Exon Level Machine Learning Analyses Elucidate Novel Candidate miRNA Targets in an Avian Model of Fetal Alcohol Spectrum Disorder. Exon Level Machine Learning Analyses Elucidate Novel Candidate miRNA Targets in an Avian Model of Fetal Alcohol Spectrum Disorder

An RNA-seq dataset obtained from neural fold-stage chicken (Gallus gallus, strain Special Black) embryos that were exposed to a pharmacologically-relevant alcohol concentration (52 mM for 90 min) or isotonic saline. The cranial headfolds were isolated 6 hours following the initial alcohol exposure. Following RNA isolation, cDNA synthesis, and quality assurance (20), paired-end reads (75 bp) were generated on an Illumina Genome Analyzer IIx (University of Wisconsin Biotechnology Center). Overall design: Paired end runs with 2 replicate ethanol exposed samples (pool of 23 individual neural folds) and 2 saline control samples (pool of 23 individual neural folds).