Search Results for: mRNA-Seq

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...

The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...

CREx News & Updates July 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

10/26/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m14c6833bc06f89408464fac5bb2e8ce9 Human cells generate remarkable regulatory and functional complexity from a finite set of genes. Production of Read More...

06/24/2020 - Join us for a webinar:  How to Analyze Single Cell RNA-Seq Data: Point, Click, Done Register:  https://www.partek.com/webinar/how-to-analyze-single-cell-rna-seq-data-point-click-done/ Single cell mRNA sequencing allows for the identification of different cell subtypes Read More...

Introduction to single cell RNA-Seq Single cell RNA sequencing (scRNA-Seq) is becoming increasingly more common in biomedical research, but what is scRNA-Seq? How does it differ from other transcriptomic approaches (e.g., bulk RNA-Seq), and Read More...

Single cell RNA sequencing (scRNA-Seq) is becoming increasingly more common in biomedical research, but what is scRNA-Seq? How does it differ from other transcriptomic approaches (e.g., bulk RNA-Seq), and what are the potential applications, Read More...

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 type of RNA (mRNA, rRNA, 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...

The CCBR Single-cell RNA-seq Workflow on NIDAP Josh Meyer, bioinformatics analyst (CCBR), will cover a scRNA-seq workflow available to NCI researchers on NIDAP . NIDAP, the NIH Integrated Data Analysis Platform, is a cloud-based and collaborative Read More...

Now that we have loaded the package, we can import our data. Generally, in R programming, functions that involve data import begin with "read / Read". Seurat includes a number of read functions for 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...

06/03/2025 - Class Description Introduction to RNA-Seq data analysis Step-by-step live demonstration of RNA-Seq analysis using the Galaxy platform   What You’ll Learn: How to independently carry out the basic gene expression Read More...

Josh Meyer, bioinformatics analyst (CCBR), will cover a scRNA-seq workflow available to NCI researchers on NIDAP . NIDAP, the NIH Integrated Data Analysis Platform, is a cloud-based and collaborative data aggregation and analysis platform that hosts Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

05/29/2024 - This talk will cover a scRNA-seq workflow available to NCI researchers on NIDAP. NIDAP, the NIH Integrated Data Analysis Platform, is a cloud-based and collaborative data aggregation and analysis platform that hosts user-friendly bioinformatics Read More...

There are several metrics that can be used to assess overall quality. The base workflow from Seurat suggests the following: nCount_RNA - the absolute number of RNA molecules (UMIs) per cell (i.e., count Read More...

This is a mini seminar series designed to help attendees learn more about single cell RNA-Seq, from applicable technologies to data analysis.

Welcome to Getting Started with scRNA-Seq This is a mini seminar series designed to help attendees learn more about single cell RNA-Seq, from applicable technologies to data analysis. Seminar Schedule April 3, 2024 - The CCR Single Read More...

April 3, 2024 - The CCR Single Cell Analysis Facility (SCAF): An Overview (Mike Kelly, SCAF) ( Recording ) April 10, 2024 - Introduction to single cell RNA-Seq (Charlie Seibert, Saeed Yadranji Aghdam, SCAF) ( Recording ) April 17, 2024 - SCAF: Overview of Cell 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...

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...

06/16/2022 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

10/19/2021 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

09/24/2020 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

02/21/2017 - This BTEP Workshop will cover the fundamentals and best practices of Exome-Seq analysis, including downstream interpretation of variants using a variety of in-house and NCI-licensed software solutions. There will be hands-on training on CCBR Read More...

04/15/2025 - What to bring:  Laptop capable of connecting to internet via NIH  wifi Are you looking to expand the reach of your sequencing to enable what long read technologies can provide?& Read More...

06/12/2024 - Join us for an engaging training session where we will examine the similarities and differences between machine learning and statistical differential gene expression (DGE) analysis using Qlucore Omics Explorer. Qlucore Omics Explorer is a Read More...

Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn how to import your data for working with R. Learn about Seurat and the Seurat object including how to 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...

Use the read functions to import data (e.g., read.csv , read.delim , etc.). Use write functions to export data (e.g., write.table ). There are specific functions for unique data. For example, we will Read More...

Following normalization, the next step is to find variable features. In most scRNA-seq experiments only a small proportion of the genes will be informative and biologically variable. A subset of cells with high cell to Read More...

BTEP scRNA-Seq FAQs Training modules available on Github Orchestrating Single Cell Analysis with Bioconductor Single Cell Best Practices 2023 BTEP Single Cell Annotation Seminar Series Event recordings are located in the BTEP Video Archive . Analysis Guides Read More...

Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse Read More...

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 will Apply Read More...

Following Cell Ranger and/or other pre-processing tools, you will have a gene-by-cell counts table for each sample. The three most popular frameworks for analyzing these count matrices include: R ( Seurat ). Seurat, brought to you Read More...

This tutorial assumes that all pre-processing steps (read demultiplexing, FASTQ QC, reference based alignment, error correction) have been completed. At this stage of the analysis, a gene-by-cell count matrix has been generated for each sample.

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 have already been filtered Read More...

