Evaluating nanopore sequencing data processing pipelines for structural variation identification
Evaluating nanopore sequencing data processing pipelines for structural variation identification
Structural variations (SVs) account for about 1% of the differences among human genomes and play a significant role in phenotypic variation and disease susceptibility. The emerging nanopore sequencing technology can generate long sequence reads and can potentially provide accurate SV identification.