R/Bioconductor for Mass Spectrometry and Proteomics
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 […]
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 […]
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 […]
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 […]
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 […]
Join us virtually to learn about Cellenics, a user-friendly web application for exploring your single-cell RNAseq data. Designed with wet-lab biologists in mind, Cellenics was developed by Dr. Peter Kharchenko (HMS, […]
Python is a powerful open-source programming language. In this 3 hour, hands-on workshop, we will teach basic concepts and bioinformatics applications in Python. We will learn the Python syntax, data […]
R Basics: R is a simple programming environment that enables the effective handling of data, while providing excellent graphical support. RStudio is a tool that provides a user-friendly environment for […]
Intermediate R: This workshop will build on the content of the Introduction to R online resource, or R Basics and will provide practical exercises to practice your newly developed R skills. Hands-on […]
Aimed to motivate, explain, and demonstrate mixed effects models in biomedical research Learn how mixed effects models connect experimental design to statistical model structure Learn how to construct, run, and evaluate these models in R with lme4 and brms
Date: Monday, 05/13/2024 Time: 3:00 pm- 5:00 pm EST Location: Hybrid (Countway L1-024) Register Here This beginner workshop is an introduction to the inference and analysis of gene regulatory […]