Table 1

Summary of bioinformatic tools that can be used to predict bacterial RNA-human RNA targets

ToolUses energy*Uses accessibilityHomology/
Conservation
ReferenceGitHub or website link
Rfam43https://rfam.xfam.org
BLAST89https://blast.ncbi.nlm.nih.gov/Blast.cgi
RNAhybrid46https://bibiserv.cebitec.uni-bielefeld.de/rnahybrid?id=rnahybrid_view_submission
RNAnue53https://github.com/Ibvt/RNAnue
RNAup23https://www.tbi.univie.ac.at/RNA/RNAup.1.html
RNAplex24https://www.tbi.univie.ac.at/RNA/RNAplex.1.html
IntaRNA22 27http://rna.informatik.uni-freiburg.de/IntaRNA/Input.jsp;jsessionid=41FFC5A7C2ED917ED3C204B6E3D9CB6B
RIsearch247http://rth.dk/resources/risearch
DGE and Correlation Analysis55 56
IPA (TargetScan)59 62https://www.qiagen.com/us/products/discovery-and-translational-research/next-generation-sequencing/informatics-and-data/interpretation-content-databases/ingenuity-pathway-analysis/
miRanda64http://cbio.mskcc.org/miRNA2003/miranda.html
DIANA-microT66https://diana.e-ce.uth.gr/home
  • *Negative energy is associated with a higher likelihood of the interaction taking place.

  • DGE, differential gene expression; IPA, ingenuity pathway analysis.