[ ] general background on widespread use of transcriptome assembly - which fields? what insights?
[ ] long runtimes, resource intensive, but complex parameter spaces in all assemblers - optimisation almost never used
[ ] many different tools - all good at different stuff
[ ] reference-based metrics not suitable for optimisation, but new methods for quality analysis of transcriptome assemblies make it possible to compare and rank assemblies without a reference
[ ] assemblers treat the assembly problem as a single puzzle, but in transcriptomes it is really lots of separate puzzles