Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash

The source code for BisHash and the test procedures for benchmarking aligners using simulated data are publicly accessible at https://github.com/hnikaein/bisHash.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf144
Primary Topic
Caching and Content Delivery
Type
article
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article

Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash

Hassan Nikaein, Ali Sharifi‐Zarchi
Bioinformatics Advances
Caching and Content Delivery
article

Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash

Hassan Nikaein, Ali Sharifi‐Zarchi
article en

Abstract

The source code for BisHash and the test procedures for benchmarking aligners using simulated data are publicly accessible at https://github.com/hnikaein/bisHash.

Bioinformatics AdvancesVol. 5(1)
Sharif University of Technology (IR)
Openalex Percentile: Top 64%
Caching and Content Delivery
DOIOpen Access PDFOpenAlex
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Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash — Hassan Nikaein, Ali Sharifi‐Zarchi · Bioinformatics Advances (2024) | TGRS Research Map | TGRS