K. Dingle

Maximum Mutational Robustness in Genotype-Phenotype Maps Follows a Self-similar Blancmange-like Curve

The paper proves that maximum mutational robustness in genotype-phenotype maps follows a fractal sums-of-digits function and shows this bound is achieved by RNA secondary structure and HP model phenotypes.

Genomic Sequencing from Sputum for Tuberculosis Disease Diagnosis, Lineage Determination and Drug Susceptibility Prediction

This study evaluates direct-from-sputum whole-genome sequencing for tuberculosis diagnosis, lineage determination, and drug susceptibility prediction using different sequencing technologies.

Predicting phenotype transition probabilities via conditional algorithmic probability approximations

The paper derives an upper bound for phenotype transition probabilities using algorithmic probability approximations and applies it to predict transitions in RNA and protein secondary structures.

Random and natural non-coding RNA have similar structural motif patterns but can be distinguished by bulge, loop, and bond counts

The paper compares structural motifs of natural and random RNA, finding they are similar but can be distinguished by bulge, loop, and bond counts, with high classification accuracy using these features.

Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution

The paper shows that symmetry and simplicity in biological systems arise from algorithmic biases in evolution, not just natural selection, by testing predictions on protein complexes, RNA structures, and gene networks.

Phenotype bias determines how RNA structures occupy the morphospace of all possible shapes

The paper shows that RNA secondary structure morphospace is dominated by phenotype bias, not natural selection, as frequent structures are more likely to appear from random mutations.