Supplemental Material for Newman et al., 2018

Abstract

<div>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.</div><div><br></div><div>Additional File 1 contains Supplementary Figures 1-6 and Supplementaty Table 1</div><div><br></div><div>Supplementary File 1 contains the results of simulations to compare the Event Analysis approach to STAR (for junction detection) and iReckon (for transcript identification).</div><div><br></div><div>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.<br></div><div><br></div><div>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.<br></div><div><br></div><div>Supplementary File 4 contains the comparison between Event Analysis and iReckon for the mouse neural data, benchmarked against PacBio-sequenced transcripts.</div

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