Search Results for: Ad-CCL-21

01/21/2026 - Attendees will learn about the art of choosing the best machine learning models, which involves evaluating model performance on a given dataset to determine which model is best suited for the task. This process Read More...

01/21/2026 - This is the first class of the Statistical Analysis of Research Data (SARD) series offered by NCI Center for Cancer Training. The focus for this session is univariate data analysis and participants will learn Read More...

08/21/2025 - This class provides an overview of the R and Python programming languages, and how each is used in bioinformatics research. Participants will learn the advantages of each language and how to choose which is Read More...

02/21/2025 - This in-person session located at NIH Bethesda campus, building 37 room 3041D is meant to help participants in the BTEP Bioinformatics for Beginners course series with class content as well as question related to Unix Read More...

11/21/2024 - Dear FNL colleagues,   It’s time once again for our last in 2024 Biotech Connector event!!   The Frederick National Laboratory for Cancer Research together with the Frederick County Chamber of Commerce organizes the quarterly Biotech Read More...

08/21/2024 - Frederick National Laboratory Science and Technology Group: Work in Progress Seminar Series presents: "Single Cell Characterization of Antigen-Specific Responses: An Immunomics Approach" Meeting ID: 225 592 603 654  Passcode: B7sey6 

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...

To look at how these metrics correlate, we can use FeatureScatter() , which can be used to visualize feature-feature relationships and also be applied to other data stored in our Seurat object (e.g., metadata columns, Read More...

02/21/2024 - Science and Technology Group: Work in Progress Seminar Series Meeting ID: 287 867 275 591  Passcode: wrbFXg 

02/21/2024 - The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis of biomedical imaging data. Development, validation, and continuous refinement of AI tools requires easy access to Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodrí Read More...

References This course series primarily used information from QIIME2.org and the QIIME2 forum . Specifically, this course series focused on data and code from the QIIME2 Cancer Microbiome Intervention Tutorial . Special thanks goes to the Read More...

09/21/2023 - Python Programming for Scientists" is an engaging and practical training series designed to equip scientists with essential Python programming skills to enhance their research capabilities. This comprehensive series is explicitly tailored for researchers Read More...

09/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

08/21/2023 - Xena can help you answer questions like: •    Is over-expression of this gene associated with lower survival in these two cancer types? •    Is this gene differentially expressed in TCGA tumor vs GTEx normal? •    What are Read More...

08/15/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

07/20/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

06/29/2023 - Please join us for a special presentation about the Fred Hutchinson’s data journal to the cloud, including an innovative cloud platform (Cirro:  https://cirro.bio/ ) to streamline data collection, Read More...

06/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you 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...

Journal Impact Factor Number of Figures Nature Cancer 60.72 5-8 Science 47.73 6 Cancer Cell 31.74 8 Journal of Clinical Oncology 44.54 6 JAMA Oncology 31.78 5 Cell Host and Microbe 21.02 7

Prior to sending our data into the heatmap generating algorithm, it is a good idea to sacle. There are several reasons for doing this Variables in the data might not have the same units, thus Read More...

Prior to sending our data into the heatmap generating algorithm, it is a good idea to sacle. There are several reasons for doing this Variables in the data might not have the same units, thus Read More...

Journal Impact Factor Number of Figures Nature Cancer 60.72 5-8 Science 47.73 6 Cancer Cell 31.74 8 Journal of Clinical Oncology 44.54 6 JAMA Oncology 31.78 5 Cell Host and Microbe 21.02 7 Example Multi-figure panel from Zhang et al.(2022). Longitudinal single-cell RNA-seq analysis reveals stress-promoted Read More...

02/21/2023 - Please plan to attend the Earl Stadtman Investigator Program search seminar by: Stephanie Harmon, Ph.D. Molecular Imaging Branch (MIB), CCR hosted by the MIB  Dr. Harmon is a Staff Scientist in the MIB Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

01/21/2026 - This one-hour online training offers an overview of the NIH-sponsored Generalist Repository Ecosystem Initiative (GREI) (Dataverse, Dryad, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo), and the role of participating in these repositories Read More...

