TY - DATA T1 - Software and supporting material for "LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads" AU - Warren, René L. AU - Yang, Chen AU - Vandervalk, Benjamin P. AU - Behsaz, Bahar AU - Lagman, Albert AU - Jones, Steven J.M. AU - Inanc Birol DO - 10.5524/100159 UR - http://gigadb.org/dataset/100159 AB - Owing to the complexity of the assembly problem, we do not yet have complete genome sequences. The difficulty in assembling reads into finished genomes is exacerbated by sequence repeats and the inability of short reads to capture sufficient genomic information to resolve those problematic regions. In this regard, established and emerging long read technologies show great promise, but their current associated higher error rates typically require computational base correction and/or additional bioinformatics pre-processing before they can be of value. We present LINKS, the Long Interval Nucleotide K-mer Scaffolder algorithm, a method that makes use of the sequence properties of nanopore sequence data and other error-containing sequence data, to scaffold high-quality genome assemblies, without the need for read alignment or base correction. Here, we show how the contiguity of an ABySS Escherichia coli K-12 genome assembly can be increased greater than five-fold by the use of beta-released Oxford Nanopore Technologies Ltd. long reads and how LINKS leverages long-range information in Saccharomyces cerevisiae W303 nanopore reads to yield assemblies whose resulting contiguity and correctness are on par with or better than that of competing applications. We also present the re-scaffolding of the colossal white spruce (Picea glauca) draft assembly (PG29, 20 Gbp) and demonstrate how LINKS scales to larger genomes. KW - Software KW - Genomic PY - 2015 PB - GigaScience Database LA - en ER -