building-genomics-pipelines

To build a genomics pipeline for RNA-seq data, use the Nextflow framework and the nf-core/rnaseq pipeline to handle alignment, quantification, and differential expression analysis. This approach provides exact commands and parameters for robust NGS data processing.

The best way to structure variant calling and annotation is to use DeepVariant or Mutect2 for variant detection, followed by VEP or SnpEff for annotation. This ensures accurate variant identification and functional annotation in your bioinformatics workflow.

For NGS data processing, use BWA-MEM2 for DNA alignment and STAR for RNA-seq alignment. These tools provide optimal read mapping performance and are recommended for building scalable genomics pipelines.

Yes, Nextflow supports reproducibility and scalability for genomics pipelines. It enables you to define workflows that address quality control requirements and scale across computing environments, ensuring consistent bioinformatics analysis results.

Yes, you can use Snakemake or WDL instead of Nextflow. This Skill guides users on multiple pipeline frameworks including Nextflow, Snakemake, and WDL, allowing flexibility in how you construct and execute your genomics data analysis pipelines.