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The impact of FASTQ and alignment read order on structural variant calling from long-read sequencing data.

Kyle J LesackJames D Wasmuth
Published in: PeerJ (2024)
The results of this study highlight the sensitivity of SV calling on the order of reads encoded in FASTQ files, which has not been recognized in long-read approaches. These findings have implications for the replication of SV studies and the development of consistent SV calling protocols. Our study suggests that researchers should pay attention to the input order sensitivity of read alignment sorting methods when analyzing long-read sequencing data for SV calling, as mitigating a source of variability could facilitate future replication work. These results also raise important questions surrounding the relationship between SV caller read order sensitivity and tool performance. Therefore, tool developers should also consider input order sensitivity as a potential source of variability during the development and benchmarking of new and improved methods for SV calling.
Keyphrases
  • single molecule
  • electronic health record
  • single cell
  • big data
  • deep learning