Search Results for: Technical diagrams

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural CryoEM (NICE) Consortium NICE provides NCI, NIAID, NIEHS, NICHD, NIDCR, NEI, and NIA investigators with Read More...

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...

The NIH MRI Research Facility (NMRF) is a shared, intramural resource for human imaging studies. The NMRF is supported by all Institutes at NIH and reports to the Shared Resources Subcommittee (SRS) of the Scientific Read More...

The Mass Cytometry Core (MCC) provides access to cutting-edge platforms and expert technical support for high-dimensional single-cell analysis and spatial proteomic profiling. A central expertise of the core is Imaging Mass Cytometry (IMC), which allows Read More...

Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...

NCI established the Nanotechnology Characterization Laboratory (NCL) to support the extramural research community to accelerate the progress of nanomedicine by providing preclinical characterization and safety testing of nanoparticles. It is a collaborative effort between NCI, Read More...

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...

The Staff Scientists/Clinicians (SSSC) Technical Enrichment Program (STEP) was established to provide SSSC’s an opportunity to compete for funding to gain comprehensive training in state-of-the-art techniques available through CCR Cores and Facilities. The Read More...

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...

The CCR-Frederick Flow Cytometry Core Facility provides research support to the Frederick-CCR community, including cytometry analysis and sorting services, instrument maintenance, new user training, and technical consultation. Typical Assays Performed by Core Instruments Immunophenotyping of Read More...

The Mouse Metabolic Phenotyping Center (MMPC)Live Program provides standardized, high quality, unique, and hard to find phenotyping services for mouse models of diabetes, obesity, and related metabolic disorders. Emerging as the next iteration of Read More...

The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

The Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience Read More...

The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a Read More...

[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...

The total number of detected transcripts expressed in a cell is dependent on the amount of mRNA in a cell. Cells naturally vary in the total amount of mRNA expressed. However, the chemistry of the Read More...

Technical Replicates It’s generally accepted that they are not necessary because of the low technical variation in RNASeq experiments Biological Replicates (Always useful) Not strictly needed for the identification of novel transcripts and transcriptome Read More...

Basic RNASEQ Quality Control (QC) examines the technical characteristics of the data produced by the sequencer. ( It tells us nothing about whether the experiment worked . It answer the questions: Is the data of sufficiently high Read More...

Before diving into differential expression analysis, it is important to take a brief look at the concept of normalization. After obtaining expression counts, we will need to normalize the counts before performing differential expression analysis. Read More...

Central Dogma of Molecular Biology What is RNA Sequencing? How to Design an RNA-Seq Experiment Biological and Technical Replicates

01/28/2026 - Learn about Data Science from Dr. Mark Jensen, Director of Data Science, Center for Operations and Technical Support (CTOS), Bioinformatics and Computational Science (BACS), Leidos Biomedical Research, Inc.

01/16/2026 - Part of the Childhood Cancer Data Initiative (CCDI) Webinar Series During this webinar, experts from the USC Norris Comprehensive Cancer Center (NCCC) and Children's Hospital Los Angeles (CHLA) will present: An overview of Read More...

01/16/2026 - Speakers: James Amatruda, M.D., Ph.D. David Buckley, Ph.D. Jennifer Cotter, M.D. Alexander Markowitz, Ph.D. Moderator: Warren Kibbe, Ph.D., FACMI During this webinar, experts from the USC Norris Comprehensive Read More...

04/02/2025 - Join Dr. Caroline Chung as she discusses the multifaceted process of integrating AI into healthcare, emphasizing the critical role of context at every stage. You will be equipped with insights and strategies for successful Read More...

01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...

01/14/2025 - Join us for a webinar on EMERSE, a text processing system designed specifically for non-technical users, featuring David Hanauer, M.D., M.S. from the University of Michigan Medical School. EMERSE (Electronic Medical Record Read More...

06/28/2024 - During this webinar, participants will enhance their technical skills and proficiency with MATLAB by navigating online MATLAB resources designed to augment the learning experience and problem-solving capabilities, including documentation, examples, and community forums. In Read More...

The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...

