BBMerge – Accurate paired shotgun read merging via overlap

Merging paired-end shotgun reads generated on high-throughput sequencing platforms can substantially improve various subsequent bioinformatics processes, including genome assembly, binning, mapping, annotation, and clustering for taxonomic analysis. With the inexorable growth of sequence data volume and CPU core counts, the speed and scalability of read-processing tools becomes ever-more important. The accuracy of shotgun read merging is crucial as well, as errors introduced by incorrect merging percolate through to reduce the quality of downstream analysis. Thus, we designed a new tool to maximize accuracy and minimize processing time, allowing the use of read merging on larger datasets, and in analyses…

• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, Contract No. DE-AC02-05CH11231, 05CH11231, No. DE-AC02-05CH11231, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-AC02-
• JG
  Joint Genome Institute

  Awards: DE-AC02-05CH11231, AC02-05CH11231
• OO
  Office of Science

  Awards: AC02-05CH11231, -AC02-05CH11231, DE-AC02, No. DE-AC02-05CH11231, Contract No. DE-AC02-05CH11231