Pipeline for RNA-seq analysis
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Updated
Oct 14, 2020 - Python
Pipeline for RNA-seq analysis
Basic script for RNA-seq analysis with DESeq2
Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
Automated DE analysis by DESeq2
Neste projeto descrevo diferentes parâmetros e opções para a execução de programas necessários à análise de Rna-Seq, além de incluir informações e opniões que possam facilitar a escolha da melhor opção que se adque à análise em questão.
Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.
Bioinformatic differential expression analyses pipeline to investigate biomarkers in Parkinson disease.
Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster
A script to analyze with DESeq2 data from Kallisto. You maybe are interested only in DESeq2 part and its analisis and representation :)
Ferroptosis and antioxidant effect on stem cells
Differential Gene Expression (DGE) Analysis with DESeq2 using a reference genome
Performing RNA-seq data analysis with DESeq2 package of bioconductor
Part of the final project for an Intro to Bioinformatics graduate course. Using RStudio I ran DESeq2 to show differentially expressed genes between control mice and mice infected with RSV.
Repository containing code I have written in R.
Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last…
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
DESeq2 Analysis of Human Airway Smooth Muscle Cells
Bulk Rna-seq Analysis
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