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Table 1 Performance of SPoRE and other models for axis proteins and for DSBs

From: SPoRE: a mathematical model to predict double strand breaks and axis protein sites in meiosis

Axis proteins - Red1
Model description Pearson Spearman
  correlation correlation
Id Positions Weights Loc Glo Loc Glo
1 Gene ends 1 0.14 0.11 0.13 0.11
2 Gene ends Gene length 0.58 0.52 0.54 0.51
3 Diffusion along gene Gene length 0.63 0.54 0.63 0.60
DSB - Spo1
Model description Pearson Spearman
  correlation correlation
Id Positions Weights Loc Glo Loc Glo
1 Gene starts 1 0.34 0.28 0.68 0.65
2 Gene starts Gene length 0.26 0.21 0.65 0.63
3 Promoters 1 0.48 0.40 0.74 0.71
4 Promoters IRL 0.50 0.41 0.74 0.70
5 Promoters GC 0.58 0.52 0.75 0.72
6 Promoters G C×I R L 0.62 0.56 0.76 0.72
  1. Local and global Pearson and Spearman correlation coefficients have been calculated between different model curves and S. cerevisiae experimental data for axis proteins [9] and DSBs [24]. Bold characters highlight best performance. Different models are characterized by different weighting factors (column “weights”). For DSB analysis, GC is GC-content smoothed with a Gaussian kernel of 1000 nucleotides; IRL is the intergenic region length, or IRL max if the region is too large (see Methods). SPoRE model for axis proteins is number 3, and for DSBs is number 6. Values are output of the SPoRE program (Figure 2, bottom right). See also the correlation curves for models 3 and 6 in Additional file 1: Figure S7. All p-values associated to both Pearson and Spearman global correlations are lower than 10e −15 (even for weak correlations such as 0.11). Highest correlations are highlighted in boldface.