Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
-
Updated
Jan 17, 2024 - Shell
Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline
RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
Analysis pipeline for processing paired-end Illumina reads obtained after ancient mtDNA target enrichment capture.
Qiime2 and DADA2 are one of the latest bioinformatics tools used in 16S RNA analysis. The current Qiime2 and DADA2 pipelines support End to End 16S RNA analysis, among other analyses.
Complete Pipeline for RNA-seq data analysis: From FastQ to differntial gene expression to annotated Variations.
This repository contains the code pipeline I developed for Next Generation Sequencing (NGS) analysis during my internship at CSIR-IGIB, New Delhi. The project was completed under the guidance of Mr. Sunil Nagpal and Dr. Bhupesh Taneja. For detailed instructions and a better understanding of pipeline, please refer to the README.md file.
Script to clean Illumina pair-end sequences produced with the Nextera kit. Bases below Q30, Ns, and Nextera adapters are removed. Bases can also be removed at the beginning and end of each sequence. At the end, clean files can be analyzed with FastQC.
Pipeline for automated genomic variant analysis in inherited diseases, integrating alignment, variant calling, and quality control
Report the mean quality score per base from the output of FastQC.
A script that efficiently processes multiple '.fastq' files, automatically organizing the pre-trimmed output into a folder named 'qc_reports_pretrim' for streamlined quality control and sequence data analysis.
Add a description, image, and links to the fastqc topic page so that developers can more easily learn about it.
To associate your repository with the fastqc topic, visit your repo's landing page and select "manage topics."