New methods benchmarking paper: <https://academic....
# riboseq
j
j
This kind of benchmarking without a ground truth (i.e manually annotated translated regions) is quite difficult to interpret but I think they have done a good job.
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I think the unfortunate thing about the current version of this nf-core pipeline is that the better performing tools are not reliable to run and ribotricer was chosen as it was easy to run rather than it being the best tool. There are no clear cut winners though and in reality translated region calling cannot be reliably done with samples with normal sequencing depth and annotation should be done on large amounts of aggregated data. I would argue that quantifying the expression of known non-CDS regions is more in the remit of this pipeline than translated region annotation would be.
i
yeah, there's always usability vs. performance trade-offs and adoption barriers to consider when choosing which tool to use/implement.. but this needs to also be considered by the tools'developers, otherwise this "tool self-selection" will generally make more accessible but less powerful tools way more popular. ultimately it depends how much a researcher or developer who invested extensive work in optimisations and benchmarking wants their tool to actually be used by the community.