Differential analyses for RNA-seq : transcript-level estimates improve gene-level inferences Supplementary Material
Differential analyses for RNA-seq : transcript-level estimates improve gene-level inferences Supplementary Material
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发表时间：
2015
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通讯作者：
C. Soneson;Michael I. Love;Mark D. Robinson
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作者：
C. Soneson;Michael I. Love;Mark D. Robinson
SIM2数据集由来自人类1号染色体的模拟测序读数组成。使用RSEM v1.2.21[6]估计了两种模拟条件之一下15,677个转录本的测序参数以及潜在的TPM值，这些转录本来自编号为E MTAB 1733的ArrayExpress数据集的ERS326990样本。我们模拟了两种情况下的三个生物复制。在这两个条件之间引入了三种类型的差异丰度，均分配给参考数据集中TPM估计在0.1到1000之间的基因(“合格”基因)：
The sim2 data set consists of simulated sequencing reads from the human chromosome 1. The sequencing parameters as well as underlying TPM values for the 15,677 transcripts in one of the two simulated conditions were estimated using RSEM v1.2.21 [6] from the ERS326990 sample from the ArrayExpress data set with accession number E MTAB 1733. We simulated three biological replicates from each of two conditions. Three types of differential abundance were introduced between the two conditions, all assigned to genes with estimated TPMs between 0.1 and 1000 in the reference data set (the “eligible” genes):