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R for Multi Omics Data Analysis - 2025

Video Recoding - Session wise

Course Summary

Schedule :

DateDayDescription
21 February 2025FridayInstalling R, RStudio, and essential packages (tidyverse, ggplot2)
22 February 2025SaturdayData types, functions, and control structures and loops in R
23 February 2025SundayReading and cleaning omics data (CSV, TSV, Excel)
24 February 2025MondayOverview of omics data types (genomics, transcriptomics, proteomics, metabolomics)
25 February 2025TuesdayIntroduction to Command Line
26 February 2025WednesdayAdvance Linux/Unix Commands
27 February 2025ThursdayOFF
28 February 2025FridayQC and normalization for RNA-seq data
1 March 2025SaturdayUsing DESeq2 and edgeR for RNA-seq analysis, Creating heatmaps, volcano plots, and PCA plots
2 March 2025SundayLC-MS/MS Raw Spectra Processing, Functional Analysis of Global Metabolomics & Statistical Analysis
3 March 2025MondayEnrichment & Pathway Analysis of Targeted Metabolomics
4 March 2025TuesdayBiomarker, Joint Pathway and Functional Meta-Analysis
5 March 2025WednesdayCorrelation of Metabolomics with Transcriptomic dataset
6 March 2025ThursdayOverview of supervised and unsupervised machine learning methods
7 March 2025FridayData Preprocessing and Cleaning
8 March 2025SaturdayOFF
9 March 2025SundayOFF
10 March 2025MondayLinear regression and logistic regression in R
11 March 2025TuesdayClustering
12 March 2025WednesdaySingle ‘omics supervised multivariate analysis
13 March 2025ThursdaySingle ‘omics supervised multivariate analysis
14 March 2025FridayN-integration across multiple ‘omics data sets
15 March 2025SaturdayN-integration across multiple ‘omics data sets
16 March 2025SundayP-integration across independent data sets


Course Curriculum

Decode Life

Decode life is a group of enthusiastic researchers, who are aimed to (de)code the life sciences. Our goal is to create a self sustained system through cross learning and joining hands together to address the problems that matter the most. With the availability of large data, Bioinformatics has become an integral part for almost every biomedical lab. We wanted to fill in the niche and train the next generation of data scientists.

John Smith

Developer

Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!

Course Pricing

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