Nucleic Acids Research · 2016 · 590 citations · 24 references
Life SciencesBioinformaticsGeneticsGenome AssemblyGenomic Data AnalysisGenomicsContig ConstructionDe Novo Genome AssemblyGenome SequencingHaplotype-resolved AssemblySequence AssemblyShort-read AssemblyGene Copy Number AnalysisGene Copy Number EffectsHeterozygosity HandlingHomologous ChromosomesPipeline OptimizationSynteny
Many genomes display high levels of heterozygosity (i.e. presence of different alleles at the same loci in homologous chromosomes), being those of hybrid organisms an extreme such case. The assembly of highly heterozygous genomes from short sequencing reads is a challenging task because it is difficult to accurately recover the different haplotypes. When confronted with highly heterozygous genomes, the standard assembly process tends to collapse homozygous regions and reports heterozygous regions in alternative contigs. The boundaries between homozygous and heterozygous regions result in multiple assembly paths that are hard to resolve, which leads to highly fragmented assemblies with a total size larger than expected. This, in turn, causes numerous problems in downstream analyses such as fragmented gene models, wrong gene copy number, or broken synteny. To circumvent these caveats we have developed a pipeline that specifically deals with the assembly of heterozygous genomes by introducing a step to recognise and selectively remove alternative heterozygous contigs. We tested our pipeline on simulated and naturally-occurring heterozygous genomes and compared its accuracy to other existing tools. Our method is freely available at https://github.com/Gabaldonlab/redundans.
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Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 62.8K citations · Full text
Initial sequencing and analysis of the human genome
Eric S. Lander, Lauren Linton, Bruce W. Birren et al. · Nature · 2001 · 24.6K citations · Full text
Fast and accurate long-read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2010 · 12.9K citations · Full text