Additional file 2 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Additional file 2: Table S1. List of collected known PASs. The known PASs in at least two of three (PolyA_DB3, PolyA-Seq or PolySite 2.0) databases or in the GENCODE (v35) annotation were labeled. And the stringent PASs annotated in all three databases or in the GENCODE (v35) annotation were also labeled. (Related Fig. 2A and S2A).

附加文件2：表S1。已收集的已知多聚腺苷酸化位点（PAS）列表。在PolyA_DB3、PolyA-Seq及PolySite 2.0这三个数据库中至少两个数据库内存在，或收录于GENCODE（v35）注释信息中的已知PAS均已予以标注。此外，在全部三个数据库中均有注释，或收录于GENCODE（v35）注释信息中的严格验证型PAS也已完成标注。（相关配图：图2A及补充图S2A）