PEAR: a fast and accurate Illumina Paired-End reAd mergeR
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 ...Tags: Bioinformatics, pair-end, read, merger, PEAR
2935 days ago
COPE: an accurate k-mer-based pair-end reads connection tool to facilitate genome assembly
An efficient tool called Connecting Overlapped Pair-End (COPE) reads, to connect overlapping pair-end reads using k-mer frequencies. We evaluated our tool on 30× simulated pair-end reads from Arabidopsis thaliana with 1% base error. COPE connected over 99% of reads with 98.8% accuracy, whic...Tags: COPE, accurate, k-mer, pair-end, reads, connection, tool, genome, assembly
2326 days ago