pyteiser is a python package that identifies RNA structural motifs that could explain genome-wide changes in gene expression, stability, or other quantitative transcriptomic measures. pyteiser encodes structural motifs as context-free grammars that represent short stem-loop structures along with a known primary sequence. It performs non-parametric statistical tests to identify which structural motifs are significantly informative of transcriptome-wide gene expression changes.
Click here to access pyteiserSave computational resources by storing intermediate files in compressed binary format for fast processing of new datasets from the same reference organism or transcriptome.
Built on the same concept as TEISER but includes improved stastistical test and the option to include in silico RNA secondary structure prediction and/or SHAPE data.