GSE106572

Accurate Design of Translational Output by a Neural Network Model of Ribosome Distribution

We present a ribosome profiling data set from S. cerevisiae as part of a larger study that models the elongation rate along transcripts as a function of local sequence neighborhoods. We then apply this model to design coding sequences that are optimized for translational output.

Provenance — who produced it, who reused it

Linked to 3 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently