Supplemental material, sj-xlsx-2-cix-10.1177_11769351221135141 for A transcriptome-Based Deep Neural Network Classifier for Identifying the Site of Origin in Mucinous Cancer by Taejin Ahn, Kidong Kim,
The sequential steps taken and number of reads complying with each filtering step, per sample, are presented. S1–3 are the independent cocaine-exposed samples, S4–6 represent saline-treated animals.
This project collects the genomic and transcriptomic data generated for Tenthredo distinguenda to facilitate genome assembly and annotation as part of the Darwin Tree of Life Project (https://www.darw
