The Lawson Lab has interacted extensively with Dr. Julie Zhu and the MCCB bioinformatics team to apply and develop computational pipelines in their efforts to study vascular development in the zebrafish.  These efforts include application of standard deep sequencing approaches (RNA-Seq, ChIP-Seq, miR-Seq) as well as development of bioinformatics packages for identifying poly-adenylation sites through the use of machine learning.  The Lawson Lab continues to work with the MCCB bioinformatics group in their work to identify the transcriptional regulatory networks important for defining endothelial cell identity.

• Aday et al. (2011) Identification of cis regulatory features in the embryonic zebrafish genome through large-scale profiling of H3K4me1 and H3K4me3 binding sites. Dev Biol, 357(2):450-62. 
• Nicoli et al. (2012) miR-221 is required for endothelial tip cell behaviors during vascular development. Dev Cell, 22(2):418-29. 
• Sheppard et al. (2013) Accurate identification of polyadenylation sites from 3' end deep sequencing using a naive Bayes classifier.  Bioinformatics, 29(20):2564-71.