01/21/2026 - Alzheimer’s disease and related dementias (ADRD) remain a major health crisis with profound social and economic burdens. Innovative strategies are needed to identify genetic risk and protective factors, model disease mechanisms, Read More...

08/21/2025 - This one-hour online training provides researchers with an overview of online resources for locating research datasets, data repositories, and data publications for data sharing and re-use. Participants will learn search strategies for locating datasets Read More...

07/21/2025 - Profe or Angela Brook i a leader in the development and application of high-throughput genomic and computational approache to inve tigate gene regulation. Her re earch focu e on characterizing mutation impacting RNA expre Read More...

05/21/2025 - The programming language R i ideal for biomedical re earcher a it ha package that facilitate Next Generation equencing (NG ) data analy i . For example, bulk RNA equencing differential expre ion analy i can Read More...

03/21/2025 - Partek Flow is a point-and-click software for analyzing multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. Input options include FASTQ, BAM, or expression tables, thus enabling scientists Read More...

01/21/2025 - The "Data Visualization in R" series focuses on using ggplot and the broader tidyverse ecosystem to create insightful and customizable visualizations. It covers key principles of data visualization, from basic plots to Read More...

01/21/2025 - About the Speaker: Hari completed his PhD in Cell Biology at the University of Toronto, where he used single-molecule imaging techniques to reveal how multimolecular interactions govern early signaling events in individual immune cells. Read More...

11/21/2024 - Join this webinar to gain insights from Dr. Qi Long, who will explore how LLMs offer a promising solution to data issues, especially those stemming from incomplete information.   Dr. Long will share his team' Read More...

05/28/2024 - The symposium's goals are to explore the integration of AI in understanding and managing immunological data, foster a paradigm shift in how immunologists leverage AI to propel their research forward, and inform NIAID Read More...

04/21/2024 - Looking for an introduction to artificial intelligence (AI) or an opportunity to expand on what you already know? Attend this workshop hosted by the NIH-funded Bridge2AI CHoRUS network and the University of Florida Read More...

03/21/2024 - Context-aware AI implemented to facilitate data discovery and harmonization has significantly accelerated some of the common bottlenecks in the collaborative research process. Pilot work has shows major time and cost savings compared to current Read More...

03/19/2024 - This class is designed for those who want to extend the basics covered in the Introduction to Quarto for Scholarly Publishing to Formatting class. This class uses Quarto to render formatted citations and bibliographies Read More...

02/21/2024 - Versioning enables researchers to track changes in coding projects. This Coding Club session will introduce the versioning tool GitHub (https://github.com). At the end of this class, participants will Become familiar with options 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...

{{Sdet}} Solution{{Esum}} ggplot ( iris ) + geom_point ( aes ( Petal.Length , Petal.Width , fill = Species ), size = 2 , shape = 21 ) + coord_fixed ( ratio = 1 , ylim = c ( 0 , 2.75 ), xlim = c ( 0 , 7 )) + scale_y_continuous ( breaks = c ( 0 , 0.5 , 1 , 1.5 , 2 , 2.5 )) + scale_x_continuous ( breaks = c ( 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 )) + scale_fill_ Read More...

#Setting a theme my_theme

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim() . You will need to troubleshoot the error message and modify the function arguments as needed. {{Sdet}} Solution } library ( Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

11/21/2023 - Dear Colleagues,    This presentation will provide an overview of OpenCRAVAT.   Annotation and interpretation of cancer variants is critical to the design of personalized molecular therapies, and Read More...

09/21/2023 - This is Lesson 3 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

We see similar organization of information for other annotations. For instance, DAVID pulls biomolecular pathway information from several sources such as KEGG. Clicking on the chart view for KEGG pathways we can see what pathways Read More...

After the merged expression counts table has been created, we can proceed with differential expression analysis. Let's use DESeq2 again for this. But first, let's move counts.csv (the merged salmon expression table) Read More...