Data frames hold tabular data comprised of rows and columns; they can be created using data.frame() . To understand more about the structure of an object and data frame, consider the following functions: str() displays 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...

01/19/2022 - For our next CDSL Webinar we will have a guest lecture by  Dr. Russell Rockne from Beckman Research Institute, City of Hope National Medical Center. Abstract: Temporal dynamics of gene expression inform cellular and Read More...

05/01/2025 - In this talk, Dr. Stergachis will present data on using Fiber-seq and deaminase-assisted Fiber-seq (DAF-seq) to resolve the functional impact of both germline and somatic genetic variants, as well as to identify somatic epimutations Read More...

12/05/2024 - This one and a half hour online training will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be Read More...

12/03/2024 - This one and a half hour online training  will provide a demonstration of how to build a Bulk RNA-Seq data analysis pipeline using a fastq file. Partek  Flow   Read More...

06/20/2024 - Dr. Irizarry will share findings demonstrating limitations of current workflows that are popular in single cell RNA-Seq data analysis. Specifically, he will describe challenges and solutions to dimension reduction, cell-type classification, and statistical significance Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

The Seurat Object is a data container for single cell RNA-Seq and related data. It is an S4 object, which is a type of data structure that stores complex information (e.g., scRNA-Seq count matrix, Read More...

Additional Resources BTEP scRNA-Seq FAQs Training modules available on Github Orchestrating Single Cell Analysis with Bioconductor Single Cell Best Practices 2023 BTEP Single Cell Annotation Seminar Series Event recordings are located in the BTEP Video Archive . Read More...

Here, we will start with the data stored in a Seurat object. For instructions on data import and creating the object, see an Introduction to scRNA-Seq with R (Seurat) . adp

Here, we will start with the data stored in a Seurat object. For instructions on data import and creating the object, see an Introduction to scRNA-Seq with R (Seurat) and Getting Started with Seurat: QC Read More...

2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...

Alignment RNASeq Mapping Challenges The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data. Mapping Challenges Reads not perfect 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...

02/20/2020 - Learn how to easily analyze your gene expression data yourself - using Qlucore Omics Explorer NCI/CCR:To get access to Qlucore, put a request into NCI at Your Service under Get Help https:// Read More...

There are a number of core facilities available to NCI researchers. See more information from the Office of Science and Technology Resources. We most commonly see data from the following cores: CCR Sequencing Facility (CCR-SF) Read More...

06/17/2025 - Explore tran cription factor binding ite analy i and peak calling. Thi training will introduce ChIP- eq data analy i followed by a tep-by- tep live demon tration of a ChIP- eq analy i Read More...

04/01/2025 - Whether you are measuring mRNA expression, protein expression, DNA methylation, expressed miRNAs, protein binding to DNA or RNA, etc., you will likely end up with a list of genes or gene products from which Read More...

01/22/2025 - Join us for a one-hour talk investigating tumor signatures in the BRCA dataset by utilizing the CCBR Single-Cell RNA-seq Workflow on NIDAP. This talk will take you through an analysis of a publicly available Read More...

07/19/2024 - The molecular mechanisms underlying many types of cancer involve aberrances in trans-acting factors and their binding to cis-regulatory elements to regulate gene expression. Techniques such as ChIP-seq, DNase-seq, and ATAC-seq are commonly used to Read More...

06/06/2024 - The Brooks Lab developed a computational tool called FLAIR (Full-Length Alternative Isoform Analysis of RNA) to produce confident transcript isoforms from long-read RNA-seq data with the aim of alternative isoform detection and quantification. With Read More...

06/04/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This training will introduce ChIP sequencing data Read More...

help() and ? "provide access to the documentation pages for R functions, data sets, and other objects". help.search() "allows for searching the help system for documentation matching a given character string in Read More...

R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...

Please email us at ncibtep@nih.gov with questions, comments, or concerns.

All seminars will be recorded and made available on the BTEP Video Archive 24 to 48 hours following the event.

RStudio is an integrated development environment for R, and now python. RStudio includes a console, editor, and tools for plotting, history, debugging, and work space management. It provides a graphic user interface for working with Read More...

You can annotate your code by starting annotations with # . Comments to the right of # will be ignored by R. Use # ---- to create navigable code sections. For report generation, use R Markdown or Quarto .

R functions perform specific tasks. R has a ton of built-in functions and functions available through additional packages. You can also create your own functions. The general syntax for a function is the name followed Read More...

A vector is a collection of values that are all of the same type (numbers, characters, etc.) --- datacarpentry.org c() - used to combine elements of a vector When you combine elements of different Read More...

Unlike vectors, lists can hold values of different types. list(1, "apple", 3)

There are 3 primary plotting systems with R: base R, ggplot2 , and lattice . Data visualization functions from Seurat primarily use ggplot2 and can easily be customized by adding additional ggplot2 layers. Check out the R Graph Read More...

Seurat can be installed directly from CRAN. install.packages("Seurat") If you would like to install the development version or previous versions, see the installation instructions available here . Load the package from your Read More...

