PEAR is an ultrafast, memory-efficient and highly accurate pair-end read merger. It is fully parallelized and can run with as low as just a few kilobytes of memory.
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.
Version 0.9.11. Freely available for users.
PEAR is distributed under the Creative Commons license.
Initialize module with command:
module add pear-0.9.11 pear --help
Documentation is available on https://sco.h-its.org/exelixis/web/software/pear/doc.html