Topic Programming
computer programming – any
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Cloud
Data Management
Data Resources
Data Science
Flow Cytometry
Genomics
Geospatial Analysis
Image Analysis
Microbiome
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Pharmacogenomics
Programming
Proteomics
R programming
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Spatial Transcriptomics
Statistics
Transcriptomics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
Cancer Genomics Cloud / 7 Bridges
Cancer Imaging Program (CIP)
Cancer Moonshot
CBIIT
CCR
CCR Genomics Core
CCR Single Cell Analysis and Sequencing Facilities
CDSL
Containers and Workflow Interest Group (CWIG)
Data Science
Data Science Seminar Series
Data Sharing and Reuse Seminar Series
Division of Cancer Prevention
Earl Stadtman Investigator Program
FNL Science and Technology Group
Frederick Faculty Seminar Series
Geospatial Analysis
HPC Biowulf
Laboratory of Cell Biology (LCB)
Long-read and Long-range Sequencing Scientific Interest Group
Molecular Discovery Seminar Series
Nanostring Technology
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI CCR Liver Cancer Program (LCP)
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI Genomic Data Commons
NCI Rising Scholars: Cancer Research Seminar Series
NCI SS/SC
NCI’s Single Cell Analysis Facility
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIA Artificial Intelligence Lecture Series
NIAID
NIAID Bioinformatics and Computational Biosciences Branch
NICHD
NIDA
NIDCR
NIH
NIH HPC
NIH Library
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES
NIH Training Library
NIH.AI
OD/Office of Intramural Research (OIR)
Office of Cancer Clinical Proteomics Research
Office of Extramural Research (OER)
Office of Science Policy (OSP)
Qlucore
Scientific Library at Frederick
SeqSPACE Webinar Series
SIG
Single Cell Users Group
SITC-NCI Computational IO Series
Systems Biology Interest Group
The NIH Generalist Repository Ecosystem Initiative (GREI)
The NIH Metabolomics Interest Group
William E. Paul Lecture
Past & Future Events
All
Only Past Events
Only Future Events
february
14feb10:00 am10:45 amLove Data Week 2023: Wrangle Some Data
Event Details
February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library
more
Event Details
February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library loves data and is celebrating all February (and March, too!) with data classes, resources, services, and even a new subject guide. This session will focus on data wrangling using the tidyverse package. After a short demo, participants will break into groups to work on a mini-challenge. Participants must install R, RStudio, and the tidyverse package before this session so they can follow along with the instructor and participate in the breakout rooms.
Register Here
RegisterTime
(Tuesday) 10:00 am - 10:45 am
Location
Online
Organizer
NIH Library
16feb10:00 am10:45 amLove Data Week 2023: Visualize Some Data
Event Details
February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library loves data and is celebrating
more
Event Details
February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library loves data and is celebrating all February (and March, too!) with data classes, resources, services, and even a new subject guide. This session will focus on making a plot using ggplot. ggplot is a part of the tidyverse, a collection of R packages designed for data science. After a short demo, participants will break into groups to work on a mini-challenge. Participants must install R, RStudio, and the tidyverse package before this session so they can follow along with the instructor and participate in the breakout rooms.
Register Here
RegisterTime
(Thursday) 10:00 am - 10:45 am
Location
Online
Organizer
NIH Library
march
01mar10:00 am11:00 amIntroduction to Project Management in RStudio
Event Details
This class focuses on data and project management using R and RStudio. RStudio makes it possible to work on a complete research project in a more efficient, integrated, and organized
more
Event Details
This class focuses on data and project management using R and RStudio. RStudio makes it possible to work on a complete research project in a more efficient, integrated, and organized manner. This intermediate-level class is designed to be relevant to participants from different disciplines. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.
Register Here
RegisterTime
(Wednesday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
02mar10:00 am11:00 amWorking with Git in RStudio
Event Details
This class focuses on using Git and GitHub, with RStudio. Using integrated RStudio tools, learners will have a chance to experiment with this integration and
more
Event Details
This class focuses on using Git and GitHub, with RStudio. Using integrated RStudio tools, learners will have a chance to experiment with this integration and understand its advantages for collaboration and version control. This intermediate-level class is designed to be relevant to participants from different disciplines. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class. Participants will need to download the class data before the class.
Register Here
RegisterTime
(Thursday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
03mar10:00 am11:00 amPython for Data Science: How to Get Started, What to Learn, and Why
Event Details
Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning
more
Event Details
Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Python coding, and why it is advantageous to develop these skills. The session will feature the following IDEs: Google Colaboratory: Jupyter Notebook; and Anaconda’s: Spyder, Jupyter Notebook, and JupyterLab. It will also provide an overview of programming constructs needed to learn Python. Finally, this class will demonstrate why these skills can boost productivity, rigor, and transparency in reporting research findings.
Register Here
RegisterTime
(Friday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
07mar10:00 am11:00 amReproducibility in RStudio: Basic Markdown
Event Details
This class is designed for those who want to learn the basic of R Markdown and apply those skills in Quarto. Quarto is an open-source
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Event Details
This class is designed for those who want to learn the basic of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming language support to create dynamic and static documents, books, presentations, blogs, and other online resources. In this intermediate-level class participants will learn the basics of creating markdown documents. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.
Register Here
RegisterTime
(Tuesday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
09mar10:00 am11:00 amReproducibility in RStudio: Advanced Markdown
Event Details
This class is designed for those who want to extend the basics of R Markdown and apply those skills in Quarto. Quarto is an open-source
more
Event Details
This class is designed for those who want to extend the basics of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming language support to create dynamic and static documents, books, presentations, blogs, and other online resources. In this intermediate-level class, participants will learn how to render documents in multiple format, and format citations and bibliographies using Zotero. Zotero is a free, easy-to-use tool to help collect, organize, annotate, cite, and share research. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.
Register Here
RegisterTime
(Thursday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
14mar1:00 pm2:00 pmIntroduction to Data Visualization in R: ggplot
Event Details
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
more
Event Details
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 appropriate packages for plotting, defining plot aesthetics, and demonstrating how to add layers to ggplot graphs. Participants are encouraged to install R, RStudio, and the tidyverse package, before the class.
Register Here
RegisterTime
(Tuesday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library
16mar1:00 pm2:00 pmIntroduction to Data Visualization in R: Customization in ggplot
Event Details
This advanced class provides an overview of options for customizing a ggplot graph. This class will focus on methods for creating small multiples, options for customizing a graph, and how
more
Event Details
This advanced class provides an overview of options for customizing a ggplot graph. This class will focus on methods for creating small multiples, options for customizing a graph, and how to apply ggplot themes. Participants are encouraged to install R, RStudio, and the tidyverse package, before the class.
Register Here
RegisterTime
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library