The following resources were instrumental in designing this lesson: https://www.sc-best-practices.org/introduction/analysis_tools.html#single-cell-analysis-frameworks-and-consortia https://satijalab.org/seurat/articles/essential_commands https://github.com/hbctraining/scRNA-seq_online/blob/master/lessons/03_SC_ Read More...

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Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...

We will build a database out of all features of the 2014 Ebola genome under accession number KM233118. This data will go into a new directory named "db_2014". mkdir -p db_2014 # Get the 2014 Ebola Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinfo environment. conda activate bioinfo Then create a new directory for files we will be working with today in Read More...

Whether you are measuring mRNA expression, protein expression, DNA methylation, expressed miRNAs, protein binding to DNA or RNA, etc., you will likely end up with a list of genes or gene products from which you Read More...

09/26/2019 - Qlucore Omics Explorer is an interactive analysis and visualization tool that helps the user to find groups, structures, variable networks and discriminating variables. You can use your own data and analyze public data. Omics Read More...

06/19/2017 - Harvesting the Wealth of TCGA Data The Cancer Genome Atlas (TCGA) is a large-scale study that has catalogued genomic data accumulated from more than 20 different types of cancer including mutations, copy number variation, mRNA Read More...

01/07/2016 - REGISTRATION IS FULL FOR THIS WORKSHOP (25 ATTENDEES; 6 WAITLIST) The Cancer Genome Atlas (TCGA) is a large-scale study that has cataloged genomic data accumulated for many different types of cancers, and includes mutations, copy number Read More...

After data has been transferred to the NIH Partek Flow server, the next step is to import them into a project. Sign onto Partek Flow and hit the "New project" button click to Read More...

Note This is not an exhaustive list. cBioPortal cBioPortal is a platform for exploratory and interactive visualization, analysis, and download of cancer genomics data. With cBioPortal You can quickly view genomic alterations across a set Read More...

04/16/2026 - The ability to measure gene expression levels for individual cells (vs. pools of cells) and with spatial resolution is crucial to address many important biological and medical questions, such as the study of stem Read More...

01/13/2026 - The past decade has witnessed thriving cell atlas research activities in elucidating human cell types and their organization principles. The NIH BRAIN Initiative launched a pilot 3-year BRAIN Initiative Cell Census Consortium (BICCC) in 2014, Read More...

10/29/2025 - The Buenrostro lab is broadly dedicated to advancing our knowledge of gene regulation and the downstream consequences on cell fate decisions. To do this, the Buenrostro lab develops new technologies utilizing molecular biology, microscopy Read More...

07/24/2025 - QIAGEN Ingenuity Pathway Analysis (IPA) is the leading pathway analysis application among the life science research community and is cited in tens of thousands of articles for the analysis, integration and interpretation of data Read More...

Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class Read More...

04/03/2025 - DAVID (the Database for Annotation, Visualization and Integrated Discovery) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes acquired from high-throughput assays such 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...

What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...

10/30/2024 - In this session of the BTEP Coding Club, Emily Clough, PhD, GEO Curator, will explore updates to analysis tools available within the Gene Expression Omnibus (GEO), a public repository for gene expression and epigenomics Read More...

10/24/2024 - Recent advances in artificial intelligence (AI) have revolutionized the use of hematoxylin and eosin (H&E)-stained tumor slides for precision oncology, enabling data-driven approaches to predict molecular characteristics and therapeutic outcomes. In Read More...

10/23/2024 - Please send any questions and/or specific topic areas that you’re interested in hearing about for this presentation by Friday, 10/18 to Kayla Strauss . QIAGEN Ingenuity Pathway Analysis (IPA) is the leading Read More...

10/10/2024 - This introductory lecture will provide an overview of bulk RNA-Seq technology, its various application and shortcomings, as well as detailing the steps involved in analyzing the resulting data. The talk is aimed at those Read More...

09/11/2024 - Qlucore Omics Explorer is a point-and-click package available to NCI CCR scientists that enables visualization-based analysis of multi-omics data including RNA-seq, scRNA-seq, proteomics, metabolomics, as well as enabling the use of machine learning classification Read More...

06/06/2024 - The CCR Genomics Core Facility is pleased to host a virtual technology workshop with EpiCypher on CUT&RUN library prep/sequencing Presentation overview: The location of histone post-translational modifications and chromatin-associated proteins Read More...

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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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment and create a directory for today's work. conda activate bioinfo mkdir blast cd blast What is Read More...

nf-core is a community effort to generate a curated set of standardized, best-practice, reproducible, documented, NGS analysis pipelines. All these workflows are built using the versatile workflow manager, Nextflow , and have been released under the Read More...

04/16/2025 - Updated Location: ATRF, Frederick MD, Main Auditorium What to bring:  Laptop capable of connecting to internet via NIH wifi For questions or to register, please contact Amy Stonelake ( amy.stonelake@nih.gov ) Read More...

General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Amy Stonelake, Ph.D . BTEP Program Manager and Bioinformatics Analyst amy.stonelake@nih.gov I am an experienced Read More...

Cancer research is a complex and data-intensive field. Cloud computing offers a powerful solution for researchers to store, analyze, and share large datasets efficiently. In this month’s topic spotlight, we will explore cloud resources Read More...