Overview to Genomics Workshop Scalable Computational Methods
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High-throughput technologies, and in particular next-generation sequencing (NGS), have been revolutionizing biomedical ... Dr. Kushal Suryamohan provides an overview of our framework for Related papers: Ernst, J., & Kellis, M. (2010). Discovery and characterization of chromatin states for systematic annotation of the ... Steven Salzberg, Bloomberg Distinguished Professor of Biomedical Engineering at Johns Hopkins, is pioneering the field of ... Revolutionizing Spatial Transcriptomics: New Imaging-Free Hail is an open-source library that provides accessible interfaces for exploring
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A Scalable and flexible framework for analyzing large scale genomic data - MedGenome Webinar Series
Jason Ernst | Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2023
Steven Salzberg – Pioneering Computational Genomics
Jason Ernst | Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2024
Jason Ernst | A Tutorial on Computational Methods for Modeling and Analyzing ... | CGSI 2022
Scalable Spatial Transcriptomics Through Computational Array Reconstruction
BroadE: Hail - Introduction to Hail as a tool for Scalable Genomic Analysis
Jason Ernst | Computational methods for modeling and analyzing epigenomic data | CGSI 2025
David Koslicki: "The CAMI Project: Assessment of computational techniques in metagenomics"
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Last Updated: June 7, 2026
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