Additional file 4: Table S1. of Identification of regulatory modules in genome scale transcription regulatory networks

Module identified by CoReg in yeast-1-hybrid network. 0 means no module assignment (XLSX 18 kb

Additional file 3: Figure S3. of Identification of regulatory modules in genome scale transcription regulatory networks

Rewiring recall score for LP, WT and EB in real networks. We rescaled the y-axis to highlight the differences in the curves for LP, WT and EB (PDF 29 kb

Additional file 2: Figure S2. of Identification of regulatory modules in genome scale transcription regulatory networks

Evaluation of different module-finding methods using simulated networks with different parameters. From top row to bottom row: mSize = 5, mSize = 15, mSize = 20. From left most column to right most column: targetNum = 5, targetNum = 15, targetNum = 20. (PDF 73 kb

Additional file 5: Table S2. of Identification of regulatory modules in genome scale transcription regulatory networks

Edges connecting each module member with their first neighbors (XLSX 193 kb

L'Avenir de Luchon : journal scientifique, littéraire, annonces et réclames : guide général des baigneurs et des touristes aux eaux thermales, bains de mer de la France et de l'étranger

08 avril 19001900/04/08 (N7)-1900/04/08.Appartient à l’ensemble documentaire : MidiPyren

Additional file 6: Table S3. of Identification of regulatory modules in genome scale transcription regulatory networks

Experiments used in co-expression analysis of DAP-seq network (XLSX 12 kb

Additional file 8: Table S5. of Identification of regulatory modules in genome scale transcription regulatory networks

P-values for co-expression analysis for Fig. 7 heatmap. (XLSX 96 kb

Influence of Brönsted Acid Sites on Activated Carbon-Based Catalyst for Acetylene Dimerization

Activated carbon (AC) has been widely used as a support material with both tunable acidity and abundant functional groups for solid acid catalysts in various chemical processes such as acetylene dimerization. A facile, mild acid modification method that directly activates AC to generate rich defects and oxygen functional group surface structures with Brönsted acid sites and an enhanced conductivity is presented here. Impressively, the catalyst with optimized Brönsted acid sites and an enhanced dispersion of active components exhibited a superior acetylene dimerization catalytic activity. Moreover, theoretical calculations indicated that an increase in hydrogen concentration could inhibit the formation of coke. This research offered a feasible potential way to devise and construct a carbon-based solid acid catalyst with an excellent catalytic performance

Diagram of profile.

<p>We used 3 kinds of profiles in this study: PSSM, SPSSM and Shape string profile. They have 20, 3 and 8 specific elements for each amino acid respectively obtained by sequence alignment and sequence-structure alignment. Each square represents a element that is normalized frequency. The red squares represent large values near ‘1′ and blue ones represent small values near ‘0′; and the deeper the color of the square is, the closer the value to extreme values.</p

5-fold cross validation results of Train_0925.

<p>5-fold cross validation results of Train_0925.</p