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nih-nigms-sandbox

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NIGMS / Fundamentals-of-Bioinformatics

Introduction to bioinformatics command line tools on the cloud, developed by Dartmouth College

bash aws bioinformatics genomics command-line gcp cloud-computing genome-annotation google-cloud-platform introduction genome-assembly sra nih conda-environment nih-nigms-sandbox

Updated Apr 30, 2025
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NIGMS / Introduction-to-Data-Science-for-Biology

Python-based machine learning and data science module from SFSU developed for the NIGMS Sandbox project

aws data-science machine-learning bioinformatics gcp cloud-computing decision-trees model-evaluation health-data-analysis covid-19-data nih-nigms-sandbox

Updated Mar 5, 2025
Jupyter Notebook

NIGMS / Biomedical-Imaging-Analysis-using-AI-ML-Approaches

Machine Learning module for cloud-based analyses developed as part of the NIGMS Sandbox Project

aws machine-learning computer-vision deep-learning gcp image-processing artificial-intelligence neural-networks cloud-computing data-analysis image-analysis biomedical-engineering cell-segmentation cancer-detection nih-nigms-sandbox

Updated Mar 3, 2025
Jupyter Notebook

NIGMS / Analysis-of-Biomedical-Data-for-Biomarker-Discovery

R-based module that uses machine learning in biomarker discovery

aws bioinformatics linear-regression gcp cloud-computing logistic-regression proteomics r-programming biomarker-discovery nih-nigms-sandbox biomedical-data-analysis

Updated Apr 2, 2025
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NIGMS / Proteome-Quantification

Secondary analysis of Proteomics data in R, developed by the University of Arkansas for Medical Sciences for the NIH NIGMS Sandbox project.

aws bioinformatics jupyter-notebook gcp data-visualization cloud-computing proteomics mass-spectrometry data-preprocessing r-programming differential-abundance-analysis nih-nigms-sandbox

Updated Mar 4, 2025
Jupyter Notebook

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