MultiRes: A frame based error correction module for detecting rare variants and removing sequencing errors from Next Generation Sequencing data The software has been tested for error removal and rare variant detection on Illumina sequencing data from viral populations. The list of files and tools to use for error correction are mentioned below.

A pre-print of the paper is available from http://arxiv.org/abs/1604.04803

Usage Example: For a fasta file : input.fasta MultiRes uses a k-mer counter to count for the following kmer counts : k=35, 23, and 13 Run: perl MultiRes.pl -fas input.fasta -out input.EC.txt

The input.EC.txt will contain error corrected 35-mers for the file input.txt

Parameters: 1. -t : threshold for k-mers that have high confidence of being error free. typically greater than average sequencing coverage

If any questions, contact raunaq@psu.edu