6. Conclusion

We show that the transcriptome can be modeled as an information system with emergent dynamic properties. The term nebula regulation is introduced to consider the regulatory effects of the whole transcriptome acting locally through RNA-RNA interactions and shifts between accessible and inaccessible stretches of RNA sequence. Described as a network of interactions from semantic analysis of similarity and reverse complementarity, together with the size of a transcript, affect the diffusion of transcripts in a cell, and hence the distribution of RNAs. A measure to represent resilience is proposed as the sum of the component elements (similarity, reverse complementarity, and normalized by total nucleotides) of this transcriptome filter.
