Author: Kun Sun; Liuqi Gu; Li Ma; Yunfeng Duan
Title: Atlas of ACE2 gene expression in mammals reveals novel insights in transmission of SARS-Cov-2 Document date: 2020_3_31
ID: 89sg0cpk_14
Snippet: All the transcriptome data was analyzed using a unified pipeline. Briefly, raw RNA-seq reads were first preprocessed to trim sequencing adapters and low-quality cycles using Ktrim software 27 with default parameters; the preprocessed reads were then aligned to corresponding reference genomes using STAR software 28 with default parameters. Key statistics during preprocessing and alignment was present in Table S2 in Supplementary data. The vast maj.....
Document: All the transcriptome data was analyzed using a unified pipeline. Briefly, raw RNA-seq reads were first preprocessed to trim sequencing adapters and low-quality cycles using Ktrim software 27 with default parameters; the preprocessed reads were then aligned to corresponding reference genomes using STAR software 28 with default parameters. Key statistics during preprocessing and alignment was present in Table S2 in Supplementary data. The vast majority (141/142) of the samples had more than 10 million uniquely mapped reads (median: 27.8 million), indicating sufficient sequencing depths for reliable gene expression quantifications 29 , which was performed using featureCounts 30 software with default parameters against RefSeq gene annotations 12 .
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