Bioinformatics

Bioinformatics

Master bioinformatics with practical training in DNA/RNA sequencing, gene expression analysis, NGS pipelines, R programming, and real-time genomic data analysis using Linux, GEO, ENA, FastQC, Hisat2, and more.

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Descriptions

The SmartED Bioinformatics Industrial Training Program offers a hands-on, project-driven approach to mastering modern biological data analysis. Students are trained in essential tools and techniques, from sequence alignment and DNA/RNA data retrieval to NGS analysis and differential gene expression using popular tools like FastQC, Trimmomatic, Hisat2, SAMtools, StringTie, and Ballgown. The course includes Linux (Ubuntu) and R environment setup, making it ideal for students in life sciences, biotechnology, and computational biology. By the end of the course, learners complete a capstone project on gene expression profiling using publicly available datasets from GEO or ENA.

Key Points

Course Lessons

  • Topics: Role in biology, DNA/RNA/protein data types, file formats
  • Capstone: Compare different biological data types with examples
  • Homework: Identify and describe 3 bioinformatics databases
  • Topics: DNA libraries, types of sequencing, alignment tools
  • Capstone: Align DNA sequences using online tools (e.g., BLAST)
  • Homework: Run a global and local alignment simulation
  • Topics: 1st to 4th gen sequencing, QC, preprocessing
  • Capstone: Prepare NGS pipeline with required tools
  • Homework: Explain differences between 2nd and 3rd gen sequencing
  • Topics: GEO/ENA access, Ubuntu & R setup, commands
  • Capstone: Install and configure tools in Ubuntu for analysis
  • Homework: Download and document a sample dataset from GEO
  • Topics: FastQC, Trimmomatic, Hisat2, SAMtools
  • Capstone: Build a functional pipeline and run preprocessing
  • Homework: Document each step of the preprocessing pipeline
  • Topics: StringTie, Ballgown, result interpretation
  • Capstone: Analyze differentially expressed genes and visualize results in R
  • Homework: Write a mini-report summarizing key findings and graphs

Projects

  • Objective:

Conduct full gene expression profiling using an NGS dataset from GEO or ENA, running the full preprocessing and analysis pipeline.

  • Requirements:

Retrieve real RNA-Seq data, Run FastQC, Trimmomatic, Hisat2, SAMtools, Assemble transcripts using StringTie, Analyze results using Ballgown in R, Present key differentially expressed genes with visualization, Submit final project report including commands, outputs, and biological interpretation.

  • Format:

Individual project with report submission and optional presentation

Instructor

SmartED

Mentor

This course includes:

After the final task and according to the results

certificate
certificate

After the final task and according to the results

Government Certified

Earn NSDC Certification

This course is delivered in National Skill Development Corporation (NSDC) standards and fully aligned with NSDC’s national skill standards. We are live on the Skill India portal, offering government-recognized certification upon completion. Learners also benefit from live classes conducted directly through the Skill India platform, ensuring interactive, high-quality training from industry experts.
Benefits of NSDC Certification:
Register for NSDC certification today and advance your career with industry-recognized credentials.
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