PEAT: an intelligent and efficient paired-end sequencing adapter trimming algorithm.
PEAT: an intelligent and efficient paired-end sequencing adapter trimming algorithm.
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DOI:
10.1186/1471-2105-16-s1-s2
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发表时间:
2015
影响因子:
3
通讯作者:
Hung JH
中科院分区:
文献类型:
--
作者:
Li YL;Weng JC;Hsiao CC;Chou MT;Tseng CW;Hung JH
In modern paired-end sequencing protocols short DNA fragments lead to adapter-appended reads. Current paired-end adapter removal approaches trim adapter by scanning the fragment of adapter on the 3' end of the reads, which are not competent in some applications. Here, we propose a fast and highly accurate adapter-trimming algorithm, PEAT, designed specifically for paired-end sequencing. PEAT requires no a priori adaptor sequence, which is convenient for large-scale meta-analyses. We assessed the performance of PEAT with many adapter trimmers in both simulated and real life paired-end sequencing libraries. The importance of adapter trimming was exemplified by the influence of the downstream analyses on RNA-seq, ChIP-seq and MNase-seq. Several useful guidelines of applying adapter trimmers with aligners were suggested. PEAT can be easily included in the routine paired-end sequencing pipeline. The executable binaries and the standalone C++ source code package of PEAT are freely available online.