Standard analysis routine for samples that were generated with Lexogen's QuantSeq pool library preparation kit.
-
Updated
Oct 31, 2022 - Shell
Standard analysis routine for samples that were generated with Lexogen's QuantSeq pool library preparation kit.
Automated RNA-seq pipeline for lncRNA indentification
Tool to identify chimeric events from RNA-Seq data
SmedAnno is a robust RNA-Seq annotation pipeline designed to streamline analysis from raw reads to a comprehensive, functionally annotated gene set. It handles short reads, long reads, or a combination of both, and provides extensive quality control metrics to help identify potentially fragmented or chimeric gene models.
Performed a differential gene expression analysis with RNA-seq that compares the expression in human control breast cancer cell lines with lines treated by silencing the NRDE2 gene. A Salmon + tximport + DESeq2 workflow was conducted to pursue this.
In development scripts for EvolOMICs group's NGS Data Analysis Pipeline
This repository contains an automated shell script (run_pipeline.sh) for processing paired-end Bulk RNA-Seq data. The pipeline takes raw FASTQ files for a specified sample, performs quality control, trims poor-quality bases, aligns the reads to a reference genome, and quantifies gene expression.
An analysis script routine to assess if samples that were prepared with Lexogen's barcoded targeted QuantSeq Flex library preparation contain copies of the SARS-CoV-2 virus.
In this repository, I try to replicate the results of Rodriguez2017
This project uses an workflow pipeline to generate map and assemble RNAseq reads to a reference genome. Furthermore, we generate counts data and identify differentially expressed genes from 2 conditions.
It is a RNA-seq pipeline made as a mini project.
This repository contains all the scripts necessary to perform RNA-Seq analysis on HTC CRC Pitt.
Pipeline for processing bulk RNA-seq data from raw .fastq files to read counts.
End-to-end pipeline from raw FASTQ files to differentially expressed genes, built entirely from command-line tools on Linux. ~98% mapping rate across all samples and 1,192 significantly differentially express
Add a description, image, and links to the rna-seq-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the rna-seq-pipeline topic, visit your repo's landing page and select "manage topics."