What are the unique challenges and strategies for long-read sequencing data analysis?

Long-read technologies (PacBio, Oxford Nanopore) present unique challenges: 1) High error rates (5-15% vs 0.1% for Illumina) - require specialized error correction using consensus calling (multiple passes in HiFi) or hybrid correction with short reads (LoRDEC, FMLRC). 2) Assembly strategies - overlap-layout-consensus (Canu, Flye) instead of de Bruijn graphs; long reads span repeats enabling more contiguous assemblies. 3) Alignment considerations - minimap2 handles high error rates with appropriate parameters; alignment scoring must tolerate indels. 4) Polish assemblies - use long reads (Racon, Medaka) or short reads (Pilon) to correct consensus errors. 5) Structural variant detection - long reads excel at detecting SVs, insertions, and complex rearrangements. 6) Direct modification detection - nanopore can detect base modifications (methylation) without bisulfite treatment.