NGS & Linux Workflow: DNA-Seq Data Analysis - recorded course
Master the Linux environment to architect robust bioinformatics pipelines for clinical and research-grade DNA sequencing. Leverage AI-driven command-line tools and shell scripting to automate the journey from raw reads to genomic variants.
Course Description
In the era of Big Data genomics, the ability to navigate the Linux terminal is the ultimate superpower for researchers. This specialized course, DNASeq + Linux, provides a hands-on immersion into the computational backbone of Next-Generation Sequencing (NGS) analysis. You will move beyond simple point-and-click interfaces, learning to manage directories, handle large FASTQ files, and execute multi-tool pipelines in a high-performance computing environment. We integrate Artificial Intelligence (AI) through intelligent terminal assistants that help optimize your Bash scripting and debug complex bioinformatics errors in real-time. The curriculum follows a rigorous DNA-Seq workflow—from quality control and reference genome alignment to AI-accelerated variant calling. By mastering the command-line interface (CLI), you will learn how to automate repetitive tasks and ensure your research is scalable and reproducible. Whether you are aiming for a career in Genomics, Precision Medicine, or Biotechnology, this course provides the technical grit required to lead in the digital laboratory.
What You'll Learn
Proficiency in the Linux Command Line for managing high-volume genomic data.
Advanced Shell Scripting for creating automated, end-to-end NGS pipelines.
Techniques for FASTQ quality assessment and trimming using CLI tools.
Strategic mapping of reads to the human genome using BWA and Bowtie2.
Implementation of AI-driven variant callers to identify SNPs and Indels.
Managing software dependencies and environments using Conda and Docker.
Curriculum
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