deSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index.

Genome Biol

Center for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.

Published: December 2019

AI Article Synopsis

  • Long-read RNA sequencing alignment is challenging due to high error rates and complex gene structures, necessitating advanced methods.* -
  • The proposed method, called deSALT, utilizes a two-pass alignment technique with graph-based skeletons to improve exon inference and refine alignments.* -
  • Benchmarks show deSALT outperforms existing methods by producing more accurate full-length alignments and is available on GitHub for access.*

Article Abstract

The alignment of long-read RNA sequencing reads is non-trivial due to high sequencing errors and complicated gene structures. We propose deSALT, a tailored two-pass alignment approach, which constructs graph-based alignment skeletons to infer exons and uses them to generate spliced reference sequences to produce refined alignments. deSALT addresses several difficult technical issues, such as small exons and sequencing errors, which break through bottlenecks of long RNA-seq read alignment. Benchmarks demonstrate that deSALT has a greater ability to produce accurate and homogeneous full-length alignments. deSALT is available at: https://github.com/hitbc/deSALT.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913027PMC
http://dx.doi.org/10.1186/s13059-019-1895-9DOI Listing

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