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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Methods. 2019 Apr 4;176:62–70. doi: 10.1016/j.ymeth.2019.03.026

Table 2.

Information on operon predictions from Rockhopper for ten genomes is shown in the table. The first column indicates the genome. The second column indicates the number of RNA-seq experiments from which Rockhopper used data to make its operon predictions. The third column indicates the number of multi-gene operons (operons containing two or more genes) predicted by Rockhopper. The fourth column indicates the total number of genes in all the multi-gene operons predicted by Rockhopper. The fifth column indicates the total number of protein-coding genes in the genome as annotated by RefSeq [35]. The sixth column indicates the similarity of Rockhopper’s operon predictions to DOOR’s operon predictions [16] as measured by the Rand similarity coefficient [51].

Genome Number
of RNA-
Seq Exps
Multi-
Gene
Operons
Number of Genes
Part of some Multi-
Gene Operon
Total
Genes in
Genome
Similarity to
DOOR Predictions
Neisseria
gonorrhoeae
2 410 1114 1886 91%
Salmonella
enterica
4 868 2677 4549 94%
Streptococcus
pyogenes
2 412 1307 1693 94%
Escherichia
coli
16 838 2557 4386 95%
Caulobacter
vibrioides
2 780 1428 3737 92%
Helicobacter
pylori
2 301 1111 1448 94%
Pseudomonas
aeruginosa
4 1215 3755 5573 92%
Bacillus
subtilis
4 880 2765 4328 90%
Shewanella
oneidensis
4 724 2169 4266 90%
Vibrio
cholerae
2 675 2011 3510 88%