2015
DOI: 10.1038/nmeth.3317
|View full text |Cite
|
Sign up to set email alerts
|

HISAT: a fast spliced aligner with low memory requirements

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 r… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

5
11,896
1
11

Year Published

2016
2016
2020
2020

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 16,234 publications
(11,969 citation statements)
references
References 16 publications
5
11,896
1
11
Order By: Relevance
“…Reads were trimmed to the end if the mean Phred of a four nucleotide sliding window was less than 30 and only reads satisfying the minimum length of 20 nucleotides were allowed to survive. Reads surviving as a pair were aligned to reference genomes in a paired-end fashion using HISAT2 v2.1.0 [85], suppressing alignments resulting in fragments longer than 1000 nucleotides. Orphan R1 and R2 sequences from paired-end libraries and those coming from single-end runs were aligned using the single-end mode.…”
Section: Methodsmentioning
confidence: 99%
“…Reads were trimmed to the end if the mean Phred of a four nucleotide sliding window was less than 30 and only reads satisfying the minimum length of 20 nucleotides were allowed to survive. Reads surviving as a pair were aligned to reference genomes in a paired-end fashion using HISAT2 v2.1.0 [85], suppressing alignments resulting in fragments longer than 1000 nucleotides. Orphan R1 and R2 sequences from paired-end libraries and those coming from single-end runs were aligned using the single-end mode.…”
Section: Methodsmentioning
confidence: 99%
“…For identification of exogenic transcripts, we aligned reads on the mm9 genome using HISAT2 60 with the option to authorize splicing events. From these alignments, we count the number of reads in sliding windows of 1kb (with a step of 600nt) taking each strand of the genome as separate.…”
Section: On-line Methodsmentioning
confidence: 99%
“…Libraries were made using the protocol of Zhong et al (2011) and sequenced using the Illumina NextSeq 500 to obtain single-end 75 bp reads. Reads were aligned to the 12X.2 version of the grapevine reference genome PN40024 using HISAT2 (Kim et al 2015) and the transcriptome was assembled using StringTie with the CRIBI functional annotation (Vitulo et al 2014). Transcribed genes were analyzed by fitting a linear model y = Xb + using Ballgown (Frazee et al 2015) where y was a vector holding the log 2 (FPKM + 1) values of genes with FPKM (Fragments Per Kilobase of transcript per Million reads sequenced) variances greater than one for each genotype; X was a design matrix that contained the indicator variables for the intercept and the genotypephase grouping; b was a vector holding the mean and the effect of the group value; and ∼ N(0, I 2 ) was a vector holding the error.…”
Section: Rna-seq Experimental Design and Analysismentioning
confidence: 99%