Prior to differential expression analysis, we need to generate a design.csv file that contains the samples and their corresponding treatment conditions. Note that csv stands for comma separated value so the columns in these Read More...

06/21/2023 - Biowulf is the high-performance computing cluster (HPC) at NIH. In addition to its vast compute power, Biowulf has hundreds of bioinformatics tools and databases for analyzing Next Generation Sequencing (NGS) data. This coding club Read More...

How do we ultimately get our figures to a publishable state? The bread and butter of pretty plots really falls to the additional non-data layers of our ggplot2 code. These layers will include code to Read More...

Scaling is important during cluster analysis because it reduces the influence that variables with high magnitude values will have on distance. (https://medium.com/analytics-vidhya/why-is-scaling-required-in-knn-and-k-means-8129e4d88ed7). A common method for scaling is Read More...

Play with the theme to make this a bit nicer. Change font style to "Times". Change all font sizes to 12 pt font. Bold the legend title and the axes titles. Increase the size Read More...

Load the data For these exercises, you will explore the titanic data from kaggle.com , which was downloaded from here . You will need to download the data and load into R. As this is a Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our Read More...

{{Sdet}} Solution{{Esum}} ggplot ( iris ) + geom_point ( aes ( Petal.Length , Petal.Width , fill = Species ), size = 2 , shape = 21 ) + coord_fixed ( ratio = 1 , ylim = c ( 0 , 2.75 ), xlim = c ( 0 , 7 )) + scale_y_continuous ( breaks = c ( 0 , 0.5 , 1 , 1.5 , 2 , 2.5 )) + scale_x_continuous ( breaks = c ( 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 )) + scale_fill_ Read More...

Try googling your problem or using some other search engine. rseek is an R specific search engine that searches several R related sites. If using google directly, make sure you use R to tag your Read More...

ggplot2 will automatically assign colors to the categories in our data. Colors are assigned to the fill and color aesthetics in aes() . We can change the default colors by providing an additional layer to our 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...

02/21/2024 - Dear colleagues, The Bioinformatics and Computational Biosciences Branch (BCBB) at NIAID invites you to join us for in-person hands-on workshops that will explore biovisualization techniques. Developers of UCSF ChimeraX and Cytoscape will be on Read More...

Lesson 6 Exercise Questions: ggplot2 Putting what we have learned to the test: The following questions synthesize several of the skills you have learned thus far. It may not be immediately apparent how you would go Read More...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review 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...

For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and cut of each diamond. --- R4 Read More...

Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...

As you can see from the image, there are several accessor functions to access the data from the object: assays() - access matrix-like experimental data (e.g., count data). Rows are genomic features (e.g., Read More...

Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and 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...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To better understand S4 objects as they relate to the Bioconductor core infrastructure. To learn more about a popular Bioconductor S4 Read More...

The SRA (Sequence Read Archive) at NCBI is a large, public database of DNA sequencing data. The repository holds "short reads" generated by high-throughput next-generation sequencing, usually less than 1,000 bp. We will download 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...

Let's use the tool Trimmomatic to clean up the adapters and the poor quality reads for SRR1553606. For help with Trimmomatic type trimmomatic --help at the command line. Before getting started with using trimmomatic, 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...

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. Review: * downloading data from SRA * decompressing tar files * e-utilities * fastq-dump Learn: * sra-stat * XML format * automating SRA downloads * working with comma-separated values (csv) format * 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 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...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Lesson 17 review In the previous class, we got an overview of functional and pathway analysis, which help to put RNA sequencing results into biological Read More...

Lesson 11: Merging FASTQ quality reports and data cleanup Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 10 Review In the previous lesson, we learned about the structure of the FASTQ 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...

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...

The following questions synthesize several of the skills you have learned thus far. It may not be immediately apparent how you would go about answering these questions. Remember, the R community is expansive, and there Read More...

Introduction to ggplot2 Objectives Learn how to import spreadsheet data. 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 Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify 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...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn how to work with the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify to Read More...

Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...