Integration is the process of aligning the same cell types across samples, treatments, data sets, batches, etc. Clustering should represent biological differences and not technical artifacts. Integration is not always necessary. You should run through Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...

Quarto® is an open-source scientific and technical publishing system built on Pandoc --- https://quarto.org/ What does this mean? Quarto allows you to combine code, commentary, and other features to tell a story about Read More...

Biological replicates are essential to derive a meaningful result. Don’t mistake the high precision of the technique for the need for biological replicates. If technical or biological variability exceeds that of the experimental perturbation Read More...

Purpose of RNA sequencing and what biological questions can RNA sequencing answer Experimental considerations Sample preparation Replicates Technical noise Read depth More depth for low expression genes More depth for low expression differences between samples Read More...

We have already seen fasterq-dump in action (See Lesson 5). fasterq-dump is faster than fastq-dump because it uses multi-threading (default --threads 6 ). --split-3 and --skip-technical are defaults with fasterq-dump , so you do not need to worry about Read More...

We have already seen fasterq-dump in action (See Lesson 5). fasterq-dump is faster than fastq-dump because it uses multi-threading (default --threads 6 ). --split-3 and --skip-technical are defaults with fasterq-dump , so you do not need to worry about Read More...

Purpose of RNA sequencing and what biological questions can RNA sequencing answer Experimental considerations Sample preparation Replicates Technical noise Read depth More depth for low expression genes More depth for low fold differences Read length Read More...

Purpose of RNA sequencing and what biological questions can RNA sequencing answer Experimental considerations Sample preparation Replicates Technical noise Read depth More depth for low expression genes More depth for low fold differences Read length Read More...

Data Analysis Here are a pair of examples of RNASEQ complete workflows RNASEQ Pipeline from NCI CCBR https://github.com/CCBR/Pipeliner/blob/master/RNASeqDocumentation.pdf RNASEQ Nextflow Pipeline from nf-core https://nf-co.re/rnaseq Read More...

07/18/2023 - When it comes to data analysis and visualization, technical professionals who use Excel often encounter functional limitations. MATLAB supplements the capabilities of Excel by providing access to pre-built mathematical and analysis functions, visualization tools, Read More...

06/20/2023 - This class is designed for those who want to extend the basics of R Markdown and apply those skills in  Quarto . Quarto is an open-source scientific and technical publishing system that offers Read More...

06/15/2023 - This class is designed for those who want to learn the basic of R Markdown and apply those skills in  Quarto . Quarto is an open-source scientific and technical publishing system that offers Read More...

03/09/2023 - This class is designed for those who want to extend the basics of R Markdown and apply those skills in  Quarto . Quarto is an open-source scientific and technical publishing system that offers multilingual programming Read More...

03/07/2023 - This class is designed for those who want to learn the basic of R Markdown and apply those skills in  Quarto . Quarto is an open-source scientific and technical publishing system that offers multilingual programming Read More...

You may have noticed the option for Quarto documents and presentations in new versions of RStudio. "Quarto® is an open-source scientific and technical publishing system built on Pandoc" ( quarto.org ). It is a Read More...

10/26/2022 - What’s the difference between “regular” statistics (i.e. what you may have been using in the past several years) and the “new” Bayesian statistics? Which one should you use for your next study? Read More...

10/25/2022 - What’s the difference between “regular” statistics (i.e. what you may have been using in the past several years) and the “new” Bayesian statistics? Which one should you use for your next study? Read More...

06/14/2022 - Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to Read More...

06/07/2022 - Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to Read More...

05/31/2022 - Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to Read More...

09/29/2025 - Plea e u e thi link to acce overview, regi tration, and other information: http ://event .cancer.gov/nci/od -data-jamboree Childhood cancer i a rare di ea e with ~15,000 ca e diagno ed Read More...

09/11/2025 - This interactive 1.5-hour workshop introduces participants to prompt engineering for effective AI communication. Through engaging, collaborative activities, attendees will learn to design clear, specific prompts that yield high-quality AI outputs for both technical and Read More...

09/11/2025 - This interactive 1.5-hour workshop introduces participants to prompt engineering for effective AI communication. Through engaging, collaborative activities, attendees will learn to design clear, specific prompts that yield high-quality AI outputs for both technical and Read More...

