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Event Series Intro to Python

Intro to Python

TMEC 328

Python is a popular scripting language for scientific computing and available across all computer platforms. The course will introduce you to some of the basics of the Python language as well as some of the nuances involved with its use specific to the O2 environment. The goal is to provide users with a foundational level […]

Event Series Intro to Python

Intro to Python

TMEC 328

Python is a popular scripting language for scientific computing and available across all computer platforms. The course will introduce you to some of the basics of the Python language as well as some of the nuances involved with its use specific to the O2 environment. The goal is to provide users with a foundational level […]

Organize Your Data: Files and Spreadsheets

Data organization refers to classifying and organizing data sets to make them more useful. Once you create, gather, or start manipulating data and files, they can quickly become disorganized. To save time and prevent errors later on, you and your team should decide how you will structure folders and organize your files. Do you struggle […]

Intro to O2

TMEC 328

Intro to O2 addresses the needs of users who have very little linux experience, and are just getting started with HPC. Time will be devoted to covering linux basics, and the concepts of schedulers and jobs, and data management best practices. For questions please contact lingsheng_dong@hms.harvard.edu.

Data Documentation: Writing Better READMEs

To ensure that you understand your own data and to enable others to find, use and properly cite your data, it helps to create README files with ‘documentation’ or ‘metadata’ about the datasets you create. This session will explore the critical role documentation plays in data management and how you can ensure good documentation throughout your research.

Bulk RNA-seq with R/Bioconductor

This single-session workshop will provide biologists with practical statistical analysis skills to perform rigorous analysis of high-throughput genomic data, specifically in the context of bulk RNA-seq analyses. This workshop focuses on differential analysis; data collection, experimental design, read mapping, and count computation will NOT be covered deeply.  Participants will learn how to: Work with genomic […]