Virtual Workshop on

Next-Generation Sequencing Data Analysis

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Workshop Aim: The workshop also aims to provide participants with advanced knowledge and skills in NGS data analysis, including transcriptome analysis, epigenetic analysis, metagenomics, and de novo assembly. The ultimate goal of the workshop is to enable participants to apply these techniques to solve complex research questions and make meaningful scientific discoveries in the field of genomics.

The amount of DNA sequenced worldwide each year through NGS could fillthe Grand Canyon 14 times!

Workshop Agenda

  • Introduction to NGS Technology
  • Processing of raw reads, adapter clipping, quality trimming
  • Read mapping (BWA, BWA-MEM, Bowtie2) to reference sequence
  • Mapping output (SAM/BAM format)
  • Visualization and evaluation of mapping quality
  • Bacterial whole genome assembly using SPADES
  • Assessment of genome assembly using BUSCO, QUAST
  • Genome Annotation
  • Functional annotation using EGG-NOG mapper

Intended for

Career Supporting Skills

  • Researchers and Scientists
  • Bioinformaticians and Computational Biologists
  • Clinical and Medical Professionals
  • Graduate Students and Postdoctoral Researchers
  • Industry Professionals
  • Educators and Trainers
  • Anyone with an Interest in Genomics and NGS
  • NGS Data Analysis
  • Transcriptome Analysis
  • Epigenetic Analysis
  • Metagenomics
  • De novo Assembly
  • Bioinformatics Tools and Pipelines

"Global market for NGS Services estimated at US$ 1716.1 million in the year 2022, isprojected to reach a revised size of US$ 4722.9 million by 2028"

Workshop Learning Outcomes

  • Participants will gain a comprehensive understanding of NGS data analysis and the ability to apply advanced techniques to real-world research problems.
  • Become proficient in using popular bioinformatics tools and pipelines for NGS data analysis, enabling them to conduct high-quality and reproducible analyses.
  • Gain hands-on experience in working with real-world datasets and applying NGS data analysis techniques to solve scientific questions.
  • Participants will be able to analyze and interpret complex NGS data, including identifying genetic variants, performing differential gene expression analysis, and analyzing epigenetic modifications.
  • Develop critical thinking and problem-solving skills, enabling them to solve complex problems related to NGS data analysis and apply these skills in real-world research settings.
  • Gain a valuable skill set that can be applied in a range of research and industry settings, including genomics research, biotechnology, pharmaceuticals, and more.

Keywords: NGS, high-throughput sequencing, bioinformatics, DNA sequencing, RNA sequencing, Single-Cell Sequencing, Variant Calling, metagenomics, ChIP-Seq analysis, Transcriptomics, Cancer Genomics, Genome Assembly, Microbiome Sequencing, Data Visualization, Machine Learning, Bioinformatics tools, Genomic data interpretation, Quality Control, Data Storage, Comparative Genomics, Clinical Applications, Functional Genomics, Workflows.

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