EVRC: reconstruction of chromosome 3D structure models using error-vector resultant algorithm with clustering coefficient.

Motivation: Reconstruction of 3D structure models is of great importance for the study of chromosome function. Software tools for this task are highly needed.

Results: We present a novel reconstruction algorithm, called EVRC, which utilizes co-clustering coefficients and error-vector resultant for chromosome 3D structure reconstruction.

Independent Component Analysis Reveals the Transcriptional Regulatory Modules in USDA110.

The dynamic adaptation of bacteria to environmental changes is achieved through the coordinated expression of many genes, which constitutes a transcriptional regulatory network (TRN). USDA110 is an important model strain for the study of symbiotic nitrogen fixation (SNF), and its SNF ability largely depends on the TRN. In this study, independent component analysis was applied to 226 high-quality gene expression profiles of USDA110 microarray datasets, from which 64 iModulons were identified.