What you will learn
- Genome assembly and annotation
- Phylogenetic analysis techniques
- RNA-Seq and differential expression
- SNP calling and GWAS
- Metabolic pathway analysis
- Plant-specific database mining
- Reproducible research practices
Program Overview
Plant Genomic Data Analysis
⏱️ 4 weeks
- Covers NGS data processing, genome assembly evaluation, and annotation pipelines.
- Includes hands-on with Galaxy and command-line tools.
Transcriptomics Applications
⏱️ 4 weeks
- Focuses on RNA-Seq quality control, alignment, and expression quantification.
- Features DESeq2 for differential expression analysis.
Evolutionary Analysis
⏱️ 2 weeks
- Teaches multiple sequence alignment, tree building (RAxML, MrBayes), and molecular dating.
- Includes plastid genome case studies.
Applied Plant Bioinformatics
⏱️ 4 weeks
- Examines SNP calling, GWAS, and metabolic network reconstruction.
- Features KEGG and PlantCyc pathway analysis.
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Job Outlook
- Professional value: Essential for plant scientists
- Salary potential: 70K120K for bioinformaticians
- Industry demand: 15% growth in agbiotech roles
- Certification benefit: Recognized by CGIAR centers
Specification: Plant Bioinformatic Methods Specialization
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