With the existence of large publicly available plant gene expression data sets, many groups have undertaken data analyses to construct gene coexpression networks and functionally annotate genes. Often, a large compendium of unrelated or condition-independent expression data is used to construct gene networks. Condition-dependent expression experiments consisting of well-defined conditions/treat...

Tools that provide improved ability to relate genotype to phenotype have the potential to accelerate breeding for desired traits and to improve our understanding of the molecular variants that underlie phenotypes. The availability of large-scale gene expression profiles in maize provides an opportunity to advance our understanding of complex traits in this agronomically important species. We bu...

MOTIVATION There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expression time series data sets are available, dynamic models can, in principle, be used to infer correlative relationships between gene expression levels, which may be causal. However, because of the range of detectable ex...

this paper aims to assess the quality and accuracy aster dems and the arcgis alogorthms used for hydrologic analyses. to this end, first the plan of drainage networks in the region was extracted from aerial photographs and high resolution satellite images and was set as the real ground. in the next step, using the hydrology tool in arcgis software, raster networks of the region for the whole ca...

Plants are fascinating and complex organisms. A comprehensive understanding of the organization, function and evolution of plant genes is essential to disentangle important biological processes and to advance crop engineering and breeding strategies. The ultimate aim in deciphering complex biological processes is the discovery of causal genes and regulatory mechanisms controlling these processe...

The recent emergence of whole-genome expression data requires a novel computational method to efficiently extract biological information from the large-scale data. The typical method for extracting information about genetic networks is cluster analysis and Fourier analysis of gene-expression patterns [2, 3, 4]. These analyses have uncovered some of the genetic networks. However, in order to com...

The expression of some genes increases or decreases the expression of other genes forming a complex network of interactions. Typically, correlations between the expression of different genes under different conditions have been used to identify specific regulatory links between specific genes. Instead of that “bottom up” approach, here we try to identify the global types of networks present fro...

in recent years mobile networks have expanded dramatically, compared with other wireless networks. routing protocols in these networks are designed with the assumption that there is no attacker node, so routing protocols are vulnerable to various attacks in these networks. in this paper, we review the network layer attacks and then we simulate the impact of black hole attack on ad hoc on demand...