Comparative Genomics Analysis of Co-Association Networks in Species A and B
species A specific
module
conserved
module
species B specific
module
Figure 1
Input
simulated
annealing
to optimize H
Cost
function
H
Potts
Clustering
Output
Figure 2
Extendable to
more species
A set of cross-species modules, with different number of
shared orthologs
conserved
module
B-specific
module
A-specific
module
worm
(20377)
fly
(13623)
fly specific
module
worm specific
module
co-appear
frequency
worm and fly
genes
Sharing of
GO terms
16
14
Figure 3A
4
GO terms of a conserved module
Figure 3B
5
Figure 4
Figure 5
A
B
fly
worm
7
Figure 6
8
Figure 7
the number of sweep
Flipping rate
Figure S1
10
Figure S2
11
Figure S3
Figure S4
worm modules
fly modules
average number of common TFs (normalized)
Figure S5
Figure S6
15
1
co-appearance frequency
worm
(5769)
fly
(5507)
0
Figure S8
Figure S9
Enrichment
-log(P-value)
Explore Figures 1 through 5 depicting a novel method for identifying co-association networks of orthologs between species A and B. The analysis includes optimizing a cost function through simulated annealing, identifying cross-species modules, and assessing network modularity with respect to GO reference networks. Additionally, Figures 3A and 3B illustrate the sharing of GO terms among worm and fly genes. Figures S1 through S5 provide further insights into flipping rates, common TFs, and clustering in the genomic analysis.
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Presentation Transcript
Figure 1 co-association orthologs species B specific module conserved module species A specific module species A species B
Figure 2 Set initial temperature T(0) Orthologous pairs between species randomly assign labels (1,2,..,q) to nodes simulated annealing to optimize H Co-association network of species A Cost function H system evolves (labels flip) according to H Co-association network of species B T(k+1) = T(k) flipping rate is low? Extendable to more species Potts Clustering at most q modules labeled by 1 to q Input High-confidence modules based on multiple runs A set of cross-species modules, with different number of shared orthologs Output A-specific module B-specific module conserved module
Figure 3A worm and fly genes Sharing of GO terms 218 231 worm (20377) 117 Conserved module 16 14 fly (13623) worm specific module fly specific module co-appear frequency
Figure 3B GO terms of a conserved module 4
Figure 4 5
Figure 5 A B 1 0.04 1 optimal k the highest modularity 0.9 0.035 0.8 Fraction of Gold Standard covered in modules modularity of the GO reference network 0.03 Modularity of individual networks 0.7 0.6 0.025 fly 0.5 0.5 0.02 0.4 0.3 0.015 worm 0.2 0.01 0.1 0 0.005 50 0 0.5 1 1.5 2 coupling constant k 2.5 3 3.5 4 4.5 5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 coupling constant k
Figure 6 7
Figure 7 8
Figure S1 Flipping rate the number of sweep
Figure S2 10
Figure S3 11
Figure S4 average number of common TFs (normalized) worm modules fly modules
Figure S5 Number of modules by unweighted clustering Number of modules by weighted clustering Number of worm genes Number of fly genes worm 67 22 1 68 20 43 1 31 8 25 1 17 .. 5 23 1 6 fly 20 8 1 23 18 12 1 16 17 17 1 2 8 17 1 22 17 2 7 17 13 10 1 4
Figure S6 1 0.95 Fraction of metagenes recovered by Isorank 0.9 0.85 0.8 0.75 0.7 0.65 0.6 0.1 0.2 0.3 0.4 0.5 a 0.6 0.7 0.8 0.9
Figure S8 1 worm (5769) co-appearance frequency fly (5507) 0
Figure S9 Enrichment -log(P-value)
