csv files, which could contain multiple columns, the columns do not print to the terminal nicely aligned. The column command can fix this. The options and arguments in Read More...
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Bioinformatics
You can use the up arrow on your keyboard when using the console to pull up previously used commands. Certain symbols in R always come in pairs, for example, parentheses and quotation marks. If you Read More...
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Bioinformatics
Rather than printing file content in its entirety to the terminal, users can page through files using less. less example_rna_sequencing_counts.csv Users can use the up and down arrow on the keyboard Read More...
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Bioinformatics
09/09/2025 - https://researchfestival.nih.gov/2025-nih-research-festival Tuesday, September 09, 2025 Wednesday, September 10, 2025 Thursday, September 11, 2025 Friday, September 12, 2025 Tuesday, September 09, 2025 Poster Sessions throughout the day, FAES Terrace (9:00 a.m. - 5:00 p.m.) Morning Session, Bldg. 10, Lipsett Amphitheater (10:00 Read More...
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Bioinformatics
Regarding computational requirements, rule of thumb is to keep it at 8 samples or less when running on a laptop. You may be able to stretch it to 10 samples, but any more than that strains the Read More...
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Bioinformatics
Rather than printing file content in its entirety to the terminal, users can page through files using less. less example_rna_sequencing_counts.csv Users can use the up and down arrow on the keyboard 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...
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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
To run remove adapters for all FASTQ files in one go, the parallel command will be introduced. This command enables the analyst to run multiple tasks in parallel such as trimming of high throughput sequencing Read More...
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Bioinformatics
Make a new folder hcc1395_hisat2 to store the HISAT2 alignment results. mkdir hcc1395_hisat2 Stay in /data/user/hcc1395_b4b for this exercise. To perform alignment for all samples at once, the parallel Read More...
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Bioinformatics
This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...
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Bioinformatics
R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...
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Bioinformatics
Note that we now have differential expression by transcripts and our first column contains the transcript IDs. But what genes do these transcripts map to? We will need to do some data wrangling to find 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...