Exploring SPuNC data sets

Input data: Alignment: Training tRNA Training 5S rRNA Training 16S rRNA Benchmark HH rz. Benchmark glmS rz. Benchmark TPP rs. Benchmark Purine rs. Validation tRNA (M) Validation tRNA (H) Validation RNase P (M) Validation RNase P (H) Validation SSU rRNA (M) Validation SSU rRNA (H) Validation LSU rRNA (M) Validation LSU rRNA (H) Type of data: Alignment Colored alignment Reference structure Compositional patterns Results data: top-cutoff: 0.1 bp_cutoff: 0.4 Reference Z-score: trained extreme Weights? yes no Alignment: Training tRNA Training 5S rRNA Training 16S rRNA Benchmark HH rz. Benchmark glmS rz. Benchmark TPP rs. Benchmark Purine rs. Validation tRNA (M) Validation tRNA (H) Validation RNase P (M) Validation RNase P (H) Validation SSU rRNA (M) Validation SSU rRNA (H) Validation LSU rRNA (M) Validation LSU rRNA (H) Ensemble: Normal Extended Type of data: Alignment Reference structure Ensemble Compositional statistics Scores Ensemble consensus Top consensus Figure ensemble Figure ensemble vs top Figure score vs accuracy Figure rank vs score Accuracy tables: top-cutoff: 0.1 bp_cutoff: 0.4 Reference Z-score: trained extreme Weights? yes no Accuracy metric: SEN PPV CC CS

The SPuNC web server was developed by Sandra Smit, Rob Knight, and Jaap Heringa