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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...

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...

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...

05/16/2025 - This one-day in-person NIH AI Symposium will bring together researchers from a broad range of disciplines to share their AI-related research, with the goal of disseminating the newest AI research, providing an opportunity to Read More...

05/20/2024 - Hybrid (in-person location in Rockville, MD) Virtual attending via  WebEx Meeting, link will be available two weeks prior to the meeting date . Attend the  2024 Co-Clinical Imaging Research Resource Program (CIRP) Read More...

Bioinformatics Scientific Interest Group (Bioinformatics SIG) Fosters networking, collaboration, training, and career development for computational biologists and those interested in incorporating computational biology in their research. Topic areas include the computational aspects of functional and Read More...

To run Trimmomatic, the parallel command will be introduced. This command enables analyst to run multiple tasks in parallel such as trimming of high throughput sequencing data. The command construct is broken down below. cat Read More...

To plot using Seaborn, start the command with seaborn followed by the plot type, separated by a period. seaborn.plot_type This section will use Seaborn's scatterplot to explore how to work with and Read More...

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...

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...

/*color variables main= #1E1E1E secondery= #333333 highlight= #073254 */ * { box-sizing: border-box; } body, html { font-family: "Open Sans", sans-serif; } .clearfix:before, .clearfix:after { content: " "; display: table; } .clearfix:after { clear: both; } h1, h2, h3, h4, h5, h6 { font-weight: 300; } body Read More...

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...

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...

This page uses context taken directly from the Biostar Handbook by Istvan Albert. Remember to activate the class bioinformatics environment. conda activate bioinfo Introduction to Genomic Variation Genomic variations are typically categorized into different classes Read More...

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...

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...

To plot using Seaborn, start the command with seaborn followed by the plot type (where plot type can be any plot, for instance if the user wants a scatter plot then the command would be Read More...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Multi-figure panel Objectives Combine multiple plots into a single figure Learn how to use patchwork and cowplot The primary purpose of this lesson is to learn how to combine multiple figures into a single multi-panel Read More...

Objectives Combine multiple plots into a single figure Learn how to use aspects of cowplot and patchwork The primary purpose of this lesson is to learn how to combine multiple figures into a single multi-panel Read More...