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Bioinformatics
08/24/2022 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m875b987cd37fafd4c24a84b7296aadb0 This webinar will demonstrate new features for creating publication ready RNA-Seq Graphs using the easy Point-and-Click Read More...
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Bioinformatics
02/28/2024 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...
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Bioinformatics
11/29/2023 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...
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Bioinformatics
09/06/2024 - This course provides an introduction to data visualization using R. Participants will learn data visualization with base R and using the R package ggplot2 to explore various types of data visualizations, including scatter plots, Read More...
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Bioinformatics
03/28/2024 - Join John McCulloch and colleagues from the NCI Laboratory of Integrative Cancer Immunology - Microbiome and Genetics Core (LICI-MGC) in an introduction to JAMS , a comprehensive software package for microbial sequencing analysis (microbiomes and Read More...
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Bioinformatics
02/06/2024 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a collection of R packages designed for data science. This class will focus on identifying the Read More...
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Bioinformatics
Outside of base R plotting, one of the most popular packages used to generate graphics in R is ggplot2 , which is associated with a family of packages collectively known as the tidyverse. GGplot2 allows the Read More...
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Bioinformatics
Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...
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Bioinformatics
03/14/2023 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a collection of R packages designed for data science. This class will focus on identifying the Read More...
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Bioinformatics
04/30/2020 - Presenter: Dr. Christian Aguilera-Sandoval, BD Description: This webinar will provide an overview of FlowJo, an integrated environment for viewing and analyzing flow cytometry data. Attendees will see how FlowJo can be used to uniformly Read More...
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Bioinformatics
The Principal Components plot below graphs the sample along the PC1 and PC2 axes, which account for the highest and second highest variances in the data, respectively. PC1 explains 67.5% of variance while PC2 explains 8.7%. It Read More...
Bethesda, MD
Trans NIH Facility
MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, 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
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
05/28/2024 - This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a collection of R packages designed for data science. This class will Read More...
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Bioinformatics
Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...
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Bioinformatics
09/28/2023 - Attend the Bridge2AI-Skills & Workforce Development (SWD) Lecture Series for 2023-24 on the Large Language Model (LLM) Module Dr. Xia “Ben” Hu is an Associate Professor at Rice University in the Department of Read More...
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Bioinformatics
Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...
Web Page
Bioinformatics
Outside of base R plotting, one of the most popular packages used to generate graphics in R is ggplot2 , which is associated with a family of packages collectively known as the tidyverse. GGplot2 allows the Read More...
Web Page
Bioinformatics
Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...
Web Page
Bioinformatics
ggplot2 is a R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
10/20/2022 - An overview of the geospatial tools that are useful for characterizing areas of the country in terms of cancer incidence, mortality, screening frequency, risk factors, socio-demographic and environmental variables relevant to cancer. The presentation Read More...
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Bioinformatics
10/05/2022 - For our next CDSL webinar we will have presentations by two CDSL fellows: Ekaterina Kazantseva and Sanna Madan. Ekaterina is a master’s student in Dr. Mikhail Kolmogorov's group and the title of Read More...
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Bioinformatics
02/01/2022 - This course will include a series of 4 lessons for scientists new to R or with limited R experience. The purpose of this course is to introduce the foundational skills necessary to begin to analyze Read More...
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Bioinformatics
Widespread popularity. Used to create informative plots quickly. Used to create high resolution plots. Used to customize many package specific plots. Over 100 related extensions Outside of base R plotting, one of the most popular packages Read More...
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Bioinformatics
Widespread popularity. Used to create informative plots quickly. Used to create high resolution plots. Used to customize many package specific plots. Over 100 related extensions ::: {.notes} Outside of base R plotting, one of the most popular Read More...
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Bioinformatics
07/25/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties Read More...
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Bioinformatics
07/24/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties 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) and Getting Started with Seurat: QC Read More...
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Bioinformatics
ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
02/08/2016 - BTEP Workshop on Data Visualization, Exploration and Analysis NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) Read More...
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Bioinformatics
06/16/2000 - We present the AMARETTO-Hub as a Knowledge Graph-based software platform that leverages Neo4j and Shiny to embed and interactively interrogate results generated by the *AMARETTO software toolbox that offers modular and complementary solutions 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
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
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
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar plots, box & whisker plots, and histograms. Read More...
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Bioinformatics
/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...
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Bioinformatics
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...
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Bioinformatics
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...
Web Page
Bioinformatics
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...