Introduction to Bioinformatics Summer Series
When: June 13, 2023 - July 26, 2023Share
About this Course
A series of 6 stand-alone classes to learn about bioinformatics. Will be held on Tuesdays at 1 PM in June and July. You can attend any class, just one class, or all classes.
- Introduction to Bioinformatics Resources at NCI
- Central Dogma of Molecular Biology: Analyzing DNA, RNA, and Proteins
- Keeping your Data FAIR: Organizing, Managing, and Sharing your Data
- Introduction to High Performance Computing at NIH: Biowulf
- Introduction to R and Python Programming Languages
- Managing Bioinformatics Projects with Jupyter Notebook
Classes will be recorded and made available within 48 hours of the event on the BTEP Video Archive https://bioinformatics.ccr.cancer.gov/btep/btep-video-archive-of-past-classes/
Course materials: https://bioinformatics.ccr.cancer.gov/docs/intro-to-bioinformatics-ss2023/
Description
In this class, attendees will be introduced to the different bioinformatics resources available to them at NCI. This includes:
(1) Bioinformatics Training Classes and Events
(2) Online Learning Platforms Licenses (Coursera and Dataquest)
(3) Using the NIH High Performance Compute Cluster Biowulf
(4) Next-Gen Sequencing software purchased by the Office of Science Technology and Resources (OSTR)
(5)Available Cloud Resources
In this class, attendees will be introduced to the different bioinformatics resources available to them at NCI. This includes:
(1) Bioinformatics Training Classes and Events
(2) Online Learning Platforms Licenses (Coursera and Dataquest)
(3) Using the NIH High Performance Compute Cluster Biowulf
(4) Next-Gen Sequencing software purchased by the Office of Science Technology and Resources (OSTR)
(5)Available Cloud Resources
Details
Where
Online WebinarDescription
Participants will learn about FAIR principles (findability, accessibility, interoperability, and reusability) and how they apply to scientific data. Given the NIH Data Sharing Policy for intramural scientists, methods for organizing, managing, and sharing data in bioinformatics projects will be discussed.
Participants will learn about FAIR principles (findability, accessibility, interoperability, and reusability) and how they apply to scientific data. Given the NIH Data Sharing Policy for intramural scientists, methods for organizing, managing, and sharing data in bioinformatics projects will be discussed.
Details
Where
Online WebinarDescription
Starting with the classic Central Dogma of Molecular Biology, we will look at how each of the components (DNA, RNA, protein) is measured and analyzed. Next-Gen Sequencing (NGS) techniques, analyses tools available, and some history of how it all started with the Human Genome Project will be discussed.
Starting with the classic Central Dogma of Molecular Biology, we will look at how each of the components (DNA, RNA, protein) is measured and analyzed. Next-Gen Sequencing (NGS) techniques, analyses tools available, and some history of how it all started with the Human Genome Project will be discussed.
Details
Where
Online WebinarDescription
Attendees will learn about high performance computing (HPC) with the NIH cluster Biowulf. This resource contains hundreds of open source bioinformatics tools and biological databases. Participants will understand why it's important to be able to work on an HPC cluster for Next-Gen Sequencing data analyses.
Attendees will learn about high performance computing (HPC) with the NIH cluster Biowulf. This resource contains hundreds of open source bioinformatics tools and biological databases. Participants will understand why it's important to be able to work on an HPC cluster for Next-Gen Sequencing data analyses.
Details
Where
Online WebinarDescription
In this class, participants will learn about the R and Python programming languages, and how each is used in bioinformatics research. The advantages of each language will be discussed, and how to choose which is most applicable to your data analyses. Learning resources for beginners will be provided and questions answered.
In this class, participants will learn about the R and Python programming languages, and how each is used in bioinformatics research. The advantages of each language will be discussed, and how to choose which is most applicable to your data analyses. Learning resources for beginners will be provided and questions answered.
Details
Where
Online WebinarDescription
Participants will learn how Jupyter Lab Notebooks can be used to organize, manage, and share their bioinformatics analyses projects. The instructor will demonstrate how to install, launch, and interact with Jupyter Lab Notebooks. This will include managing code, data, and visualizations, which are kept all in one place within the Notebook. A great class for those starting a new bioinformatics project.
Participants will learn how Jupyter Lab Notebooks can be used to organize, manage, and share their bioinformatics analyses projects. The instructor will demonstrate how to install, launch, and interact with Jupyter Lab Notebooks. This will include managing code, data, and visualizations, which are kept all in one place within the Notebook. A great class for those starting a new bioinformatics project.