EconPapers    
Economics at your fingertips  
 

Publisher Correction: Optimal compressed representation of high throughput sequence data via light assembly

Antonio A. Ginart, Joseph Hui, Kaiyuan Zhu (), Ibrahim Numanagić, Thomas A. Courtade, S. Cenk Sahinalp () and David N. Tse
Additional contact information
Antonio A. Ginart: Stanford University
Joseph Hui: Massachusetts Institute of Technology
Kaiyuan Zhu: Indiana University Bloomington
Ibrahim Numanagić: Massachusetts Institute of Technology
Thomas A. Courtade: University of California
S. Cenk Sahinalp: Indiana University Bloomington
David N. Tse: Stanford University

Nature Communications, 2018, vol. 9, issue 1, 1-1

Abstract: The original version of this Article contained errors in the affiliations of the authors Ibrahim Numanagić and Thomas A. Courtade, which were incorrectly given as ‘Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA’ and ‘Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA’, respectively. Also, the hyperlink for the source code in the Data Availability section was incorrectly given as https://github.iu.edu/kzhu/assembltrie , which links to a page that is not publicly accessible. The source code is publicly accessible at https://github.com/kyzhu/assembltrie . Furthermore, in the PDF version of the Article, the right-hand side of Figure 3 was inadvertently cropped. These errors have now been corrected in both the PDF and HTML versions of the Article.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-018-03711-0 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03711-0

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-03711-0

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03711-0