NIH Library
Events by this organizer
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 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
january
05jan1:00 pm2:00 pmVisualizing Relationships in ggplotoffered by the NIH Library
Event Details
This class provides a basic overview of the methods used to visualize the association among two or more quantitative variables. This class will focus on scatterplots, scatterplot matrix, and visualizing paired
more
Event Details
This class provides a basic overview of the methods used to visualize the association among two or more quantitative variables. This class will focus on scatterplots, scatterplot matrix, and visualizing paired data. Participants are expected to have taken the Introduction to Data Visualization in R: ggplot class. Participants are encouraged to install R, RStudio, and the tidyverse package, before the webinar so that they can follow along with the instructor.
Register Here
RegisterTime
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library
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
(Tuesday) 11:00 am - 12:00 pm
Location
Online
Organizer
NIH Library
18jan11:00 am12:00 pmIntroduction to R and RStudiooffered by the NIH Library
Event Details
This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming
more
Event Details
This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is a programming language and open source environment for statistical computing and graphics. The R class series is a comprehensive collection of training sessions offered by the NIH Library Data Services and Bioinformatics programs that is designed to teach non-programmers how to write modular code and to introduce best practices for using R for data analysis and data visualization. Each class uses both evidence-based best practices for programming and practical hands-on lessons.
By the end of this class, students should be able to: list reasons for using R; describe the purpose of the RStudio Script, Console, Environment, and Plots panes; describe the various methods for finding help on R and RStudio; organize files and directories for a set of analyses as an R Project; define the following terms as they relate to R: object, assign, comment, call, function, and arguments; and assign values to objects in R.
Students are encouraged to install R and RStudio before the class so that they can follow along with the instructor. Please bring your laptop with R and RStudio installed.
Register Here
RegisterTime
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
NIH Library
25jan11:00 am12:00 pmData Types in R and RStudiooffered by the NIH Library
Event Details
This one-hour session builds on the Introduction to R & RStudio class. The session begins by introducing and identifying different categories of data. Participants will examine data types, create vectors,
Event Details
This one-hour session builds on the Introduction to R & RStudio class. The session begins by introducing and identifying different categories of data. Participants will examine data types, create vectors, and assign values to vectors. They will also learn how to import data into RStudio, and examine those data frames for further cleaning, analysis and visualization. Participants will learn the differences between numeric, character, and logical data and how to change data types in R. They will also be able to create subsets and export project data for future use.
Register Here
RegisterTime
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
NIH Library
26jan1:00 pm2:00 pmData Management and Sharing: Part 1
Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate
more
Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. Part 1 of this training will cover understanding research data, how to manage research data, and how to work with data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 2 of this class.
Register Here
RegisterTime
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library
27jan1:00 pm2:00 pmData Management and Sharing: Part 2
Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate
more
Event Details
This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. By the end of this course, participants will have an understanding of data management best practices, data management tools, and resources that enable data sharing.
This is an introductory two-part course for those who want to learn about research data management and sharing, or for those who are interested in a refresher. During Part 2 of this training, participants will learn about sharing and archiving data. Audience: Researchers, fellows, post-docs, and trainees. You must register separately for Part 1 of this class.
Register Here
RegisterTime
(Friday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library
february
23feb10:00 am11:00 amCoding Macros in SAS
Event Details
Macros are ways to use code to substitute in a value, and using macros makes a code in SAS easier to read, easier to edit, less prone to errors, and
Event Details
Macros are ways to use code to substitute in a value, and using macros makes a code in SAS easier to read, easier to edit, less prone to errors, and often allows it to run more efficiently. This intermediate class will provide an overview of what is a macro and how macros work in SAS, including the macro facility. Examples of macro code will be made available to class participants for modification and later use.
Register Here
RegisterTime
(Thursday) 10:00 am - 11:00 am
Location
Online
Organizer
NIH Library
27feb1:00 pm2:00 pmData Wrangling in R: Part 1offered by the NIH Library
Event Details
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour
Event Details
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will introduce the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions select, filter, pipes, mutate, head, is.na, and export. Learning these functions will enable users to have well formatted data frames for future clean and consistent analysis and visualizations.
Register Here
RegisterTime
(Monday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library
28feb1:00 pm2:00 pmData Wrangling in R: Part 2offered by the NIH Library
Event Details
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour
more
Event Details
Data Wrangling is another class in the NIH Library Introduction to R and RStudio Series. A basic understanding of using R and RStudio to manage data is expected. This one-hour class will build on the introduction provided in Data Wrangling Part 1 to further explore the R tidyverse package and how to use it to manipulate, analyze and export data. This class will explore options for using the tidyverse functions group_by, summarize, count, arrange, pivot_wider, pivot_longer, and export. Learning these functions will enable users to have well formatted data frames for future clean and consistent analysis and visualizations.
Register Here
RegisterTime
(Tuesday) 1:00 pm - 2:00 pm
Location
Online
Organizer
NIH Library