Search Results for: External Compound Libraries

Bruker AVANCE 400 and 500 MHz NMR instruments. Helium Cryoprobe technology on the 500 MHz machine for added sensitivity, especially for Carbon-13 spectra. Access to a second 500 MHz instrument with Prodigy Liquid Nitrogen-cooled cryoprobe. User Accounts can be Read More...

September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIH Center For Human Immunology, Inflammation, And Autoimmunity (CHI) CHI is a Read More...

The Antibody Engineering Program (AEP) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The program focuses on generating therapeutic antibodies by phage display technology, including human antibodies and Read More...

Cores & Facilities From centralized laboratories to collaborative resources and technologies available to CCR Investigators. NCI Cores Centralized laboratories providing broad access to cutting-edge technologies and specialized expertise. Browse NCI Cores Collaborative Resources are technologies and Read More...

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...

CREx News & Updates June 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...

CREx News & Updates April 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...

CREx News & Updates March 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIA Nonhuman Primate Core The NIA Nonhuman Primate Core supports multi-disciplinary translational aging projects for Read More...

CREx News & Updates August 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCATS Functional Genomics Laboratory (FGL) FGL is designed to help NIH Investigators use the latest Read More...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and 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...

DTP’s Natural Products Repository is the world’s largest storehouse of natural products. It houses close to >200,000 extracts from samples of more than 70,000 plants and >20,000 marine organisms collected from more than 29 countries, plus extracts Read More...

CREx News & Updates May 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...

September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

Back Services: Biophysics Facility offers MST as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes the KD determination of a Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

What is Visium FFPE v2 with CytAssist? Visium FFPE v2 is sequencing-based spatial profiling technology developed by 10x Genomics. This assay can take mouse or human tissue sections on normal glass slides as input and Read More...

The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools 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 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 Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience Read More...

CREx News & Updates September 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CCR Read More...

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...

CREx News & Updates February 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight ORS Division of Veterinary Resources (DVR) DVR is the central NIH lab animal support program Read More...

Back Services: This instrument is not user accessible.  We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor Read More...

CREx News & Updates December 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the STRIDES Initiative. VIEW STRIDES INITIATIVE NIH Cores Read More...

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...

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

CREx News & Updates October 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CPTR Read More...

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...

In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...

In this lesson, we will be using several external R packages. To utilize these, we need to first load them into our R working environment using the library command. library(ggplot2) #for plotting library(tidyr) # Read More...

To begin plotting, let's load our tidyverse library. #load libraries library(tidyverse) # Tidyverse automatically loads ggplot2 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ✔ purrr 1.0.2 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr:: Read More...

To begin plotting, let's load our tidyverse library. #load libraries library(tidyverse) # Tidyverse automatically loads ggplot2 ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.7 ✔ dplyr 1.0.9 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.0 ## ✔ readr 2.1.2 ✔ forcats 0.5.1 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats:: Read More...

There are multiple ways to combine figures using R. In this lesson, we will learn how to combine figures primarily with patchwork . Though, we will also learn some components of cowplot . To get started, load Read More...

There are multiple ways to combine figures using R. In this lesson, we will learn how to combine figures using two different R packages cowplot and patchwork , beginning with cowplot . To get started, load the Read More...

In the chart view shown above, we clicked on Malignant neoplasm of the breast, and this took us to the corresponding record in NCBI's MedGen. MedGen is NCBI's database that contains organized information Read More...

Each version of R loaded as a module includes a number of installed packages . However, you may want to install additional packages, which will by default be stored in " ~/R/%v/library where %v Read More...

R Packages can be found at: CRAN METACRAN - to search for packages Bioconductor Github Python Python Package Index (PyPI)

R Packages can be found at: CRAN METACRAN - to search for packages Bioconductor Github Python Python Package Index (PyPI)

In this lesson, we will continue to use the ggplot2 package for plotting. To use ggplot2, we first need to load it into our R work environment using the library command. library ( ggplot2 )

library(pheatmap) ## for heatmap generation library(tidyverse) ## for data wrangling library(ggplotify) ## to convert pheatmap to ggplot2 library(heatmaply) ## for constructing interactive heatmap

library(ggplot2) library(pheatmap) library(tidyverse) library(ggplotify) library(heatmaply)

library(pheatmap) ## for heatmap generation library(tidyverse) ## for data wrangling library(ggplotify) ## to convert pheatmap to ggplot2 library(heatmaply) ## for constructing interactive heatmap

04/06/2022 - Life Rafts in a Sea of Data: The Role of Librarians in Supporting Data Sharing Abstract:  The NIH has updated its policies on managing and sharing research data and will require a Data Management Read More...

