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BSR6806 - Lecture 8 - Part 2 - Docker - Daniel Clarke - ISMMS-Spring 2024

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Avi Maayan

This lecture is a part of a 1 credit course delivered by the Ma'ayan Lab for graduate students at the Icahn School of Medicine at Mount Sinai in New York City during the Spring semester of 2024.

Course Description: The course covers computational methodologies applied to analyze data in the broad fields of bioinformatics and big data science. Topics covered include RNAseq and proteomics data analysis, Machine Learning, Python, cloud computing, data visualization, network analysis, full stack deployment, version control, Knowledge Graphs, and database programming. Students are be required to complete small programming assignments throughout the course. The course uses Jupyter Notebooks and Appyters to run most tutorials.

#bioinformatics #biology #biomedical #cellbiology #unixcommands #programming #data #datamining #datascience #jupyter #jupyternotebook #appyters #archs4 #enrichr #gsea #python #pca #tsne #umap #git #github #machinelearning #datavisualization #clustering #CPM #TPM #RPKM #FPKM #QuantileNormalization #MedianPolish #DESeq2 #LogTransformation #ZScoring #zscore #zscaler #BH #BDcorrection #FDR #bonferroni #nullhypothesis #limma #characteristicdirection #GSEA #enrichr #EnrichmentAnalysis #knowlegegraphs #neo4j #networks #biologicalnetworks #biomedicalnetworks #aws #cloudcomputing #http #https #terraform #flatcar #docker #dockercompose #github #jupyter #jupyternotebook #data #biomedical #cellbiology #gsea #enrichr

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