µIVC-Useq: a microfluidic-assisted high-throughput functional screening in tandem with next-generation sequencing and artificial neural network to rapidly characterize RNA molecules

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FIGURE 5.
FIGURE 5.

Fitness landscape of the analyzed sequences. (A) Fitness landscape of the R3A selection round generated from the map of the sequence space obtained upon sequence classification by the self-organizing map (SOM) algorithm. (B) Fitness landscape of the R3B selection round generated from the map of the sequence space obtained upon sequence classification by the SOM algorithm. (C) Contour plot of the R3B fitness landscape identifying three sequence clusters. Corresponding logo of the sequences contained in each cluster is also shown.

This Article

  1. Published in Advance May 5, 2021, doi: 10.1261/rna.077586.120 RNA 27: 841-853

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