diff --git a/figure/2_mondrianbats-1.pdf b/figure/2_mondrianbats-1.pdf
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diff --git a/figure/2_plot_omega-1.pdf b/figure/2_plot_omega-1.pdf
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diff --git a/figure/2_subsetbats-1.pdf b/figure/2_subsetbats-1.pdf
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diff --git a/figure/2_tablo-1.pdf b/figure/2_tablo-1.pdf
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diff --git a/figure/2_tablo_color-1.pdf b/figure/2_tablo_color-1.pdf
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diff --git a/rnw_scripts/covid_comp_dataset.Rnw b/rnw_scripts/covid_comp_dataset.Rnw
index c65abb44c694ef8caf72eba207e35d542dd00435..07310f6f544ce88bbea200dddb047f7d20efb682 100644
--- a/rnw_scripts/covid_comp_dataset.Rnw
+++ b/rnw_scripts/covid_comp_dataset.Rnw
@@ -677,8 +677,10 @@ tablo$enard<-tablo$`tmp$Gene.name` %in% enard$HGNC.symbol
sub<-tablo[tablo$enard==TRUE,]
@
+
Genes in Souilmi's list sorted by DGINN score for bats or for primates:
-<<>>
+
+<<>>=
sub[order(sub$nbats, decreasing=TRUE),]
sub[order(sub$nprimates, decreasing=TRUE),]
@
diff --git a/rnw_scripts/covid_comp_dataset.pdf b/rnw_scripts/covid_comp_dataset.pdf
index 19b0db4db450c23c9ae62daabe46b7565b384c36..c62d5c8380a31a3fdc82ed08b9dd6f56899880ac 100644
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diff --git a/rnw_scripts/covid_comp_dataset.tex b/rnw_scripts/covid_comp_dataset.tex
index 04b36d15226ae1185db23434b92abadeea39eb8d..726e2fc484807e5f8340ef0bfdeb60ef289d08ef 100644
--- a/rnw_scripts/covid_comp_dataset.tex
+++ b/rnw_scripts/covid_comp_dataset.tex
@@ -1785,11 +1785,93 @@ Add the 34 genes to the tablo:
\end{alltt}
\end{kframe}
\end{knitrout}
+
Genes in Souilmi's list sorted by DGINN score for bats or for primates:
-<<>>
-sub[order(sub$nbats, decreasing=TRUE),]
-sub[order(sub$nprimates, decreasing=TRUE),]
-@
+
+\begin{knitrout}
+\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}\begin{kframe}
+\begin{alltt}
+\hlstd{sub[}\hlkwd{order}\hlstd{(sub}\hlopt{$}\hlstd{nbats,} \hlkwc{decreasing}\hlstd{=}\hlnum{TRUE}\hlstd{),]}
+\end{alltt}
+\begin{verbatim}
+## tmp$Gene.name nbats nprimates enard
+## 239 RAP1GDS1 5 3 TRUE
+## 6 ACADM 4 5 TRUE
+## 136 IMPDH2 4 1 TRUE
+## 226 PUSL1 3 1 TRUE
+## 257 SCCPDH 3 3 TRUE
+## 95 FBN2 2 2 TRUE
+## 240 RBM28 2 0 TRUE
+## 53 CRTC3 1 2 TRUE
+## 81 ERP44 1 0 TRUE
+## 104 GCC1 1 0 TRUE
+## 165 MTCH1 1 0 TRUE
+## 216 PPT1 1 0 TRUE
+## 220 PRKAR2A 1 4 TRUE
+## 228 QSOX2 1 1 TRUE
+## 236 RAB8A 1 0 TRUE
+## 252 RTN4 1 2 TRUE
+## 270 SLU7 1 2 TRUE
+## 288 TIMM10 1 0 TRUE
+## 319 ZC3H18 1 1 TRUE
+## 321 ZDHHC5 1 2 TRUE
+## 1 AAR2 0 0 TRUE
+## 22 ARF6 0 0 TRUE
+## 78 ERLEC1 0 2 TRUE
+## 105 GCC2 0 4 TRUE
+## 119 GORASP1 0 3 TRUE
+## 121 GPX1 0 1 TRUE
+## 132 HSBP1 0 1 TRUE
+## 144 LARP4B 0 4 TRUE
+## 169 NDFIP2 0 1 TRUE
+## 209 PMPCA 0 2 TRUE
+## 215 PPIL3 0 1 TRUE
+## 229 RAB10 0 0 TRUE
+## 247 RHOA 0 0 TRUE
+## 308 UBAP2 0 4 TRUE
+\end{verbatim}
+\begin{alltt}
+\hlstd{sub[}\hlkwd{order}\hlstd{(sub}\hlopt{$}\hlstd{nprimates,} \hlkwc{decreasing}\hlstd{=}\hlnum{TRUE}\hlstd{),]}
+\end{alltt}
+\begin{verbatim}
+## tmp$Gene.name nbats nprimates enard
+## 6 ACADM 4 5 TRUE
+## 105 GCC2 0 4 TRUE
+## 144 LARP4B 0 4 TRUE
+## 220 PRKAR2A 1 4 TRUE
+## 308 UBAP2 0 4 TRUE
+## 119 GORASP1 0 3 TRUE
+## 239 RAP1GDS1 5 3 TRUE
+## 257 SCCPDH 3 3 TRUE
+## 53 CRTC3 1 2 TRUE
+## 78 ERLEC1 0 2 TRUE
+## 95 FBN2 2 2 TRUE
+## 209 PMPCA 0 2 TRUE
+## 252 RTN4 1 2 TRUE
+## 270 SLU7 1 2 TRUE
+## 321 ZDHHC5 1 2 TRUE
+## 121 GPX1 0 1 TRUE
+## 132 HSBP1 0 1 TRUE
+## 136 IMPDH2 4 1 TRUE
+## 169 NDFIP2 0 1 TRUE
+## 215 PPIL3 0 1 TRUE
+## 226 PUSL1 3 1 TRUE
+## 228 QSOX2 1 1 TRUE
+## 319 ZC3H18 1 1 TRUE
+## 1 AAR2 0 0 TRUE
+## 22 ARF6 0 0 TRUE
+## 81 ERP44 1 0 TRUE
+## 104 GCC1 1 0 TRUE
+## 165 MTCH1 1 0 TRUE
+## 216 PPT1 1 0 TRUE
+## 229 RAB10 0 0 TRUE
+## 236 RAB8A 1 0 TRUE
+## 240 RBM28 2 0 TRUE
+## 247 RHOA 0 0 TRUE
+## 288 TIMM10 1 0 TRUE
+\end{verbatim}
+\end{kframe}
+\end{knitrout}
\end{document}