QIAGEN CLC Genomics
Discovering Novel Plant Genome Transcripts with Hybrid Long- and Short-Read RNA-seq Data
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This webinar walks participants through a complete de novo transcript discovery workflow using QIAGEN CLC Genomics Workbench and the Transcript Discovery tools. Using a real-world dataset from the wild strawberry Fragaria vesca — combining PacBio long reads and Illumina short reads, attendees will learn how to move from raw RNA-seq data to a newly annotated reference genome ready for downstream expression analysis.
You will learn to:
- Run the Large Gap Read Mapper to align RNA-seq reads to a genomic reference while accounting for introns
- Use the Transcript Discovery tool to predict novel genes, transcripts, splice variants, and coding regions from read mapping data
- Incorporate prior annotation knowledge to update and improve an existing reference annotation
- Generate a new annotated reference genome from your discovered transcripts
- Run RNA-seq expression analysis against your new reference to quantify gene and transcript expression
- Interpret output tracks including predicted genes, rejected events, and splice junctions
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