Events by this organizer

CBIIT provides two managed cloud environments for NCI. Cloud One is a managed Amazon Web Services platform and in full production with FISMA Moderate ATO. Cloud Two is a managed Google Cloud Platform with FISMA Moderate ATO in progress. It is expected to be ready in Spring 2021.

Attend the January NCI IT Engagement Seminar Series to learn more about these NCI-managed cloud environments.

During this presentation, CBIIT’s IT Engineering Program Lead Sue Pan will cover the following discussion points :
•Cloud computing compared with on-premises computing models: Differences and advantages
•Intended usage of Cloud One and Cloud Two
•NIH STRIDES Initiative
•NCI IT cloud security models
•NCI IT cloud computing support services

Thank you,
Center for Biomedical Informatics and Information Technology (CBIIT)
National Cancer Institute

Register now and join us via Webex.

Speaker:
Noémie Elhadad, Ph.D.
Columbia University

In this talk, Dr. Elhadad will discuss how artificial intelligence and informatics improve patient-centered healthcare. She will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care, and how “mHealth” tools can be used to help patients understand and manage healthcare decisions.

About the Data Science Seminar Series

The National Cancer Institute’s (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Data Science Seminar Series presents talks from innovators in the data science and cancer research communities.
To view upcoming speakers or view recordings for past presentations, visit Data Science Seminar Series.  Follow the conversation @NCIDataSci and #DataSciSeminar. For more information about NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) visit: datascience.cancer.gov

Registration:
https://cbiit.webex.com/cbiit/onstage/g.php?MTID=ec7d9bf4c9b10ea1a5dd4ba4383bfede7

Although much MacVector functionality is targeted at DNA analysis, a large number of features also exist for creating, annotating and analyzing protein sequences. This workshop will cover this functionality in depth. Topics include translating DNA into protein sequences, reverse-translating proteins into DNA and optimizing codon usage, analyzing protein sequences for active sites, and other steps in the analysis process. Dr. Kendal also will demonstrate search functions, including BLAST and local searches, and offer tips for extracting subsets of NGS reads that encode a specific protein.

Speaker: Dr. Kevin Kendal, Field Application Scientist

For questions, contact Dr. Daoud Meerzaman.

Registration:
https://cbiit.webex.com/cbiit/onstage/g.php?MTID=eb967c2ec79b87a5972c6b2ee2fc13281

Partek Flow software aids in the analysis of next generation sequencing data: RNA, small RNA, and DNA. Uchenna Emechebe, a field application scientist at Partek, will show how to use the application to conduct Single Cell RNA-Seq data analysis, including how to import data, conduct quality checks, filter and normalize data, conduct cluster analyses, and visualize the results.

Agenda:
Presentation: Partek Flow Single Cell Solution Overview
Live Demo: Single Cell RNA-Seq Data Analysis and Visualization in Partek Flow
Search Portal and Public Data Repository for Single Cell analysis
Data Import
QA/QC
Data Filter and Normalization
Clustering Analysis
Dimension Reduction and Visualize in 2/3 D
Differential Expression

Speaker: Uchenna Emechebe, Field Application Scientist at Partek

For questions, contact Dr. Daoud Meerzaman