Michael Snyder

TL;DR: This study developed an intuitive and yet powerful approach to analyze the distribution of regulatory elements found in many different ChIP-chip experiments on a 10 approximately 100-kb scale and shows that regulatory elements are associated with the location of known genes.

TL;DR: A novel bottom-up approach to identify gene expression modules driven by known cis-regulatory motifs in the gene promoters based on the graphical Gaussian model and results indicate that motif position bias analysis is an effective tool for genome-wide motif analysis.

TL;DR: Signal transducer and activator of transcription (STAT) comprises a family of universal transcription factors that help cells sense and respond to environmental signals, and a novel, unique role for STAT5A is found in binding to genes involved in neural development and function, while STAT5B appears to play a distinct role in T cell development andfunction via DOCK8, SNX9, FOXP3 and IL2RA binding.

TL;DR: STAGE identified several previously unknown STAT1 target genes, many of which are involved in mediating the response to interferon-gamma signaling, and is a viable method for identifying the chromosomal targets of transcription factors and generating meaningful biological hypotheses that further the understanding of transcriptional regulatory networks.

TL;DR: A previously uncharacterized DNA-binding protein, Yjl103, was characterized in detail and a number of its target genes, many of which are involved in stress response and oxidative phosphorylation, were identified.