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Bioinformatics
12/13/2017 - PLEASE NOTE: This workshop is a BYOC ( Bring Your Own LapTop Computer ) class, and requires installation of Partek Genomics Suite on your laptop ahead of the workshop. Government issued or personal computers are permitted. Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
This is a mini seminar series designed to help attendees learn more about single cell RNA-Seq, from applicable technologies to data analysis.
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
11/07/2024 - In the era of renewed space exploration, understanding female health risks during spaceflight is essential. This talk focuses on leveraging NIAID's ImmPort and NASA's GeneLab data using computational and systems biology to Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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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
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
Bethesda, MD
Repositories
Trans NIH Facility
The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...
Bethesda, MD
Collaborative
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...
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Bioinformatics
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...
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Bioinformatics
10/23/2023 - 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...
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Bioinformatics
Resources Tertiary Analysis - Biological Meaning Pathway Analysis IPA (Qiagen - CCR License) Future talk Functional Analysis Gene Set Enrichment Analysis (GSEA) https://www.gsea-msigdb.org/gsea/index.jsp DAVID https://david.ncifcrf.gov/ Enrichr Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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.
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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
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Bioinformatics
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...
Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
Bethesda, MD
Collaborative
The goals of the Bioinformatics Training and Education Program within NCI/CCR are: To make researchers aware of the bioinformatics resources available to them, To provide training and guidance on these resources regularly and at Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Please email us at ncibtep@nih.gov with questions, comments, or concerns.
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Bioinformatics
All seminars will be recorded and made available on the BTEP Video Archive 24 to 48 hours following the event.
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Bioinformatics
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...
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Bioinformatics
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 .
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Unlike vectors, lists can hold values of different types. list(1, "apple", 3)
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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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Bioinformatics
The following sources inspired this content: https://www.sc-best-practices.org https://hbctraining.github.io/scRNA-seq_online/ https://bioconductor.org/books/3.15/OSCA.basic/ This is only a small subset of tools available to single cell RNASeq. Read More...
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Bioinformatics
Who can you contact with questions? NCI CCR Single Cell Analysis Facility (SCAF) provides single cell support to NCI-CCR Researchers. NCI CCR Bioinformatics Training and Education Program (BTEP) provides bioinformatics training support. Contact BTEP via Read More...
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Bioinformatics
ALWAYS, ALWAYS, ALWAYS read the documentation. Use the help pane in the lower right of RStudio or the functions, help() and help.search() or ? and ?? . Check out package vignettes ( vignette() ). Check the Github site if Read More...
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Bioinformatics
Rather than relying on the above steps ( NormalizeData() , FindVariableFeatures() , and ScaleData() ), we are going to proceed with a newer method ( SCtransform ) instead. This method uses Pearson residuals for transformation, which better accounts for the overall Read More...
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Bioinformatics
In this tutorial, we are using 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 . The raw count matrices are Read More...
Web Page
Bioinformatics
The following sources inspired this content: https://www.sc-best-practices.org https://hbctraining.github.io/scRNA-seq_online/ https://bioconductor.org/books/3.15/OSCA.basic/
Web Page
Bioinformatics
Single cell RNASeq is a remarkably powerful tool for analyzing populations of cells that can be recovered from various experiments. Clustering and cell type annotation can be used to distinguish different populations with a level Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This Read More...
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Bioinformatics
Transformed data will be available in the SCT assay, which is set as the default after running sctransform. During normalization, we can also remove confounding sources of variation, for example, mitochondrial mapping percentage The glmGamPoi Read More...
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Bioinformatics
Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...
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Bioinformatics
The answer to this question will largely depend on the user. While some will be able to learn R on the go, others will need to know some amount of R programming prior to beginning Read More...
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Bioinformatics
setwd() Set working directory (equivalent to cd ) getwd() Get working directory (equivalent to pwd )
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Bioinformatics
Anything that you want assigned to memory must be assigned to an R object.
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Bioinformatics
See the attached resources on for loops apply functions purr::map conditionals .
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Bioinformatics
sessionInfo() Print version information about R, the OS and attached or loaded packages. This is useful for reporting methods for publication. Consider using the package renv to track and share exact versions of packages used Read More...
Bethesda, MD
Collaborative
Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...
Rockville, MD
Core Facility
Trans NIH Facility
The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...
Frederick, MD
Core Facility
The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...
Frederick, MD
Core Facility
The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...
Rockville, MD
Trans NIH Facility
NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...
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CREx News & Updates January 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCI ANTIBODY CHARACTERIZATION LABORATORY (ACL) The ACL specializes in rigorously validating antibodies for signaling and Read More...
Bethesda, MD
Collaborative
The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
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Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL Read More...
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Bioinformatics
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...
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Bioinformatics
10/03/2016 - The maximum number of registrations (25) allowed has been reached for this workshop. You will be put on the waitlist and informed if any cancellations do occur. You are welcome to come on the morning Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Register now for an upcoming seminar on January 22, 2025 , “Revealing Tumor-Promoting Signals in Breast Cancer Subtypes: A NIDAP Analysis of Single-Cell Data” . This one-hour talk will feature guest speaker and NIDAP developer, Josh Meyer, who will Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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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The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...
Bethesda, MD
Core Facility
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...
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Bioinformatics
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...
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Bioinformatics
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...