Supplemental Material for Newman et al., 2018

Supplementary figures, tables and files for Newman et. al, 2018, "Event Analysis: using transcript events to improve estimates of abundance in RNA-seq data", G3, manuscript# G3/2018/200373R1.
Additional File 1 contains Supplementary Figures 1-6 and Supplementaty Table 1
Supplementary File 1 contains the results of simulations to compare the Event Analysis approach to STAR (for junction detection) and iReckon (for transcript identification).
Supplementary File 2 contains the results of applying Event Analysis to eXpress, and the results of using iReckon to identify possible transcripts in the mouse neural data used in the study.

Supplementary File 3 contains the results of comparing Event Analysis (using Bowtie or SOAP2 as the aligner) against STAR for benchmarking junction detection using the mouse neural data. Results are benchmarked against the set of junctions observed in PacBio-sequenced transcripts in the mouse neural data.

Supplementary File 4 contains the comparison between Event Analysis and iReckon for the mouse neural data, benchmarked against PacBio-sequenced transcripts.

本数据集为Newman等人2018年发表于G3期刊的论文《事件分析（Event Analysis）：利用转录本事件优化RNA测序（RNA-seq）数据的丰度估算》（稿件编号G3/2018/200373R1）的补充图表、表格及配套文件。
附加文件1包含补充图1至6及补充表1。
补充文件1包含将事件分析方法与STAR（用于剪接连接检测）、iReckon（用于转录本鉴定）进行对比的模拟结果。
补充文件2包含将事件分析方法应用于eXpress的结果，以及使用iReckon对本研究所用小鼠神经组织数据中的潜在转录本进行鉴定的结果。
补充文件3包含以小鼠神经组织数据为基础，对比使用Bowtie或SOAP2作为比对工具的事件分析方法与STAR的剪接连接检测基准测试结果。该测试的基准集为小鼠神经组织数据中PacBio测序转录本所观测到的剪接连接集合。
补充文件4包含针对小鼠神经组织数据的事件分析方法与iReckon的对比结果，该对比以PacBio测序转录本作为基准集。