Brings bulk and pseudobulk transcriptomics to the tidyverse
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Updated
May 16, 2024 - R
Brings bulk and pseudobulk transcriptomics to the tidyverse
This tutorial is created for educational purpose
Probabilistic outlier identification for bulk RNA sequencing data
RNA sequencing processing and analysis to find differential expression
Various tutorials on how to analyse transcriptomic data.
Config files for my GitHub profile.
Statistical Analysis of RNA-Seq Tools
Generate HTML report for a set of genomic regions or DESeq2/edgeR results
Some of the analytical processes and tools we use to provide rigorous and actionable results to our clients.
Analyses combining ATAC-seq, RRBS, and RNA-seq data for purple urchins
Perform RNA-seq data analysis with edgeR package of bioconductor
Transcriptome Analysis of Heat and Drought-Stressed Wheat
Rstudio files created during my internship at IAB. Internship supervised by Florent Chuffart.
Snakemake workflow for Bulk RNASeq at both genome level and transcripts level.
Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
Galaxy wrappers for SARTools (Statistical Analysis of RNA-Seq Tools)
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