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.
Join us as Chanin describes the thought process that goes behind the compilation and curation of bioactivity datasets, building machine learning models and deploying it as a web app using Shiny in R. Registration Link: https://harvard.zoom.us/meeting/register/tJYrd-muqT0rGNwxrxKqNwZbo6NPCX3YndfT Bio Chanin Nantasenamat, PhD, works full-time as a Senior Developer Advocate for Streamlit Open Source at Snowflake Inc. where […]
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 […]
Do you have data? (Who doesn't?!) Start the year off right with five basic things you can do now to manage your data for future happiness. These tools and techniques […]
Pre-requisites: None
Title: CCB Seminar Series Speaker: Katharina Imkeller, PhD, Group leader Computational Immunology, University Hospital Frankfurt, Germany Topic: Unraveling Immunogenomic Diversity in Single-Cell Data When: Monday, Jan 23 @ 10:00 – 11:00 AM Eastern Time (United States and Canada)
So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? This session will highlight its key elements […]
Title: CCB Seminar Series Speaker: Trevor Manz, PhD Candidate & NSF Research Fellow, DBMI HMS Topic: Interactive, web-based visualization of high-resolution multiplexed bioimaging data Abstract: Although the rapid innovation of biological imaging brings significant scientific value, the proliferation of technologies without unification of interoperable standards has created challenges that limit the analysis and sharing of results. […]