R functions are saved as objects, and if we type the name of the function, we can see the value of the object (i.e., the code underlying the function). Functions are important to R 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...

09/08/2023 - This seminar will discuss how we can leverage shared data to discover signatures of human vaccination and infection responses. A key example will be work done as part of the NIH  Human Read More...

libraries syntax variables functions data types loops and conditionals

11/03/2022 - This 90-minute MicroLab will start with an inspiring conversation between a thought leader from the Cancer Moonshot and a creative visualization expert, followed by an opportunity to engage new colleagues from other fields in Read More...

01/14/2026 - During this event, Dr. Emilie Roncali, an associate professor at UC Davis, is tackling an intersection of two critical data science concepts in cancer research: theranostics and digital twins. Dr. Roncali will give you Read More...

10/16/2024 - In this webinar, attendees will learn to call MATLAB from Python and to call Python libraries from MATLAB.  In addition, they will learn how to use MATLAB’s Python integration to improve the compatibility Read More...

The Human Brain Reference (HBR) RNA sequencing data are derived from RNA extracted from 23 human brains brains are from both males and females, age ranging from 60 to 80 years The Universal Human Reference data used RNA Read More...

The Human Brain Reference (HBR) RNA sequencing data are derived from RNA extracted from 23 human brains brains are from both males and females, age ranging from 60 to 80 years The Universal Human Reference data used RNA Read More...

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

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

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

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

In Lesson 2, partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of accessing RStudio will be demonstrated. In addition, there Read More...

libraries syntax variables functions data types (dictionaries and tuples in python) loops and conditionals

A programming language is a formal language that specifies a set of instructions for a computer to perform specific tasks. It is used to write software programs and applications, and to control and manipulate computer Read More...

07/13/2023 - In Lesson 2 of Toward Reproducibility with R on Biowulf , partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of Read More...

The cowplot package provides various features that help with creating publication-quality figures, such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy Read More...

The cowplot package provides various features that help with creating publication-quality figures, such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy Read More...

A common question posed to the Bioinformatics Training and Education Program (BTEP) is “How can I learn R and Python to analyze my data?”. First, it’s important to state that learning any programming language Read More...

02/19/2026 - This session introduces NIH STRIDES and Cloud Lab resources for bioinformatics and generative AI workflows in the cloud. Participants will tour key tutorial libraries, including the STRIDES Cloud Lab GitHub repositories (AWS, GCP, Azure Read More...

01/14/2026 - Scikit-learn is a free and open-source Python library for machine learning. It is built on top of other fundamental Python libraries like NumPy, SciPy, and Matplotlib. Users will be introduced to scikit-learn and its Read More...

10/28/2025 - Intro to STRIDES and Cloud Lab Tour the tutorial libraries: Overview of STRIDES Cloud Lab GitHub (AWS/GCP/Azure notebooks) and the NIGMS GitHub. Cloud demo: Build a chatbot with grounding using a Snakemake Read More...

06/03/2025 - Thi i the fir t cla of the Python Introductory Education erie . Here, participant will learn how to acce and interact with Python, obtain an under tanding of command yntax for thi programming language, Read More...

10/23/2024 - This one-hour online training will cover tips and tricks to run your processing against large datasets more efficiently in SAS.   By the end of this training, attendees will be able Read More...

To begin plotting, we need to load our ggplot2 library. Package libraries must be loaded every time you open and use R. If you haven't yet installed the ggplot2 package on your local machine, Read More...

10/11/2023 - This session focuses on R data types and data structures. In R, more advanced libraries (code) may require data to be a particular data type or data structure to perform a function or analysis. Read More...

Trim and/or filter sequence to remove sequencing primers/adaptor and poor quality reads. Example programs: FASTX-Toolkit is a collection of command line tools for Short-Reads FASTA/ FASTQ files preprocessing.
 SeqKit is an ultrafast comprehensive Read More...

08/17/2023 - In the second class of the Python Introductory Education Series, participants will start to dive into Python. Participants will walk away with knowledge of common Python data types and structures, how to assign variables, Read More...

developed as early as 1991 high-level, popular, general-purpose programming language that has a readable and easy to learn syntax Key features: easy to read easy to learn interpreted multi-platform wide community open source libraries (> 300,000) Two Read More...

developed as early as 1991 high-level, popular, general-purpose programming language that has a readable and easy to learn syntax Key features: easy to read easy to learn interpreted multi-platform wide community open source libraries (> 300,000) Two Read More...

