Report: Workshop on Next Generation Sequence Data Analytics
Date: April 6th, 2024
Organizer: Sunandan Divatia School of Science
Objective: The primary aim of the workshop was to provide participants with insights into Next Generation Sequence (NGS) data analytics through open-source software, fostering collaboration and knowledge exchange in the field of genomic research.
Overview:
The Sunandan Divatia School of Science successfully organized a workshop dedicated to Next Generation Sequence Data Analytics on April 6th, 2024. The event witnessed active participation from undergraduate, postgraduate, and doctoral students, as well as faculty members. The workshop aimed to impart knowledge about open-source software pertinent to genome analysis and covered various facets of computational genome analysis.
Glimpse of the Next Generation Sequencing Data Analytics workshop
Key Sessions:
NGS Introduction: overview of Next Generation Sequencing techniques, laying the foundation for the subsequent sessions.
Sample and Library Preparation and Genome Browsers: Intricacies of sample and library preparation, along with an exploration of genome browsers, providing essential insights into the initial stages of genomic analysis.
Linux Installation, Commands, and Software for NGS: Linux installation procedures, essential commands, and software relevant to NGS, empowering participants with the necessary technical skills for computational analysis.
Retrieving NGS Data: Demonstrated the usage of the SRA toolkit and elaborated on various file formats associated with NGS data retrieval, facilitating access to valuable genomic data for analysis.
DNA-Seq Analysis and Visualization: DNA-Seq analysis techniques and visualization tools, enhancing their understanding of genomic data interpretation.
RNA-Seq Analysis and Visualization: Insights into RNA-Seq analysis methodologies and visualization approaches, offering participants a comprehensive view of gene expression analysis.
Metagenomics Analysis and Visualization: Metagenomics analysis and visualization techniques, expanding participants' knowledge to include microbial community analysis.
Key Sessions:
NGS Introduction: overview of Next Generation Sequencing techniques, laying the foundation for the subsequent sessions.
Sample and Library Preparation and Genome Browsers: Intricacies of sample and library preparation, along with an exploration of genome browsers, providing essential insights into the initial stages of genomic analysis.
Linux Installation, Commands, and Software for NGS: Linux installation procedures, essential commands, and software relevant to NGS, empowering participants with the necessary technical skills for computational analysis.
Retrieving NGS Data: Demonstrated the usage of the SRA toolkit and elaborated on various file formats associated with NGS data retrieval, facilitating access to valuable genomic data for analysis.
DNA-Seq Analysis and Visualization: DNA-Seq analysis techniques and visualization tools, enhancing their understanding of genomic data interpretation.
RNA-Seq Analysis and Visualization: Insights into RNA-Seq analysis methodologies and visualization approaches, offering participants a comprehensive view of gene expression analysis.
Metagenomics Analysis and Visualization: Metagenomics analysis and visualization techniques, expanding participants' knowledge to include microbial community analysis.
Outcome: The workshop proved to be an enriching experience, offering attendees a comprehensive understanding of NGS data analytics and its applications in genomic research. Participants had the opportunity to learn about various stages of computational genome analysis, from data retrieval to visualization, utilizing open-source software. Moreover, the event fostered collaboration and knowledge sharing among participants, paving the way for further advancements in genomic research and analysis.
Conclusion: The workshop on Next Generation Sequence Data Analytics organized by the Sunandan Divatia School of Science provided a platform for students and faculty members to delve into the intricacies of computational genome analysis. Through insightful sessions and demonstrations, participants gained valuable skills and knowledge essential for genomic research. The event's success underscores the importance of continued education and collaboration in advancing genomic science.