08/25/2025 - This one hour and half online training is designed for those who create reproducible projects and also want to extend the basics of R Markdown and apply those skills in  Quarto . Quarto Read More...

07/23/2025 - The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were once challenging or impossible into routine tasks. While QIIME began as a marker gene (e. Read More...

05/01/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...

04/25/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...

03/06/2025 - This class introduces participants to the first steps to differential expression analysis in bulk RNA sequencing which involves filtering out noise from (ie. genes without expression across samples) and performing QC on the gene Read More...

11/12/2024 - NCI staff are welcome to register for an upcoming Childhood Cancer Data Initiative (CCDI) webinar: "Live Demo: National Childhood Cancer Registry (NCCR) Data Platform." Join the NCCR Technical Lead Johanna Goderre, M. Read More...

11/04/2024 - This one-hour interactive training will cover how to use the ScHARe cloud and Terra platform focusing on how to utilize over 260 social determinants of health (SDoH) data sets and analytic notebooks containing ready-to-use code. Read More...

09/30/2024 - In this webinar, you'll gain insights into the Electronic Medical Record Search Engine (EMERSE). EMERSE is a simple, powerful tool to help researchers like you identify key data within free text clinical notes Read More...

09/19/2024 - This hour and-half online training discusses how MATLAB enhances data analysis and visualization for technical professionals who typically use Excel. It highlights MATLAB's advantages, such as access to pre-built mathematical and analysis functions, Read More...

VlnPlot(adp, features = "percent.mt", group.by="orig.ident") + scale_fill_manual(values=cnames) + geom_hline(yintercept=10,color="red") Warning: Default search for "data" layer in " Read More...

There are a number of ways to explore the PCA results. Two of the more useful visualizations include the DimHeatmap() and ElbowPlot() . DimHeatmap() allows us to visualize the top genes contributing to each PC. Both Read More...

Look at the distribution of nCount_RNA with a Violin plot: # set colors cnames% ggplot(aes(color=orig.ident, x=nCount_RNA, fill= orig.ident)) + geom_density(alpha = 0.2) + theme_classic() + scale_x_log10() + geom_vline( Read More...

04/30/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...

04/23/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...

03/06/2024 - The National Institutes of Health (NIH) promotes the use of Common Data Elements (CDEs) to standardize data collection, sharing, and interoperability in health and disease research. In line with Congressional Appropriations language, the Office Read More...

03/04/2024 - This class is designed for those who want to extend the basics of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming Read More...

02/21/2024 - https://cap-lab.bio (link is external) https:// (link is external) qiime2.org (link is external) The QIIME platform, including QIIME 1 and QIIME 2 ( https://qiime2.org (link is external) ), has been extensively applied in microbiome Read More...

The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were challenging or impossible into routine tasks. While QIIME began as a marker gene (e.g., 16S, Read More...

Lesson 1: Toward fully reproducible microbiome multi-omics bioinformatics with QIIME 2 Lesson 1 does not include a hands on component, but rather includes an introduction to QIIME2 by guest speaker, Dr. Greg Caporaso, a leading developer of the Read More...

Course setup Intro to DNAnexus and the GOLD learning system Learning Objectives Unix Bootcamp Brief Review of R (for R scripts in later analyses) Introduction to RNA Sequencing Central Dogma of Molecular Biology What is Read More...

fastq-dump and fasterq-dump can be used to download FASTQ-formatted data. Both download the data in SRA format and convert it to FASTQ format. fastq-dump SRR1553607 creates the file: SRR1553607.fastq Check the file to make Read More...

fastq-dump and fasterq-dump can be used to download FASTQ-formatted data. Both download the data in SRA format and convert it to FASTQ format. fastq-dump SRR1553607 creates the file: SRR1553607.fastq Check the file to make Read More...

RNA-SEQ Overview What is RNASEQ ? RNA-Seq (RNA sequencing), uses next-generation sequencing (NGS) to reveal the presence and quantity of RNA in a biological sample at a given moment. (Wikipedia) Strictly speaking this could be any Read More...

