Jeremy Bellay

TL;DR: A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, and highly correlated profiles delineate specific pathways to define gene function.

TL;DR: This mutant collection should facilitate a wide range of systematic studies aimed at understanding the functions of essential genes, including roles for cohesin and condensin genes in spindle disassembly.

TL;DR: The clear and distinct functional association of flexible and constrained disorder will allow for new approaches and more specific algorithms for disorder detection in a functional context and demonstrate clear evolutionary selection of protein disorder with little selection on primary structure.

TL;DR: It is shown that duplicate genes exhibit fewer genetic interactions than other genes because they tend to buffer one another functionally, whereas observed interactions are non‐overlapping and reflect their divergent roles.

TL;DR: A data mining approach was developed to exhaustively discover all block structures within Saccharomyces cerevisiae's genetic interaction network, which allowed for its complete modular decomposition and revealed the importance of the context of individual genetic interactions in their interpretation and revealed distinct trends among genetic interaction hubs.