<p>DTUrtle – Differential transcript usage analysis for bulk and single-cell data</p>

Tobias Tekath; Martin Dugas

doi:10.7490/f1000research.1118154.1

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Tekath T and Dugas M. DTUrtle – Differential transcript usage analysis for bulk and single-cell data [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):861 (poster) (https://doi.org/10.7490/f1000research.1118154.1)

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DTUrtle – Differential transcript usage analysis for bulk and single-cell data

Tobias Tekath¹, Martin Dugas

Published 31 Jul 2020 (https://doi.org/10.7490/f1000research.1118154.1)

Author Affiliations

¹ Institute of Medical Informatics, University of Muenster, Germany

Copyright © 2020 Tekath T and Dugas M. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 31 Jul 2020

DTUrtle – Differential transcript usage analysis for bulk and single-cell data
[version 1; not peer reviewed]

Tobias Tekath¹, Martin Dugas

Author Affiliations

¹ Institute of Medical Informatics, University of Muenster, Germany

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

DTU, differential transcript usage, DTUrtle, dturtle, isoform, rna, transcription, alternative splicing, ngs analysis, single-cell, single cell, RNA-seq, RNA seq

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