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PEAR: a fast and accurate Illumina Paired-End reAd mergeR
Author(s) -
Jiajie Zhang,
Kassian Kobert,
Tomáš Flouri,
Alexandros Stamatakis
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt593
Subject(s) - computer science , pear , software , merge (version control) , fragment (logic) , algorithm , parallel computing , operating system , world wide web
The Illumina paired-end sequencing technology can generate reads from both ends of target DNA fragments, which can subsequently be merged to increase the overall read length. There already exist tools for merging these paired-end reads when the target fragments are equally long. However, when fragment lengths vary and, in particular, when either the fragment size is shorter than a single-end read, or longer than twice the size of a single-end read, most state-of-the-art mergers fail to generate reliable results. Therefore, a robust tool is needed to merge paired-end reads that exhibit varying overlap lengths because of varying target fragment lengths.

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