Jumper enables discontinuous transcript assembly in coronaviruses

Palash Sashittal; Chuanyi Zhang; Jian Peng; Mohammed El-Kebir

doi:10.1038/s41467-021-26944-y

Nature Communications (Nov 2021)

Jumper enables discontinuous transcript assembly in coronaviruses

Palash Sashittal,
Chuanyi Zhang,
Jian Peng,
Mohammed El-Kebir

Affiliations

Palash Sashittal: Department of Computer Science, University of Illinois at Urbana-Champaign
Chuanyi Zhang: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
Jian Peng: Department of Computer Science, University of Illinois at Urbana-Champaign
Mohammed El-Kebir: Department of Computer Science, University of Illinois at Urbana-Champaign

DOI: https://doi.org/10.1038/s41467-021-26944-y
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 12

Abstract

Read online

@melkebir @psashittal et al. develop a graph-based method for the assembly of discontinuous transcripts produced in Coronaviruses and other Nidovirales, enabling the discovery of transcriptional changes missed by existing methods.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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