ADVANCED ONLINE TRAINING
Online Training on Comprehensive Pangenome Analysis: Graph-based Genome Comparison & Evolutionary Insights
Three-day advanced online BioMacLab training on comprehensive pangenome analysis, graph-based genome comparison and evolutionary interpretation. The announced workflow covered Linux, Python, genome QC and annotation, pangenome construction, ANI, phylogenomics, SNP analysis, GO/KEGG analysis, virulence factors and antimicrobial-resistance genes.
Online Training on Comprehensive Pangenome Analysis: Graph-based Genome Comparison & Evolutionary Insights
Three-day advanced online BioMacLab training on comprehensive pangenome analysis, graph-based genome comparison and evolutionary interpretation. The announced workflow covered Linux, Python, genome QC and annotation, pangenome construction, ANI, phylogenomics, SNP analysis, GO/KEGG analysis, virulence factors and antimicrobial-resistance genes.
TOPICS & TOOLS:
Linux
Python
Genome QC
Genome Annotation
Pangenome Analysis
ANI
Phylogenomics
SNP Analysis
GO Enrichment
KEGG
Virulence Factors
AMR Genes
Participants completing the assignment were announced to receive an e-certificate.
REGISTRATION / ARCHIVE
PROGRAMME OVERVIEW
Program Description & Objectives
BioMacLab announced an advanced online training on comprehensive pangenome analysis, graph-based genome comparison, and evolutionary insights. The source described Linux and Python, genome QC and annotation, pangenome construction, ANI, phylogenomics, SNP analysis, GO/KEGG analysis, virulence-factor analysis, and antimicrobial-resistance gene detection.
Verified Learning Components
- Linux command-line and system-optimization topics.
- Advanced Python for bioinformatics.
- Genome QC, annotation, and preprocessing.
- Core, accessory, and unique genome identification.
- Graph-based pangenome construction and visualization.
- ANI analysis and phylogenomics.
- SNP detection and comparative variant analysis.
- GO enrichment and KEGG pathway analysis in R.
- Virulence-factor and antimicrobial-resistance gene detection.
SYLLABUS · ROADMAP
Published Curriculum Structure
Only topics explicitly stated in the supplied BioMacLab training announcement are listed below.
TRAINING OUTLINE
Verified Pangenome Analysis Topics
16–18 January 2026
Verified Pangenome Analysis Topics
16–18 January 2026Topics below are taken from the published BioMacLab training outline.
Key Covered Topics:
- Linux command-line & system optimization
- Advanced Python for Bioinformatics
- Genome QC, annotation & preprocessing
- Core, accessory & unique genome identification
- Graph-based pangenome construction & visualization
- ANI analysis & phylogenomics
- SNP detection & comparative variant analysis
- GO enrichment & KEGG pathway analysis in R
- Virulence factor & antimicrobial resistance gene detection
Learning Resources & Training Environment
Resources or training conditions explicitly stated in the announcement:
Workshop Materials
Workshop materials were included in the announcement.
Software Tutorials
Software tutorials were included in the announcement.
Reference Guides
Reference guides were included in the announcement.
VERIFIED INSTRUCTORS
Course Instructors
Only instructors explicitly named in the supplied BioMacLab training announcement are shown.
Enam Ahmed
Instructor Graduate Research Assistant & PhD Student · Department of Biomedical Science · Inha University, South Korea View Academic Profile
Khandker Shahed
Instructor MSc in Communication Engineering · University of Bologna, Italy View Academic Profile
TRAINING REGISTRATION / ENQUIRY
Training Record: Online Training on Comprehensive Pangenome Analysis: Graph-based Genome Comparison & Evolutionary Insights
This training date has passed. The original registration link is retained only as an archival reference where available.
Registration Closed / Historical Training
The scheduled dates have passed. Any original form shown below is an archival reference and should not be treated as active registration.