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Open AccessJournal ArticleDOI

Minimap2: pairwise alignment for nucleotide sequences

Heng Li
- 15 Sep 2018 - 
- Vol. 34, Iss: 18, pp 3094-3100
TLDR
Minimap2 is a general-purpose alignment program to map DNA or long mRNA sequences against a large reference database and is 3-4 times as fast as mainstream short-read mappers at comparable accuracy, and is ≥30 times faster than long-read genomic or cDNA mapper at higher accuracy, surpassing most aligners specialized in one type of alignment.
Abstract
Motivation Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length. Existing alignment programs are unable or inefficient to process such data at scale, which presses for the development of new alignment algorithms. Results Minimap2 is a general-purpose alignment program to map DNA or long mRNA sequences against a large reference database. It works with accurate short reads of ≥100 bp in length, ≥1 kb genomic reads at error rate ∼15%, full-length noisy Direct RNA or cDNA reads and assembly contigs or closely related full chromosomes of hundreds of megabases in length. Minimap2 does split-read alignment, employs concave gap cost for long insertions and deletions and introduces new heuristics to reduce spurious alignments. It is 3-4 times as fast as mainstream short-read mappers at comparable accuracy, and is ≥30 times faster than long-read genomic or cDNA mappers at higher accuracy, surpassing most aligners specialized in one type of alignment. Availability and implementation https://github.com/lh3/minimap2. Supplementary information Supplementary data are available at Bioinformatics online.

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Citations
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Journal ArticleDOI

Improved reference genome of Aedes aegypti informs arbovirus vector control

Benjamin J. Matthews, +87 more
- 14 Nov 2018 - 
TL;DR: An improved, fully re-annotated Aedes aegypti genome assembly (AaegL5) provides insights into the sex-determining M locus, chemosensory systems that help mosquitoes to hunt humans and loci involved in insecticide resistance and will help to generate intervention strategies to fight this deadly disease vector.
Posted ContentDOI

Transcriptome assembly from long-read RNA-seq alignments with StringTie2

TL;DR: StringTie2 is a reference-guided transcriptome assembler that works with both short and long reads and includes new computational methods to handle the high error rate of long-read sequencing technology, which previous assemblers could not tolerate.
Journal ArticleDOI

NextPolish: a fast and efficient genome polishing tool for long-read assembly.

TL;DR: NextPolish is a tool that efficiently corrects sequence errors in genomes assembled with long reads by consisting of two interlinked modules designed to score and count K-mers from high quality short reads, and to polish genome assemblies containing large numbers of base errors.
Journal ArticleDOI

Piercing the dark matter: bioinformatics of long-range sequencing and mapping

TL;DR: This Review discusses bioinformatics tools that have been devised to handle the numerous characteristic features of these long-range data types, with applications in genome assembly, genetic variant detection, haplotype phasing, transcriptomics and epigenomics.
Journal ArticleDOI

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

TL;DR: This work presents RaGOO, a reference-guided contig ordering and orienting tool that leverages the speed and sensitivity of Minimap2 to accurately achieve chromosome-scale assemblies in minutes and demonstrates the scalability and utility of the tool.
References
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TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
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TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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