This program is dedicated to the study of viral diversity and its role in epidemic infectious diseases that keep re-emerging, including zoonotic spillover, transmission between humans, and the process of viral and bacterial disease development. Participants will get a chance to learn about bioinformatics and analyze genomic data by applying various analysis approaches to study viral genomes.
As a result, you will learn to understand relationships between viral strains and haplotypes, find differences in sequence data, and see the implications for drug and vaccine design. This program will provide opportunities to practice analyzing data to gain hands-on experience with curated datasets from public domain collections, guided by experts with bioinformatics experience and knowledge about virology.
Register Below & Get Started with Bioinformatics Training for Infectious Diseases
Key Topics Covered:
Many types of omics data require step-by-step preparation, exploration, annotation, and visualization to understand. The T-BioInfo platform was designed for big multi-omics data analysis hiding the complexities of data with a user-friendly and intuitive interface that eliminates the need for coding and advanced machine learning algorithms for data integration and mining.
A program that embeds data-driven concepts into biological projects, spanning the student learning journey from observer to participant in research. Project-based learning for big data bioinformatics is to go beyond the theory with real datasets, projects, and expert mentors. Work with curated datasets from publicly available repositories with easy-to-follow tutorials.
Data processing for Next Generation Sequencing, Mass-Spectroscopy, Structural and phenotypic data. Build and adapt pipelines using similar approaches to data mapping, quantification, and annotation that are used to prepare data for downstream statistical analysis, train machine learning models, and annotate features.
GWAS studies for viral and bacterial genomes & Variation mapping on protein structures
Online bioinformatics coding exercises to learn and explore R and Python scripting and understand how to analyze and visualize -omics data to extract meaningful insights from large biological datasets. Learn, practice, and achieve bioinformatics greatness with concise exercises and interesting challenges right in the comfort of your browser!
Program Syllabus : Bioinformatics for Infectious Diseases
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Next-generation sequencing: viral genomes in host transcriptome
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Multiple Sequence Alignment and Phylogeny
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Hands-on session, preparing and running your pipeline
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Q&A and DISCUSSION of pipeline results
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From Infection to Pandemic: viral adaptation
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Symptom severity: Disease progression and outcomes
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Hands-on project discussion
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Rate of Mutation - mutation variant types
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Mutation Annotation & Significance for analysis
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Host-pathogen interaction
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This Guided online program is designed to provide comprehensive training in next-generation sequencing data techniques for viral and bacterial genomes as well as experience using analysis tools such as multiple sequence alignment (MSA: ClustalW), phylogenetic evolutionary analysis (BEAST), functional annotation (NCBI Virus) and protein function (PDB, ChimeraX) as well as big data analysis approaches like GWAS. Includes an introduction to host response (RNA-Seq) using publicly available data on Ebola, Coronaviruses, EV-D68, and Tuberculosis.
Register for the Upcoming Webinar on May 10, 2022
Infectious Diseases Example Projects on OmicsLogic Learn Portal




OUTCOMES OF THE PROGRAM
In this program, we will learn about important principles of bioinformatics in application to virology, including:
Use of bioinformatics in virology
- Methods of analysis
- Databases and references
- Raw data types and repositories
Important factors for antivirals
- Prevention of cell entry
- Inhibition of replication
- Toxicity, specificity
- Solubility, permeability
Case studies we will utilize in this program:
- Coronaviruses and the recent COVID-19 epidemic
- EBOLA outbreaks over the last decade: emerging diseases
- Flu and other respiratory disorders: challenges with vaccines and antivirals
- Tuberculosis: bacterial chronic diseases and antibiotic resistance
- Malaria
- EV-D68
Important factors for vaccine design
- Exposed parts of viral proteins,
- Vaccine types: protein-based, virus-based
- Novel approaches to rapid-response vaccines: interference