➔ Slides (web)
AuthorsBrad Langhorst,
New England Biolabs (NEB)AbstractTranscript abundance, aligment rate, Spike-in abundance, 5'-3' coverage, GC distribution and library diversity are all important quality factors in the context of RNA-seq experiments. We describe the infrastructure in Galaxy to assess library performance across these dimensions, the tools we use to aggregate results in a relational database, and data interpretation methods. Interactive visualization features allow bench scientists to correlate metadata with results, compare transcript levels, select and examine individual transcript properties from the hundreds of thousands of available results.