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.
A 2-page Data Management Plan (DMP) is now required as part of the new NIH Data Management & Sharing Policy. The Plan will set you up for long-term research success. The DMPTool is web-based and provides basic templates that can help you construct data management plans. The DMPTool provides you with templates, funder mandates, institutional […]
This year’s annual symposium will focus on recent efforts by quantitative scientists to better understand the complex mechanisms that contribute to health disparities and to develop interventions to reduce or eliminate these disparities. Speakers from Harvard T.H. Chan School of Public Health, Johns Hopkins, Brown University, Drexel University, and the National Institutes of Health will […]
During this online hands-on workshop, participants will learn: • How to design a bulk RNA-seq experiment • The steps involved in taking raw RNA-sequencing data (Illumina) and generating a count (gene expression) matrix • How to compute and assess QC metrics at every step in the workflow • How to automate a simple workflow on […]
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 […]
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 […]
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 […]