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- Schatz, Michael C., et al. Show all 2 Author
- Genome biology 2015 v.16 no.1 pp. 207
- algorithms; computer software; genome; genome assembly; guidelines
- ... Genome assembly projects typically run multiple algorithms in an attempt to find the single best assembly, although those assemblies often have complementary, if untapped, strengths and weaknesses. We present our metassembler algorithm that merges multiple assemblies of a genome into a single superior sequence. We apply it to the four genomes from the Assemblathon competitions and show it consiste ...
- Schatz, Michael C., et al. Show all 5 Authors
- Genome biology 2015 v.16 no.1 pp. 235
- algorithms; computer software; data collection; genome; mutation; quantitative analysis
- ... Mapping reads to a genome remains challenging, especially for non-model organisms with lower quality assemblies, or for organisms with higher mutation rates. While most research has focused on speeding up the mapping process, little attention has been paid to optimize the choice of mapper and parameters for a user’s dataset. Here, we present Teaser, a software that assists in these choices through ...