<p>Characterizing structural variants in AML using short and long read sequencing technologies</p>

Cheng Yong Tham; Daniel G. Tenen; Touati Benoukraf

doi:10.7490/f1000research.1114060.1

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Tham CY, Tenen DG and Benoukraf T. Characterizing structural variants in AML using short and long read sequencing technologies [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):709 (poster) (https://doi.org/10.7490/f1000research.1114060.1)

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Characterizing structural variants in AML using short and long read sequencing technologies

Cheng Yong Tham, Daniel G. Tenen, Touati Benoukraf¹

Published 17 May 2017 (https://doi.org/10.7490/f1000research.1114060.1)

Author Affiliations

¹ Cancer Science Institute of Singapore, Singapore

Copyright © 2017 Tham CY et al. 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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Published 17 May 2017

Characterizing structural variants in AML using short and long read sequencing technologies
[version 1; not peer reviewed]

Cheng Yong Tham, Daniel G. Tenen, Touati Benoukraf¹

Author Affiliations

¹ Cancer Science Institute of Singapore, Singapore

Presented at

Great Lakes Bioinformatics (GLBIO) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Structural variants, SV, acute myeloid leukemia, AML, NGS, long read, oxford nanopore, ONT, chromosomal abnormalities

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