Sarika Jalan

TL;DR: The results demonstrate the potential of network theory on an integrated time-resolved genome-wide gene expression data in identifying candidate nodes contributing to phenotypic diversity in natural populations with application prospects in drug target discovery and personalized health.

TL;DR: This study investigated human mt-DNA sequences from NCBI database at different altitudes by employing co-occurrence motifs framework and revealed the presence of co- occultation motifs at a whole mitochondrial genome level, combined with the classical haplogroups analysis, useful in understanding role of co -occurrence of mitochondrial variations in high altitude adaptation.

TL;DR: In this article, the authors used random matrix analysis of a weighted social network to demonstrate the profound impact of weights in interactions on emerging structural properties, revealing that randomness existing in particular time frame affects the decisions of individuals rendering them more freedom of choice in situations of financial security.

TL;DR: In this article, a network-based investigation of longitudinal gene expression changes during sporulation of a yeast strain, SK1, using global network attributes, viz. clustering coefficient, degree distribution of a node, degree-degree mixing of the connected nodes and disassortativity, observed dynamic changes in these parameters indicating a highly connected network with inter-module crosstalk.

TL;DR: In this paper , the eigenvalue ratio distribution of various model networks, namely, small-world, Erdős-Rényi random, and (dis)assortative random having a diagonal disorder in the corresponding adjacency matrices, was investigated.