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March 21, 2019
Sponsored by
Loop Genomics

A Long-Read vs. Short-Read Platform Comparison (Part 2): Best NGS Approaches for Human Transcriptome Sequencing

GenomeWebinar

Professor of Bioinformatics, Microbiology and Cell Science Department, University of Florida

This webinar provides a comparison of next-generation sequencing (NGS) approaches for human transcriptome sequencing, including short-read Illumina sequencing and synthetic long-read sequencing technology.
 
NGS is a powerful method for characterizing eukaryotic gene expression. While short-read transcriptome sequencing data is inexpensive, it has major shortcomings, including difficulty detecting isoforms and gene fusions, trouble discriminating paralogous sequences, and difficulties in phasing alleles. Long-read sequencing such as PacBio Iso-Seq, meanwhile, offers long reads but at increased cost, higher error rates, and reduced quantification abilities.
 
Another approach, LoopSeq synthetic long-read sequencing technology from Loop Genomics, uses unique molecular identifiers to generate synthetic long reads on short-read Illumina sequencing instruments and no additional hardware. This method offers a promising option for human transcriptome sequencing by providing full-length mRNA sequencing coupled with UMI-based transcript counting for gene expression quantification.
 
In this webinar, Ana Conesa, Professor of Bioinformatics at the University of Florida, discusses a comparison study of short-read Illumina transcriptome sequencing and LoopSeq Transcriptome sequencing data for human transcriptome studies.

This is the second Loop Genomics GenomeWebinar on the topic of long-read versus short-read sequencing approaches. The first, which compared these methods in the context of microbiome sequencing, is available on demand here.

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