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From the HybMap data transcriptional activity is detectable from both strands of solitary LTR sequences, and the transcription appears to be confined to the LTR sequences themselves.
With the integration of protein-protein interactions data, transcriptional regulatory interactions (TRIs) data and microarray data covering hepatitis C, cirrhosis and Barcelona Clinic Liver Cancer (BCLC) staging HCC, we carried out a dynamic biological network analysis for the progression of HCV induced hepatocarcinogenesis.
Based on comparisons of microarray data, transcriptional responses to ozone and UV-B have been reported as similar [ 75].
Exploration of the wiring of miRNA regulatory relationships together with known protein protein interaction data, phenotypic data, transcriptional regulatory interactions and other functional genomics data may help to further elucidate the function of miRNAs at a system-wide level.
Our numerical results demonstrate that by applying our hypothesis to the data (transcriptional regulatory network and the reference list of genes known to be periodically expressed) we find a subnetwork of the overall transcriptional regulatory network connecting almost 80% of all periodic genes in the WCC.
As described below, genome-wide analyses also indicate that there is a relatively weak relationship between individual TF binding events and the genes affected by mutation of the TF, which cannot be completely explained by noise in the data, transcriptional cascades, or condition-specific activation.
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Gaidatzis, D., Burger, L., Florescu, M. & Stadler, M. B. Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation.
In our previous work, we have integrated a set of human protein-protein interaction data and transcriptional regulatory interaction data, which contains 37811 experimentally confirmed protein-protein interactions and 9148 experimentally confirmed transcriptional regulatory interactions [16].
There remains a need for computational approaches that can, in the absence of experimental TF binding data, leverage transcriptional data and genomic information to identify the network of TFs and binding sites that underlies a transcriptional response.
For E. coli datasets, we used a regulatory network from the RegulonDB database version 8 (regulondb.ccg.unam.mx, accessed 03/06/2015), a database integrating both small-scale experimental evidence as well as genome-wide data of transcriptional regulation38.
High-resolution RNA sequence (RNA-seq) data allows transcriptional features (promoters, terminators, operons, among others) to be pinpointed on any bacterial transcriptome.
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