Workshop Registration End Date :2024-06-14

Virtual Workshop

Metagenomics Using Galaxy Platform

Metagenomics, data format, analysis workflow, Galaxy platform, retrieving data, amplicon data, importation, quality control, sequence alignment, taxonomic extraction, visualization, shotgun metagenomics, data upload, functional information, Windows PC, internet access, Galaxy account, microbiome, bioinformatics.

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MODE
Virtual (Google Meet)
TYPE
Mentor Based
LEVEL
Moderate
DURATION
3 Days (1.5 Hours/ Day)
Start Date
14 – Jun – 24
Time
03:30 PM IST

About

Participants will cover fundamentals, data formats, and workflows, progressing to practical exercises on the Galaxy platform. Sessions include amplicon data analysis and shotgun metagenomics, culminating in a holistic understanding of microbial ecosystems. Requirements: Windows PC, internet access, and a Galaxy platform account. Elevate your metagenomics proficiency with hands-on experience.

Aim

The aim of the Metagenomics Analysis Workshop is to provide participants with a comprehensive understanding of metagenomics principles, data formats, and analysis workflows. Through practical exercises on the Galaxy platform, attendees will gain proficiency in importing, analyzing, and visualizing metagenomics data. By the end of the workshop, participants will be equipped with the skills necessary to explore and interpret complex microbial communities using advanced computational tools, ultimately advancing their expertise in metagenomics analysis.

Workshop Objectives

  • Metagenomics Principles Understanding: Provide participants with a foundational understanding of metagenomics principles and their significance in microbiome research.
  • Data Formats and Workflows Familiarization: Familiarize attendees with common data formats and analysis workflows used in metagenomics research, enabling them to navigate through complex datasets effectively.
  • Galaxy Platform Introduction: Introduce participants to the Galaxy platform as a versatile tool for metagenomics data analysis, covering its functionalities and applications in research.
  • Effective Data Retrieval and Preprocessing: Equip participants with the skills necessary to retrieve and preprocess metagenomics data efficiently, ensuring data quality and integrity.
  • Amplicon Data Analysis Hands-On Session: Provide practical guidance on amplicon data analysis, including data importation, quality control, sequence alignment, taxonomic information extraction, and visualization techniques.
  • Shotgun Metagenomics Data Analysis Workshop: Guide participants through shotgun metagenomics data analysis, covering data upload, taxonomic and functional information extraction, and interpretation.
  • Interactive Workshops and Exercises: Foster hands-on experience and skills development through interactive workshops and exercises, enabling participants to apply theoretical knowledge into practice.
  • Troubleshooting Common Challenges: Enable participants to troubleshoot common challenges encountered during metagenomics data analysis, empowering them to overcome obstacles effectively.
  • Facilitation of Collaboration and Knowledge Sharing: Promote collaboration and knowledge sharing among participants from diverse backgrounds and disciplines, encouraging networking and mutual learning.
  • Encouragement for Research Advancement: Inspire participants to apply their newfound knowledge and skills to advance research and innovation in the field of metagenomics, fostering contributions to scientific advancement.

Workshop Structure

Day 1: Introduction

  • Introduction to Metagenomics
  • Understanding Metagenomics Data format and analysis workflow
  • Introduction to Galaxy platform
  • Retrieving metagenomics data

Day 2: Amplicon Data

  • Importing the data
  • Quality Control
  • Sequence Alignment
  • Extraction of taxonomic information
  • Visualization

Day 3: Shotgun Metagenomics Data

  • Data upload
  • Extraction of taxonomic information
  • Extraction of functional information

Requirements:
Windows PC with good internet and Account in galaxy platform : https://usegalaxy.org/

Participant’s Eligibility

Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Life Sciences, Computational Biology, Biomedical Research, Pharmaceutical and Biotech Industry, Environmental Sciences

Important Dates

Registration Ends

2024-06-14
Indian Standard Timing 02:30 PM

Workshop Dates

2024-06-14 to 2024-06-16
Indian Standard Timing 03:30 PM

Workshop Outcomes

  1. Enhanced Understanding: Develop a comprehensive understanding of metagenomics principles, data formats, and analysis workflows.
  2. Proficiency in Galaxy Platform: Gain proficiency in navigating the Galaxy platform for metagenomics data analysis and visualization.
  3. Data Retrieval Skills: Acquire skills to effectively retrieve metagenomics data from various sources for analysis.
  4. Quality Control Mastery: Learn to implement robust quality control measures to ensure the reliability and accuracy of sequencing data.
  5. Sequence Alignment Expertise: Master sequence alignment techniques for aligning sequencing reads to reference genomes or databases.
  6. Taxonomic and Functional Information Extraction: Gain proficiency in extracting taxonomic and functional information from metagenomics datasets to characterize microbial communities and identify biological functions.
  7. Visualization Proficiency: Develop skills in visualizing and interpreting metagenomics data effectively, facilitating clear communication of findings.

Mentor Profile

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Name: DR. SUBARNA THAKUR
Designation: Assistant Professor
Affiliation: Assistant Professor, Department of Bioinformatics, University of North Bengal

Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received his/her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

Certificate

wsCertificate

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