Near-optimal probabilistic RNA-seq quantification
Near-optimal probabilistic RNA-seq quantification
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DOI：
10.1038/nbt.3519
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发表时间：
2016-05-01
影响因子：
46.9
通讯作者：
Pachter, Lior
中科院分区：
文献类型：
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作者：
Bray, Nicolas L.;Pimentel, Harold;Pachter, Lior
我们提出了kallisto，一个RNA-seq定量程序，比以前的方法快两个数量级，并达到相似的精度。Kallisto伪比对读取到参考，产生与每个读取兼容的转录本列表，同时避免对单个碱基进行比对。我们使用kallisto分析了3000万个未对齐的成对末端rna序列
We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in