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PEAR

Table of Contents

Introduction

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.

Restrictions / License Information

PEAR is distributed under the Creative Commons license.

Running Instructions

 

For More Information

System Jasper
Version 0.9.6