An updated version of PEAR is released.
- Added --version options
- Fixed minor error when loading bzip files
- Lowered autotools version
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.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
An updated version of PEAR is released.
A basic version of the PEAR manual was added to the website.
The first version of PEAR is finally available. It is available as a standalone library and in source code format.