Rapid and accurate alignment of nucleotide conversion sequencing reads with HISAT-3N

Yun Zhang(The University of Texas Southwestern Medical Center), Chanhee Park(The University of Texas Southwestern Medical Center), Christopher Bennett(The University of Texas Southwestern Medical Center), Micah Thornton(The University of Texas Southwestern Medical Center), Daehwan Kim(The University of Texas Southwestern Medical Center)
Genome Research
June 8, 2021
Cited by 374Open Access
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Abstract

Sequencing technologies using nucleotide conversion techniques such as cytosine to thymine in bisulfite-seq and thymine to cytosine in SLAM seq are powerful tools to explore the chemical intricacies of cellular processes. To date, no one has developed a unified methodology for aligning converted sequences and consolidating alignment of these technologies in one package. In this paper, we describe hierarchical indexing for spliced alignment of transcripts–3 nucleotides (HISAT-3N), which can rapidly and accurately align sequences consisting of any nucleotide conversion by leveraging the powerful hierarchical index and repeat index algorithms originally developed for the HISAT software. Tests on real and simulated data sets show that HISAT-3N is faster than other modern systems, with greater alignment accuracy, higher scalability, and smaller memory requirements. HISAT-3N therefore becomes an ideal aligner when used with converted sequence technologies.


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