Taking advantage of the ACO in traits such as self-organization and robustness, this paper designs and implements an ACO based algorithm named ACRI (ant-colony-regulatory-identification) for identifying all possible binding sites of transcription factor from the upstream of co-expressed genes.
A comparison of the landscape of non-coding conservation in the human and D. melanogaster genomes (Figure 2) suggests an explanation for the differential effectiveness of comparative regulatory sequence identification in these two species.
Regulatory sequence identification and characterization remains an important and challenging problem.
We have developed a two-step approach for gene regulatory network identification, featuring an integrated method to identify modularized regulatory structures and refine their target genes subsequently.
Because of their regulatory potential, identification of meQTLs may also be useful to harness the power of GWAS more efficiently [ 35].
For instance, the framework in (9) can significantly improve the accuracy of regulatory relationship identification by appropriately incorporating prior knowledge into the transcriptomic profiling data.
Using a double-resistance reporter assay and pig MSTN gene regulatory element identification, we have demonstrated its reliability, reproducibility and high efficiency.
Shi et al. [ 9] developed a two-step approach for gene regulatory network identification, featuring an integrated method to identify modularized regulatory structures and subsequently refine their target genes.
Then, unlike most existing methods on regulatory TFBS identification, we did not perform exhaustive motif search but instead focused on SNP-containing motifs introduced by genetic variation and mutation identified by SNP array.
In this paper, we have proposed a new method consisting of a clustering method (i.e., mAPC) and a sampling based method (i.e., GibbsOS) to tackle the problem of regulatory network identification.
The output from a regulatory network identification method most relevant to a practitioner is a ranking of all possible links, ordered by the probability that they are true edges.
