Week 4 — Extended Module
Price
2000 S.R
2000 S.R
Duration
15 hours (internationally recognized)
3 Days
certificate
Accredited Innovation Training Program (AInTP) ®
Location
iGene Medical Training & Research Center
Date
This course runs from Oct 1th, 2025, to Oct 3th, 2025
Who is this course for?
Day 1: RNA Structure Prediction: The course covers methods to predict and analyze RNA secondary structure using tools like Mfold, including interpreting results and identifying conserved patterns.
Day 2: Evolutionary Analysis: It introduces the principles and methods of phylogenetic tree building (e.g., maximum likelihood) to study RNA evolution, including data preparation and evaluating tree reliability with bootstrapping.
Day 3: Genomic Data Exploration: The focus shifts to applying these skills in a genomic context, using major databases like Ensembl to browse genomes and perform comparative genomics to find orthologous genes across species.
A hands-on, step-by-step journey from the fundamentals to applied analysis. Trainees learn how to retrieve and clean real sequence data, run core DNA/protein analyses, build high-quality alignments, and generate publication-ready outputs. Each week delivers ~15 training hours (internationally accredited, AInTP) with practical exercises and instructor feedback.
Week 4 — Extended Module
What you gain (brief): Capstone practice—refined alignments, structural predictions, and publication-ready visuals consolidated into a mini-project.
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Day 1: Introduction to RNA Bioinformatics (5 hours)
- Lecture (2 hours):
- The world of non-coding RNAs.
- Predicting RNA secondary structure with Mfold.
- Searching for RNA patterns and genes (tRNAscan-SE, PatScan).
- Practical (3 hours):
- Folding an RNA sequence using Mfold.
- Interpreting mfold results and comparing alternative structures.
- Analyze a protein of interest: predict its secondary structure and map conserved regions from an alignment onto it.
Day 2: Phylogenetics and Evolutionary Analysis (5 hours)
- Lecture (2 hours):
- Principles of phylogenetic analysis.
- Preparing data for tree building: choosing sequences and refining alignments.
- Tree building methods (neighbor-joining, maximum likelihood).
- Evaluating tree reliability: Bootstrapping.
- Building a phylogenetic tree using ClustalW or a dedicated server like PhyML.
- Visualizing and interpreting the tree.
Day 3: Genomics and Modern Applications (5 hours)
- Lecture (2 hours):
- Working with whole-genome databases (NCBI Genome, Ensemble).
- Introduction to comparative genomics.
- Recap of the "Ten Commandments for Using Servers."
- Practical and Tasks (3 hours):
- Browsing the human genome with Ensemble.
- Exploring orthologous genes across different species.
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Trainees who completed earlier weeks and want a full applied project.
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Thesis students, research assistants, and lab teams preparing manuscripts.
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Anyone building a portfolio piece that showcases practical bioinformatics skills.