Journal
BMC Medical Genomics
Publication Date
3-4-2020
Volume
13
Issue
1
First Page
32
Document Type
Open Access Publication
DOI
10.1186/s12920-020-0671-8
Rights and Permissions
Crowgey, E.L., Mahajan, N., Wong, W.H. et al. Error-corrected sequencing strategies enable comprehensive detection of leukemic mutations relevant for diagnosis and minimal residual disease monitoring. BMC Med Genomics 13, 32 (2020). https://doi.org/10.1186/s12920-020-0671-8 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Recommended Citation
Crowgey, Erin L; Mahajan, Nitin; Wong, Wing Hing; Gopalakrishnapillai, Anilkumar; Barwe, Sonali P; Kolb, E Anders; and Druley, Todd E, "Error-corrected sequencing strategies enable comprehensive detection of leukemic mutations relevant for diagnosis and minimal residual disease monitoring." BMC Medical Genomics. 13, 1. 32 (2020).
https://digitalcommons.wustl.edu/oa_4/459
Figure S1. Bioinformatics utilities for variant detection.
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Figure S2. Schema of error-corrected sequencing molecules.
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Figure S3. Graphical representation of a CNV loss in CBL.
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Figure S4. RNA-ECS is accurate to single transcripts without normalization.
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Table S1. Summary of demographics for the pediatric leukemia samples.
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Table S2. Genes targeted on the DNA and RNA panels.
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Table S3. Structural variants identified via RNA-ECS in primary diagnostic samples.
