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Bacterial Comparative Genomics

Unraveling Evolutionary Threads: Exploring Bacterial Diversity Through Comparative Genomics

Explore the intricacies of bacterial genomics in our Advanced program on Bacterial Comparative Genomics. Designed for higher education audiences, this virtual program provides an immersive experience into the analysis of bacterial genomes using cutting-edge bioinformatics tools and techniques. Participants will gain practical skills in processing read data, performing de novo assembly, annotating genomes, and conducting comparative analyses to uncover the evolutionary dynamics and functional diversity of bacterial species.

Aim: The aim of the program on Bacterial Comparative Genomics is to equip participants with advanced knowledge and practical skills essential for analyzing bacterial genomes through comparative genomics methodologies. By the conclusion of the program, participants will possess the expertise needed to conduct sophisticated genomic analyses and contribute to advancements in bacterial genomics research.

Program Objectives:

  • Provide participants with the technical proficiency required to process and analyze read data for bacterial genomes.
  • Enable participants to perform de novo assembly, genome annotation, and comparative genomic analyses using state-of-the-art bioinformatics tools.
  • Foster an understanding of bacterial genome evolution, genetic diversity, and functional genomics.
  • Familiarize participants with tools for identifying antimicrobial resistance genes and conducting pangenome analyses to elucidate bacterial genome dynamics.
  • Introduce participants to Comparative Genomics Webservers for further exploration and analysis of bacterial genomes.

What you will learn?

Module 1:

  • Installing genomics tools with Conda
  • Obtaining reads Data
  • Perform QC and Trimming of Data
  • Perform de novo assembly using spades

Module 2:

  • Polish the draft assembly using pilon
  • Reordering contigs against a reference genome using ragtag
  • Multi-locus sequence typing
  • Annotate the draft genome using prokka

Module 3:

  • Look for antimicrobial resistance genes using abricate
  • Perform Pangenome Analysis
  • Overview of Comparative Genomics Webserver like BV-BRC

Requirements:
• Working knowledge of Linux OS system is a must for the program
• PC with Linux operating system or Microsoft Windows Subsystem for Linux (see this link: https://www.freecodecamp.org/news/how-to-install-wsl2-windows-subsystem-for-linux-2-on-windows-10/)
• Install conda. For installing conda in the Windows sub-system see the link: https://medium.com/@parham.motameni/install-conda-on-wsl2-2e76d1e03229

Intended For :

  1. Educational Background: Candidates should typically hold a Bachelor’s degree in a relevant field such as Biology, Microbiology, Genetics, Bioinformatics, or a related discipline. Some programs may require a higher degree such as a Master’s or Ph.D.
  2. Research Experience: Previous research experience in microbiology, genomics, or bioinformatics is often preferred. This could include coursework, internships, or hands-on laboratory experience.
  3. Skills and Knowledge: Candidates should have a strong foundation in molecular biology, genetics, and bioinformatics. Proficiency in relevant software and programming languages commonly used in genomic analysis (such as Python, R, or Perl) may be required.
  4. Interest in Comparative Genomics: Applicants should demonstrate a keen interest in studying bacterial diversity, evolution, and genomic variations across different species or strains. Familiarity with concepts in comparative genomics and evolutionary biology is beneficial.
  5. Collaborative Attitude: Successful candidates should be able to work effectively in a collaborative research environment. Strong communication skills and the ability to work as part of a multidisciplinary team are often valued.
  6. Motivation and Commitment: Candidates should demonstrate a genuine passion for research in bacterial genomics and a strong commitment to advancing scientific knowledge in the field.
  7. Academic Record: A strong academic record, demonstrated through transcripts and recommendation letters, may be required for admission to some programs.
  8. Specific Program Requirements: Depending on the program, additional eligibility criteria such as language proficiency, GRE scores, or specific prerequisites may apply. Applicants should carefully review the program requirements before applying.

Career Supporting Skills

Genomic Data Analysis Bioinformatics Tools Comparative Genomics Expertise Antimicrobial Resistance Identification Pangenome Analysis Linux OS Proficiency