|標題:||PEAT: an intelligent and efficient paired-end sequencing adapter trimming algorithm|
Department of Biological Science and Technology
Institude of Bioinformatics and Systems Biology
|摘要:||Background: 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. Results: 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. Conclusions: 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.|
|Appears in Collections:||Articles|
Files in This Item:
If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.