CCB is happy to provide computational and data science resources for HMS graduate students, postdoctoral fellows, research staff, and faculty across all departments of the HMS quadrangle.
Please email us for additional information on project collaboration, tool/technology development, educational resources, or any general inquiries.
The course will cover all levels of MS data, from raw data to identification and quantitation data, up to the statistical interpretation of a typical shotgun MS experiment and will focus on hands-on tutorials. At the end of this course, the participants will be able to manipulate MS data in R and use existing packages […]
The course will cover all levels of MS data, from raw data to identification and quantitation data, up to the statistical interpretation of a typical shotgun MS experiment and will focus on hands-on tutorials. At the end of this course, the participants will be able to manipulate MS data in R and use existing packages […]
The course will cover all levels of MS data, from raw data to identification and quantitation data, up to the statistical interpretation of a typical shotgun MS experiment and will focus on hands-on tutorials. At the end of this course, the participants will be able to manipulate MS data in R and use existing packages […]
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 […]
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 2:00 PM - 5:00 PM EST Tuesday, April 11 2:00 PM - 5:00 PM EST Data Carpentry develops and teaches workshops on the fundamental data […]
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 2:00 PM - 5:00 PM EST Tuesday, April 11 2:00 PM - 5:00 PM EST Data Carpentry develops and teaches workshops on the fundamental data […]
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 […]
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 […]
So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? Drop-in this virtual information session to learn about the policy and how to successfully meet its expectations at Harvard. Experts from research support services across Harvard will be on hand to provide guidance and answer your […]
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 2:00 PM - 5:00 PM EST Tuesday, April 11 2:00 PM - 5:00 PM EST Data Carpentry develops and teaches workshops on the fundamental data […]
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 2:00 PM - 5:00 PM EST Tuesday, April 11 2:00 PM - 5:00 PM EST Data Carpentry develops and teaches workshops on the fundamental data […]
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.