We've just released data from Iso-Seq interrogations of brain tissue from two avian models of vocal learning, Anna's hummingbird (Calypte anna) and zebra finch (Taeniopygia guttata), sequenced in collaboration with the Erich Jarvis and Olivier Fedrigo labs at the Rockefeller University.

For this data set, we used the Iso-Seq method to characterize the transcriptomes of two birds, with brain total RNA. The two species' brain samples were barcoded, pooled, and sequenced using 4 SMRT Cells on the Sequel System. An average of ~460,000 reads was generated per SMRT Cell; total sequencing data yields ranged from 6.1 to 7.7 Gb per SMRT Cell. More than 15,000 isoforms were identified in each species, including thousands that had not been previously annotated in each bird and 400 to 500 new genes.

Download the data set & read blog post