Factor in at least 3 replicates (absolute minimum), but 4 if possible (optimum minimum). Biological replicates are recommended rather than technical replicates. Always process your RNA extractions at the same time. Extractions done at different times lead Read More...

Differential Expression Differential expression involves the comparison of normalized expression counts of different samples and the application of statistical measures to identify quantitative changes in gene expression between the different samples. Normalization and Statistical Significance Read More...

Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...

BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...

The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...

The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...

Lesson 12: RNA sequencing review 1 Learning objectives Here, we will do a quick review of what we have learned about RNA sequencing in Lessons 8 through 11. Accessing the Biostar handbook The URL for the Biostar handbook is Read More...

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...

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...

The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...

Lesson 17: RNA sequencing review 2 Learning objectives This lesson will serve as comprehensive review of Module 2. We will spend roughly the first hour reviewing the Module 2 material the second hour answering specific questions from the poll Read More...

Plots condense complex and busy tabular data into a form that is easier to interpret. An expression heatmap is a common visualization used in RNA sequencing analysis. A heatmap shows numerical data on a color Read More...

08/03/2023 - Identification of evolutionarily related DNA or protein sequences (homologs) is a crucial step in many biology workflows. For example, homologous sequences are used to infer relationships between organisms, understand how sequence changes affect observable Read More...

07/27/2023 - For 35 years, NCBI has collected a vast amount of sequence information including from a diverse array of organisms, including viruses, bacteria and fungi. With all of the databases and tools available& Read More...

07/18/2023 - This workshop is for life scientists, including educators and research students, who would like to learn to use the command line for searching and fetching NCBI data. In this workshop, we will begin with Read More...

07/13/2023 - The Comparative Genome Viewer (CGV) is a visualization tool that helps you quickly compare two genomes based on assembly-assembly alignments provided by NCBI. CGV includes eukaryotic (animal, plant and fungal) assemblies, and many cross-species Read More...

06/29/2023 - All biology research projects involve finding relevant literature and identifying related biological information. Often high school or new undergraduate students need guidance on how to effectively search for helpful information. For almost 35 years, the Read More...

06/28/2023 - This talk will focus on the FAIR principles and the other aspects of data and workflow management we believe are necessary for reproducible research. Mr. Smith will discuss how the Arvados platform helps you & Read More...

06/22/2023 - Scientists and educators from many different fields need to find and understand chemical data to perform their work. As such, understanding PubChem, the world’s largest collection of freely accessible chemical information, Read More...

High resolution single cell profiling assays have provided an unprecedented view of many biological systems and processes, but the spatial context in which this biology is occurring is often crucial. Spatial profiling, including spatial transcriptomic Read More...

12/09/2022 - PhysioNet is a data sharing platform that began as an outreach component for an NIH research project in 1999. Rebuilt in 2019 following FAIR principles (Findable, Accessible, Interoperable, Reusable), the platform has grown rapidly. It now Read More...

10/19/2022 - The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were challenging or impossible into routine tasks. While QIIME began as a marker gene (e.g., 16 Read More...

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...

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...

A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project Read More...

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...

This practice lesson is associated with Lesson 3 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will work on generating a feature table and representative sequences. We will continue working with the data Read More...

Practice Lesson 3 This practice lesson is associated with Lesson 3 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will work on generating a feature table and representative sequences. We will continue working with Read More...

A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...

Introduction to ggplot2 Objectives Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective figures. Data Visualization in the tidyverse Read More...

Lesson 6: sra-tools, e-utilities, and parallel This page uses some content directly from the Biostar Handbook by Istvan Albert. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch or swarm Read More...

Lesson 15: Finding differentially expressed genes Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 14 review In the previous lesson, we learned to visualize RNA sequencing alignment results in the Integrative Read More...

Lesson 6: Downloading data from the SRA For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch Read More...

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...

The identification of cell types in single cell genomics data (cell type annotation) can provide new insights into cellular identities, heterogeneity, and functional roles. Cell type annotation is challenging Read More...

A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To generate high quality data reports using R Markdown to make data analysis more reproducible. Reminder: Uploading files from RStudio Server Read More...

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...