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. 2014 May 2;9(5):e95437. doi: 10.1371/journal.pone.0095437

Table 1. Summary characterization of genomes for several datasets: Power-law-like distributions of inter-CNE distances at chromosomal scale.

Dataset Class of CNEs Unmasked Masked Reference genome
Average Extent (avg E) Average Extent of five ‘best’ chr. (avg E-5) Average Extent (avg E) Average Extent of five ‘best’ chr. (avg E-5)
i EU100+ 2 2.38 2.48 2.98 hg18
ia EU-FR 1.97 2.46 hg18
ib FR 2.2 2.72 hg18
ic XT-FR 2.32 2.32 hg18
id GG-XT-FR 2.14 2.14 hg18
ie EU-GG-XT-FR 1.96 1.96 hg18
iia Mammalian 1.49 1.9 1.59 2.04 hg17
iib Amniotic 2.2 2.86 2.25 2.91 hg17
iii Human/Chicken 2.35 2.63 hg19
iv Human/Fugu 2.78 3.26 hg17
v Human/Zebrafish 2.46 2.98 2.31 2.31 hg17
vi Human/El. shark 2.36 2.69 2.42 2.68 hg17
vii D. rerio PCNEs 2.43 3.01 #
viii Insect CNEs 1.23 1.23 1.42 1.42 dm1
ix Worm CNEs 1.7 1.7 WS140
x Human/Rodents 2.15 2.43 hg17

Propensity for the formation of power-law-like size distributions of the inter-CNE distances as quantified by the extent (E) of linearity in log-log scale. Average values of E for all chromosomes (avg E) and average values of E for 5 chromosomes with the largest E (avg E-5) in each genome are presented. Gene-masked genomes are also included when available (for details see in the text).

#: genome-build Ensembl 42 (zebrafish).