Off-target analysis of siRNA knock down paired with RNAseq
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Updated
Mar 14, 2024 - R
Off-target analysis of siRNA knock down paired with RNAseq
A script to analyze with DESeq2 data from Kallisto. You maybe are interested only in DESeq2 part and its analisis and representation :)
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…
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Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster
Basic script for RNA-seq analysis with DESeq2
RNA-seq replication analysis.
Jupyter notebooks for DGE results and ontology analysis and visualisation.
Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
Bulk Rna-seq Analysis
Repository containing code I have written in R.
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DESeq2 Analysis and visualization of specific genes, notably Pasilla. Script aims to identify and filter differentially expressed genes and neatly store the results. The project also includes Gene Ontology (GO) and Kegg pathway analyses, providing insights into the biological processes affected by the Pasilla gene depletion.
Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.
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.
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.
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