Introduction to Bioinformatics Summer Series 2025
When: August 7, 2025 - September 4, 2025Share
About this Course
The BTEP Bioinformatics Summer Series is five classes that introduce novices and new NIH scientists the essentials for getting started with bioinformatics analysis of next generation sequencing (NGS) data. Topics include a broad survey of bioinformatics resources available to all scientists at NIH, an overview of the NIH High Performance Computing System (Biowulf), a discussion and comparison between programming languages R and Python, and tips for making data FAIR and data analyses reproducible. Register for each class individually by clicking on its respective link below. These classes are open to NIH audience only.
- August 7, 2025 (Thursday, 1 PM – 2 PM): Introduction to Bioinformatics Resources will inform participants of software (commercial and open-source), self-learning tools, and resources for bioinformatics and data science.
- August 14, 2025 (Thursday, 1 PM – 2 PM): Introduction to Unix and Biowulf will serve as a crash course for using the NIH Unix-based High Performance Computing system (Biowulf). Participants will learn to navigate through directories, work with files, and use bioinformatics applications that are installed on the system.
- August 21, 2025 (Thursday, 1 PM – 2 PM): Overview of R and Python will discuss the benefits that these two popular programming languages can bring to a bioinformatics project. After this session, participants should be able to decide which language to use for a given data analysis.
- August 28, 2025 (Thursday, 1 PM – 2 PM): Keeping Data Fair will provide best practices for organizing, managing, and sharing of data so they become findable, accessible, interoperable, and reusable (FAIR).
- September 4, 2025 (Thursday, 1 PM – 2 PM): Managing Data Analysis Projects using Jupyter Lab. This class will introduce participants to Jupyter Lab, a tool for maintaining data, code, output, and description of analyses all in one place, which facilitates transparency and reproducibility of data analysis.
Description
This class benefits new staff or bioinformatics newcomers and will introduce educational resources, software (i.e. Unix, Biowulf, R, Python, commercial software, and cloud), and support communities for bioinformatics at NIH. Attendance is restricted to NIH staff. This class is a part of the BTEP Introduction to Bioinformatics Summer Series. Meeting link will be provided upon approval of registration.
Registration: https://cbiit.webex.com/weblink/register/rc4244992943cae758d346Read More
This class benefits new staff or bioinformatics newcomers and will introduce educational resources, software (i.e. Unix, Biowulf, R, Python, commercial software, and cloud), and support communities for bioinformatics at NIH. Attendance is restricted to NIH staff. This class is a part of the BTEP Introduction to Bioinformatics Summer Series. Meeting link will be provided upon approval of registration.
Registration: https://cbiit.webex.com/weblink/register/rc4244992943cae758d346bb5ce6004ed
Details
When
Thu, Aug 07, 2025 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Biowulf isthe NIH Unix-based high-performance computer (HPC). Unix is a command driven computer operating system. Biowulf has more computational power than the average laptop, which makes it ideal for analyzing Next Generation Sequencing (NGS) data. This class enables participants to start working on Biowulf by introducing essential Unix commands. A Biowulf account is not required for participation, however Biowulf staff will provide 40 temporary student accounts for those who wish to follow along. Participants can Read More
Biowulf isthe NIH Unix-based high-performance computer (HPC). Unix is a command driven computer operating system. Biowulf has more computational power than the average laptop, which makes it ideal for analyzing Next Generation Sequencing (NGS) data. This class enables participants to start working on Biowulf by introducing essential Unix commands. A Biowulf account is not required for participation, however Biowulf staff will provide 40 temporary student accounts for those who wish to follow along. Participants can also use personal Biowulf account or obtain one at https://hpc.nih.gov/docs/accounts.html. Attendance is restricted to NIH staff and meeting link will be provided upon approval of registration. This session is a part of the BTEP Introduction to Bioinformatics Summer Series.
Registration: https://cbiit.webex.com/weblink/register/r33551db0a06dbcf7c6aeae6ff52f852f
Details
When
Thu, Aug 14, 2025 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
This class provides an overview of the R and Python programming languages, and how each is used in bioinformatics research. Participants will learn the advantages of each language and how to choose which is most applicable to a data analyses. Learning resources for beginners will be provided and questions answered. Attendance is restricted to NIH staff. This class is not hands-on. Meeting link will be provided upon approval of registration.
Read More
This class provides an overview of the R and Python programming languages, and how each is used in bioinformatics research. Participants will learn the advantages of each language and how to choose which is most applicable to a data analyses. Learning resources for beginners will be provided and questions answered. Attendance is restricted to NIH staff. This class is not hands-on. Meeting link will be provided upon approval of registration.
Registration: https://cbiit.webex.com/weblink/register/rd1761836833d5b5790d978418e4eecf2
Details
When
Thu, Aug 21, 2025 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
This class will address best practices for managing, organizing, and sharing data so they become Findable, Accessible, Interoperable, and Reusable (FAIR), which is important for advancing science as well as meeting data sharing policy requirements. Participants will learn about recommended file structures and formats, storage methods (local versus cloud), and guidelines for sharing to make data abide by the FAIR principals. Attendance is restricted to NIH staff. Meeting link will be provided upon registration Read More
This class will address best practices for managing, organizing, and sharing data so they become Findable, Accessible, Interoperable, and Reusable (FAIR), which is important for advancing science as well as meeting data sharing policy requirements. Participants will learn about recommended file structures and formats, storage methods (local versus cloud), and guidelines for sharing to make data abide by the FAIR principals. Attendance is restricted to NIH staff. Meeting link will be provided upon registration approval. This class is a part of the BTEP Introduction to Bioinformatics summer series.
Registration: https://cbiit.webex.com/weblink/register/rab14b78668a94345b80ddd139b3f6e88
Details
When
Thu, Aug 28, 2025 - 1:00 pm - 2:00 pmWhere
Online WebinarDescription
Jupyter Lab is a platform to organize code and analysis steps in one place, allowing users to easily keep track of all steps taken in an analysis, thereby facilitating collaboration and research presentation. This class is a demo and not hands-on. Participants will learn how to access Jupyter Lab and steps involved in producing reproducible analysis reports using this software. Experience using or installation of Jupyter Lab is not needed to participate. Attendance is Read More
Jupyter Lab is a platform to organize code and analysis steps in one place, allowing users to easily keep track of all steps taken in an analysis, thereby facilitating collaboration and research presentation. This class is a demo and not hands-on. Participants will learn how to access Jupyter Lab and steps involved in producing reproducible analysis reports using this software. Experience using or installation of Jupyter Lab is not needed to participate. Attendance is restricted to NIH staff. Meeting link will be provided upon approval of registration. This session is a part of the BTEP Introduction to Bioinformatics Summer Series.
Registration: https://cbiit.webex.com/weblink/register/re16ac11f4d295ca6f9c6cd061790316c