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HISAT: a fast spliced aligner with low memory requirements

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TLDR
Tests showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method, and requires only 4.3 gigabytes of memory.
Abstract
HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.

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Citations
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Journal ArticleDOI

Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

TL;DR: This work presents a method named HISAT2 (hierarchical indexing for spliced alignment of transcripts 2) that can align both DNA and RNA sequences using a graph Ferragina Manzini index, and uses it to represent and search an expanded model of the human reference genome.
Journal ArticleDOI

Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

TL;DR: This protocol describes all the steps necessary to process a large set of raw sequencing reads and create lists of gene transcripts, expression levels, and differentially expressed genes and transcripts.
Journal ArticleDOI

A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease

TL;DR: A novel microglia type associated with neurodegenerative diseases (DAM) is described and it is revealed that the DAM program is activated in a two-step process that involves downregulation of microglian checkpoints, followed by activation of a Trem2-dependent program.
Journal ArticleDOI

Shifting the limits in wheat research and breeding using a fully annotated reference genome

Rudi Appels, +207 more
- 17 Aug 2018 - 
TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
Journal ArticleDOI

The GTEx Consortium atlas of genetic regulatory effects across human tissues

François Aguet, +167 more
- 01 Jan 2020 - 
References
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Journal ArticleDOI

Fast gapped-read alignment with Bowtie 2

TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

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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Mapping and quantifying mammalian transcriptomes by RNA-Seq.

TL;DR: Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors.
Journal ArticleDOI

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

TL;DR: TopHat2 is described, which incorporates many significant enhancements to TopHat, and combines the ability to identify novel splice sites with direct mapping to known transcripts, producing sensitive and accurate alignments, even for highly repetitive genomes or in the presence of pseudogenes.
Journal ArticleDOI

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

TL;DR: This protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results, which takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
Related Papers (5)
Trending Questions (1)
Transcriptome soft is STAR or HISAT2 ?

The paper does not mention HISAT2. It only mentions HISAT as a highly efficient system for aligning reads from RNA sequencing experiments.