A programming language is a formal language that specifies a set of instructions for a computer to perform specific tasks. It's used to write software programs and applications, and to control and manipulate computer Read More...

07/13/2023 - MATLAB provides two-way integration with many programming languages such as Python, which allows for greater collaboration between investigators. This webinar will cover how to call MATLAB from Python and how to call Python libraries Read More...

To begin plotting, we need to load our ggplot2 library. Package libraries must be loaded every time you open and use R. If you haven't yet installed the ggplot2 package on your local machine, Read More...

One way of producing a heatmap is to use geom_tile in ggplot2. However, the process becomes cumbersome if we want to include a dendrogram to show clustering. To construct a heatmap and dendrogram using Read More...

10/26/2022 - The Division of Cancer Prevention is hosting the  Statistical Adjustment for Multiplicity Virtual Workshop  from  October 26-27, 2022 . Workshop Goal The goal of this workshop is to bring together medical doctors, epidemiologists, and statisticians from Read More...

The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...

06/20/2024 - Clustered heat maps are widely used for visualizing patterns in molecular profiling data. But traditional, static heat maps have significant limitations when applied to large datasets (1000s of elements per axis). Presented in this 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...

While bracket notation is useful, it is not always the most readable or easy to employ, especially for beginners. This is where dplyr comes in. The dplyr package in the tidyverse world simplifies data wrangling Read More...

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...

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...

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...

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

Can you speed up your code with parallelization? Considerations: levels of parallelization: multiprocessing vs multithreads The most common form of parallelism in R is multiprocessing. This is usually explicitly done by you or package you Read More...

Course Overview Welcome to Toward Reproducibility with R on Biowulf This course includes a series of four lessons designed for beginner to intermediate R users interested in working with R on Biowulf. The purpose of Read More...

Once we have done this, we can activate renv within our project. But, first, let's verify the location of our renv cache. R renv::paths$cache() # Check the cache location renv::init(bioconductor = "3.16& Read More...

Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...

Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...

06/13/2023 - Many cancer-related independent studies that employ bulk and single cell RNA-seq can be found in the Gene Expression Omnibus (GEO). While some studies provide aligned read files, these are processed non-uniformly. This shortcoming makes 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...

05/19/2023 - Patient-derived cancer models (PDCM) have become an essential tool in both cancer research and preclinical studies. Each model type offers unique advantages and is better suited for specific research areas: cell lines are low Read More...

In this lesson we will use two different sets of data. First, we will use data available with your base R installation, the iris data set, which is stored in object iris . These data include 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...

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...

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

11/15/2022 - This workshop, geared toward researchers and information professionals, will provide an overview of appraising and preparing research data for the purpose of data sharing through the Data Curation Network’s CURATE(D) model. During Read More...

10/19/2022 - Speaker: Ron Germain, M.D., Ph.D. NIH Distinguished Investigator NIAID, NIH Dr. Germain received his Sc.B. and Sc.M. from Brown University in 1970 and his M.D. and Ph.D. from Harvard Read More...

10/14/2022 - The call for better data and evidence for decision-making has become very real as evidenced by the Federal Data Strategy, as well as the passage of both the Foundations of  Evidence-based Policymaking Act (Evidence Read More...

/* 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...

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...

Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. 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...

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...

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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, 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 2: Getting Started with R on Biowulf Learning objectives Understand how R can be deployed on Biowulf Understand how to access and use R modules Learn to create a custom R library on Biowulf Deploying Read More...

Lesson 4: Submitting R Scripts via command line Learning Objectives Learn how to use R with less interaction Learn how to deploy sbatch R jobs, and learn about alternatives such as swarm . Learn about R job Read More...

Lesson 3: R Project Management and renv Learning objectives Discuss the importance of reproducibility Learn ways to make R analyses more reproducible Learn how to set up and organize an R project Learn how to use Read More...

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...

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...

Scatter plots and plot customization Objectives Learn to customize your ggplot with labels, axes, text annotations, and themes. Learn how to make and modify scatter plots to make fairly different overall plot representations. Load a 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...

While bracket notation is useful, it is not always the most readable or easy to employ, especially for beginners. This is where dplyr comes in. The dplyr package in the tidyverse world simplifies data wrangling 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...

Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...