Name: Colby T. Ford
Type: User
Company: @tuplexyz, @AmissaInc, @UNCC
Bio: I'm a computational biologist and cloud architect who works to scale bioinformatics, genomics, and AI workloads in the cloud.
Location: Charlotte, NC
Blog: www.colbyford.com
Colby T. Ford's Projects
Examples for using the Azure Machine Learning Service R SDK
Example Code for Integrating Apple Sign in within Shiny Applications
Running AlphaFold2 (from ColabFold) in Azure Machine Learning
Custom AKS Docker Images for Azure ML
An Integrated Phylogeographic Analysis of the Bantu Migration
Bioinformatics images for the Microsoft Dev Box service
Power BI resources for reading and visualizing bioinformatics and genomics files
Repository for Single Cell Signaling in Breast Cancer DREAM Challenge 2019 Machine Learning Submissions
Docker image for the C-QUARK ab initio protein structure prediction software from the U. Mich Zhang Lab.
Process Common Crawl data with Python and Spark
Personal profile website for Colby T. Ford, Ph.D.
Deploy OHIF Viewer on Azure and Configure it to work with Azure Health Dicom service
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
How to Deploy Databricks Dolly v2 on Azure Functions
UNCC DSBA5122: Visual Analytics (Fall 2019)
Course Materials for the DSBA 6190 - Cloud Computing for Data Analysis Course (Spring 2023)
Learn the basics of using Git for managing projects, tracking changes in code, and collaborating with other coders.
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Docker image for the EquiDock rigid protein docking system.
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Companion code repository for the "Genomics in the Azure Cloud" book
Genetic variations of Plasmodium falciparum circumsporozoite protein and the impact on interactions with human immunoproteins and malaria vaccine efficacy - By Dieng and Ford et al.