3 比对信息[Alignment Summary]

方法[Method]

原始RNA-seq的reads已经修剪了接头序列，然后使用 cutadapt (v1.10)过滤低质量reads。用 tophat2 (v2.0.13) 将reads与 mm10 参考基因组比对。

Raw RNA-seq reads were trimmed adaptor sequences and removed low-quality reads using cutadapt (v1.10). Reads then were aligned to the mm10 reference genome using tophat2 (v2.0.13).

Table 3.1: 比对质量[Alignment summary]

Sample	Input	Mapped	MapRate	MultMapped	MultMapRate
C1	31233264	23015833	73.69%	350552	1.52%
C2	37661228	30048306	79.79%	485564	1.62%
C3	31190124	24440088	78.36%	409058	1.67%
T1	31184398	23509272	75.39%	362256	1.54%
T2	32449254	24958103	76.91%	405930	1.63%
T3	40280652	31690671	78.67%	532528	1.68%

下载表格[Download original table] : Align_Summary.xls

分列信息[Column Descriptions]

Sample : 样本名[The sample Name/ID]
Input : 用于比对的高质量reads总数[Total number of clean reads used for alignment]
Mapped : 比对到参考基因组的reads数[Number of reads being aligned to reference genome]
MapRate : 比对率[The mapping rate] (=Mapped/Input)
MultMapped : 参考基因组上 \(\geq 1\) 命中的 reads 数量[Number of reads have \(\geq 1\) hits on reference genome]
MultMapRate : 多重比对率[The multiple-mapped rate (=MultMapped/Input)

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