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.
Title: CCB Seminar Series Speaker: Jeremy Manning, PhD, Assistant Professor of Psychological & Brain Sciences, Dartmouth College Topic: Geometric approaches to understanding the neural basis of human thought Links to […]
Prerequisites? This is one of our basic workshops, and has NO prerequisites and no prior programming experience is required.
A combination of tutorials and hands-on exercises (you will need a laptop with a decent size screen and admin privileges). Additional details about this course are listed below. Format: In-person. Requirements: None, except a laptop and interest in learning some bioimage analysis. Scope: introduction to digital image analysis, w. focus on bio-images enhancing images […]
Have you coded before or know some coding basics, but aren’t sure how to apply those skills to real research? Are you interested in applying advanced bioinformatics pipelines? Do you want […]
Prerequisites? This is one of our basic workshops, and has NO prerequisites and no prior programming experience is required.
Introduction to R Workshop organized by the CCB with support from the Harvard Chan Bioinformatics Core. This is an asynchronous workshop with synchronous support which will introduce participants to using R and RStudio. R is a simple programming environment that enables the effective handling of data, while providing excellent graphical support. RStudio is a tool […]
Title: CCB Seminar Series Speaker: Dr. Matthew Crowson, MD MPA MASc FRCSC Assistant Professor, Investigator, Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear Topic: Computer Vision for Irritable […]
Monthly conversation space for researchers to discuss issues related to data sharing and reuse. You can choose to attend one or more of the following sessions. September 8: Digitizing your […]
Python environments and packages Demystifying python environment setup, and tips for frustration-free reproducibility in python workflows Presented by Talley Lambert Monday November 14 2022, 1-4pm In person on the HMS Longwood Campus […]
Title: CCB Seminar Series Speaker: Faisal Mahmood, PhD, Assistant Professor, Pathology, Harvard Medical School Affiliation: Division of Computational Pathology, Brigham and Women’s Hospital; Data Science Program, Dana-Farber/Harvard Cancer Center; Cancer […]
Have you coded before or know some coding basics, but aren’t sure how to apply those skills to real research? Are you interested in applying advanced bioinformatics pipelines? Do you want […]
Prerequisite: Introduction to Shell
Title: CCB Seminar Series Speaker: Jeffrey Moffitt, PhD, Assistant Professor, Department of Microbiology, HMS Topic: Building tissues atlases with MERFISH: The new opportunities and challenges of image-based single-cell transcriptomics When: […]
A 2-page Data Management Plan (DMP) will be required as part of the new NIH Data Management & Sharing Policy. The Plan will set you up for long-term research success. This virtual workshop will get you started with the DMPTool and show how you can easily create a DMP to comply with the new NIH Data Management […]
Have you coded before or know some coding basics, but aren’t sure how to apply those skills to real research? Are you interested in applying advanced bioinformatics pipelines? Do you want to create publication-quality analyses and figures? If you answered yes to any of these questions, then the Data Analysis Club can help you work towards […]
Prerequisites? This is one of our advanced workshops, and requires registrants to have attended the following Basic workshop offered by our training team within the last 6-8 months: Introduction to R Click here for more information on workshop.
In this short course, Todd Ogden, PhD, Columbia University, will discuss incorporating functional data into statistical models. Functional data is all around us. Vast quantities of data are routinely gathered […]