Synthetic Biology Basics, Bit by Bit
New educational kits, BioBits, aim to inspire the next generation of synthetic biology researchers.
New educational kits, BioBits, aim to inspire the next generation of synthetic biology researchers.
View the full paper on the Nature Communications website. View the Northwestern Now article on the paper.
Discovery of gene regulatory networks (GRNs) is crucial for gaining insights into biological processes involved in development or disease. Investigating the temporal dynamics of regulatory networks is particularly insightful. We introduce Sliding Window Inference for Network Generation (SWING), which uniquely accounts for temporal information underlying GRNs, such as protein synthesis and posttranslational modifications. We validate SWING in both in silico and in vitro experimental systems, highlighting improved performance in identifying time-delayed edges and illuminating network structure. SWING performance is robust to user-defined parameters, enabling identification of regulatory mechanisms from time-series gene expression data.
This entry was posted in News on April 10, 2017 by Khalid Alam Eric and Kyle’s paper “ Distributed biotin-streptavidin transcription roadblocks for mapping cotranscriptional RNA folding” is now online at … Continued
Image by Joshua Leonard and Kelly Schwarz. Cell image by NIAID/NIH, used and modified under Creative Commons 2.0 license.