Events

Introduction to the command-line interface

Bioinformatics requires computational resources that go beyond what your laptop has available. To access high performance computing resources, users need to have a working knowledge of the command line interface (CLI - also referred to as UNIX, bash, shell). Are you planning to analyze high-throughput sequencing data? Are you looking to perform computational tasks more efficiently? […]

$50

HMS Town Hall- AI for Protein Structure Prediction

Gordon Hall 106, Waterhouse Conference Room 25 Shattuck Street, Boston, MA, United States

The Center for Computational Biomedicine (CCB) is hosting a town hall to discuss recent developments in artificial intelligence for protein structure prediction and its applications in biology and medicine.   If you were able to attend, please share your feedback by submitting a survey.   Recording now available!   Topics Missense variant effect prediction with […]

Event Series R/Stats Office Hours

R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or […]

CCB Seminar Series: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors

Speaker:Jeremy Muhlich Topic: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors When: Monday, March 11, 2024, 10 AM - 11 AM ET Where: Gordon Hall, 106 Waterhouse Conference RoomTime (Harvard ID required) Abstract: Spatial 'omics has emerged as a breakthrough technology for understanding the types and […]

Event Series R/Stats Office Hours

R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]

Deep Generative Models for the analysis of Large scale multimodal single-cell data.

Location: In-Person at Countway L1-032 (Please note, New Location for this week and the New Zoom Link) Zoom, https://harvard.zoom.us/j/92093238424?pwd=eEdJSjA2WEczL1NvdnN0MysyM1JoQT09 Add to Calendar: https://drive.google.com/file/d/1E2iIsla_TzdTzS_3YLcj6gr-DHO-KP7v/view?usp=sharing   Speaker: Mariana Gabitto, PhD   Abstract: […]

Event Series R/Stats Office Hours

R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]

Event Series R/Stats Office Hours

R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]

Interactive Workshop: Deep Learning Environments

CCB is excited to announce an upcoming interactive workshop on Deep Learning Environments led by Phil Bowsher, the Director of Life Sciences and Healthcare at Posit (formerly RStudio). Registration is […]

Event Series R/Stats Office Hours

CANCELLED R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

Office hours CANCELLED for Wednesday, April 3.   CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS […]

Event Series R/Stats Office Hours

R/Stats Office Hours

Countway Library 10 Shattuck Street, Boston, MA, United States

CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]