What it does
PEAR is an ultrafast, memory-efficient and highly accurate pair-end read merger. PEAR evaluates all possible paired-end read overlaps and without requiring the target fragment size as input. In addition, it implements a statistical test for minimizing false-positive results. Together with a highly optimized implementation, it can merge millions of paired end reads within a couple of minutes on a standard desktop computer.
Please note that PEAR is released under the [CC Attribution-NonCommercial-ShareAlike](https://creativecommons.org/licenses/by-nc-sa/3.0/) license and that commercial partners should obtain a license.