Explore network modules for Clostridium acetobutylicum

Use residual and motif e-value sliders to filter modules

Residual: 0-0.3 Motif e-value 0-10
This is the section to display the module list


CAC0019 CAC0023 CAC0032 CAC0078 agrB CAC0081 agrA CAC0093 CAC0113 CAC0115 CAC0144 sfsa CAC0155 MtlR CAC0162 CAC0174 CAC0183 CAC0189 CAC0191 CAC0195 CAC0197 CAC0201 CAC0231 CAC0240 CAC0254 nifHD CAC0255 nifHD CAC0265 CAC0284 CAC0289 CAC0299 CAC0310 abrB CAC0360 CAC0379 CAC0382 levR CAC0393 kdgR CAC0402 CAC0422 licT CAC0426 CAC0445 CAC0457 CAC0459 CAC0461 CAC0465 CAC0474 CAC0493 CAC0514 CAC0531 CAC0549 CAC0550 CAC0559 CAC0569 sacT CAC0571 CAC0599 CAC0627 CAC0681 nrgB CAC0693 CAC0707 rpoN CAC0708 CAC0723 CAC0724 CAC0745 CAC0763 CAC0766 CAC0768 CAC0807 CAC0821 CAC0832 CAC0841 CAC0849 CAC0856 CAC0859 CAC0860 CAC0863 CAC0865 CAC0876 CAC0929 CAC0933 xylR CAC0949 CAC0951 CAC0977 asnC CAC1032 CAC1046 CAC1070 CAC1071 CAC1086 xylR CAC1226 sigA CAC1264 lytR CAC1280 hrcA CAC1300 sigA CAC1320 glpP CAC1333 CAC1340 araR CAC1355 CAC1404 CAC1426 CAC1430 CAC1451 CAC1455 CAC1463 CAC1465 CAC1467 CAC1469 CAC1481 CAC1483 CAC1509 CAC1511 CAC1536 CAC1559 CAC1569 CAC1578 CAC1588 CAC1668 CAC1670 CAC1675 CAC1682 CAC1689 sigK CAC1695 sigE CAC1696 sigG CAC1698 CAC1719 rpoZ CAC1753 CAC1766 CAC1770 CAC1786 codY CAC1799 nusA CAC1800 CAC1832 lexA CAC1843 CAC1850 CAC1867 CAC1869 CAC1900 CAC1915 CAC1928 CAC1941 abrB CAC1945 CAC1946 CAC1947 CAC1950 CAC1965 greA CAC2052 CAC2053 CAC2054 CAC2055 CAC2060 CAC2071 CAC2074 argR CAC2084 nusB CAC2113 pyrR CAC2143 sigD CAC2209 csrA CAC2222 cheB CAC2236 CAC2242 CAC2254 CAC2259 CAC2297 CAC2306 CAC2307 CAC2394 CAC2430 greA CAC2451 CAC2471 CAC2473 CAC2476 CAC2486 CAC2495 CAC2546 CAC2552 CAC2568 CAC2605 CAC2608 CAC2616 CAC2634 CAC2675 CAC2690 CAC2768 CAC2773 CAC2793 CAC2794 CAC2818 CAC2842 CAC2851 CAC2859 spoIIID CAC2889 rho CAC2934 CAC2939 CAC2950 lacR CAC2955 lacR CAC2962 CAC2966 lacR CAC2990 csp CAC3037 ccpA CAC3046 CAC3063 CAC3088 CAC3104 rpoA CAC3142 rpoC CAC3143 rpoB CAC3149 nusG CAC3152 CAC3166 CAC3192 CAC3198 greA CAC3199 CAC3200 CAC3214 CAC3216 mfd CAC3224 purR CAC3236 CAC3247 CAC3267 CAC3271 CAC3283 CAC3324 CAC3338 CAC3345 CAC3349 CAC3360 CAC3361 CAC3370 CAC3399 CAC3406 CAC3409 alsR CAC3413 CAC3418 CAC3424 CAC3429 CAC3433 CAC3438 CAC3443 bltR CAC3466 CAC3472 CAC3475 CAC3481 CAC3485 CAC3487 CAC3488 CAC3494 CAC3496 CAC3502 CAC3504 CAC3507 CAC3509 CAC3512 CAC3518 CAC3525 CAC3553 CAC3579 CAC3603 CAC3606 CAC3611 CAC3646 CAC3647 abrB CAC3649 spoVT CAC3651 CAC3669 CAC3673 xylR CAC3677 kdpE CAC3687 CAC3695 CAC3729 spoOJ CAC3731 spoOJ
Network Exploration Help

This page gives you overview of the network modules for a particular organism. You can explore these modules by using various filters.

Currently we support two filters, Residual and Motif e-values. Network modules are loaded with default residual and motif e-value filters. In order to change filters, simply move the slider to select the desired range. Results table will automatically update to reflect your filter selections. If you would like to remove filters, click on "Reset Filters" button.

Network Table

Network table will show the following columns for each module.

Module: Number of the module for the given version of the network.

Residual: is a measure of bicluster quality. Mean bicluster residual is smaller when the expression profile of the genes in the module is "tighter". So smaller residuals are usually indicative of better bicluster quality.

Expression Profile: is a preview of the expression profiles of all the genes under subset of conditions included in the module. Tighter expression profiles are usually indicative of better bicluster quality.

Motif e-value: cMonkey tries to identify two motifs per modules in the upstream sequences of the module member genes. Motif e-value is an indicative of the motif co-occurences between the members of the module.Smaller e-values are indicative of significant sequence motifs. Our experience showed that e-values smaller than 10 are generally indicative of significant motifs.

Genes: Number of genes included in the module.

Functions: We identify functional enrichment of each module by camparing to different functional categories such as KEGG, COG, GO etc. by using hypergeometric function. If the module is significantly enriched for any of the functions, this column will list few of the these functions as an overview. Full list of functions is available upon visiting the module page under the Functions tab.


Inferelator algorithm identifies most probable regulatory influences for each module. These influences can be transcription factors or environmental factors. Influences section lists all the regulators that have influences on modules. Click on the regulator name If you would like to access which modules are regulated by these regulators.