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

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 sequenc...

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Detalles Bibliográficos
Autores principales: Liu, Bo, Liu, Yadong, Li, Junyi, Guo, Hongzhe, Zang, Tianyi, Wang, Yadong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913027/
https://www.ncbi.nlm.nih.gov/pubmed/31842925
http://dx.doi.org/10.1186/s13059-019-1895-9
Descripción
Sumario: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.