Optimal compressed representation of high throughput sequence data via light assembly

Increase in high throughput sequencing (HTS) data warrants compression methods to facilitate better storage and communication. Here, Ginart et al. introduce Assembltrie, a reference-free compression tool which is guaranteed to achieve optimality for error-free reads.

Bibliographic Details
Main Authors:	Antonio A. Ginart, Joseph Hui, Kaiyuan Zhu, Ibrahim Numanagić, Thomas A. Courtade, S. Cenk Sahinalp, David N. Tse
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-017-02480-6

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spelling	doaj-b186eeb7b1ee4de1983ef5679b01c1db2021-05-11T10:15:44ZengNature Publishing GroupNature Communications2041-17232018-02-01911910.1038/s41467-017-02480-6Optimal compressed representation of high throughput sequence data via light assemblyAntonio A. Ginart0Joseph Hui1Kaiyuan Zhu2Ibrahim Numanagić3Thomas A. Courtade4S. Cenk Sahinalp5David N. Tse6Department of Electrical Engineering, Stanford UniversityDepartment of Electrical Engineering & Computer Science, Massachusetts Institute of TechnologyDepartment of Computer Science, Indiana University BloomingtonComputer Science & Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyDepartment of Electrical Engineering and Computer Sciences, University of CaliforniaDepartment of Computer Science, Indiana University BloomingtonDepartment of Electrical Engineering, Stanford UniversityIncrease in high throughput sequencing (HTS) data warrants compression methods to facilitate better storage and communication. Here, Ginart et al. introduce Assembltrie, a reference-free compression tool which is guaranteed to achieve optimality for error-free reads.https://doi.org/10.1038/s41467-017-02480-6
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Antonio A. Ginart Joseph Hui Kaiyuan Zhu Ibrahim Numanagić Thomas A. Courtade S. Cenk Sahinalp David N. Tse
spellingShingle	Antonio A. Ginart Joseph Hui Kaiyuan Zhu Ibrahim Numanagić Thomas A. Courtade S. Cenk Sahinalp David N. Tse Optimal compressed representation of high throughput sequence data via light assembly Nature Communications
author_facet	Antonio A. Ginart Joseph Hui Kaiyuan Zhu Ibrahim Numanagić Thomas A. Courtade S. Cenk Sahinalp David N. Tse
author_sort	Antonio A. Ginart
title	Optimal compressed representation of high throughput sequence data via light assembly
title_short	Optimal compressed representation of high throughput sequence data via light assembly
title_full	Optimal compressed representation of high throughput sequence data via light assembly
title_fullStr	Optimal compressed representation of high throughput sequence data via light assembly
title_full_unstemmed	Optimal compressed representation of high throughput sequence data via light assembly
title_sort	optimal compressed representation of high throughput sequence data via light assembly
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-02-01
description	Increase in high throughput sequencing (HTS) data warrants compression methods to facilitate better storage and communication. Here, Ginart et al. introduce Assembltrie, a reference-free compression tool which is guaranteed to achieve optimality for error-free reads.
url	https://doi.org/10.1038/s41467-017-02480-6
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Optimal compressed representation of high throughput sequence data via light assembly

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