Next Generation Sequencing (NGS) Technologies

Next Generation Sequencing (NGS) Technologies enable a wide variety of methods, allowing researchers to ask virtually any question related to genome, transcriptome, or epigenome of any organism. Sequencing methods differ primarily by how the DNA or RNA samples are obtained and by the data analysis used. The numbers of methods is constantly growing. The most common are small RNA-Seq: Whole Transcriptome Shotgun Sequencing, Exome Sequencing, De Novo Full-Length Transcriptome Analysis and Hybrid Sequencing Approach. Various NGS platforms in the market such as Illumina, SOLiD, and Roche, offer unprecedented ability to apply massively parallel sequencing of transcriptomics (RNA) and genomic (DNA) samples to understand disease and health. The enormous Differential Splicing and RNA Sequencing Data pose a fundamental problem of management and analysis. Various data analysis solutions eliminate the next-generation sequencing data management. ABRF Next-Generation Sequencing (ABRF-NGS) is the most effective technique for accurate sequencing data. For Ribonucleic acid, Single-cell RNA sequencing (scRNA-seq) is carried out which examines the RNA sequence information from individual cells with optimized next generation sequencing (NGS) technologies, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment.

 

  • RNA-Seq: Whole Transcriptome Shotgun Sequencing
  • Hybrid Sequencing Approach
  • De Novo Full-Length Transcriptome Analysis
  • Exome Sequencing
  • Differential Splicing and RNA Sequencing Data
  • Microarray Gene Expression
  • Transcriptome Databases
  • Transcriptome Profiling by RNA-Seq
  • ABRF Next-Generation Sequencing (ABRF-NGS)
  • Software and Platforms

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9th International Conference on Structural Biology

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