A k-mer based transcriptomics approach for antisense drug discovery targeting the Ewing’s family of tumors-Reference-Cited by-同舟云学术

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A k-mer based transcriptomics approach for antisense drug discovery targeting the Ewing’s family of tumors

Published:2018-07-17 Issue:55 Volume:9 Page:30568-30586
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Annalora Andrew J.¹,O’Neil Shawn²,Bushman Jeremy D.³,Summerton James E.³,Marcus Craig B.¹,Iversen Patrick L.¹⁴

Affiliation:

1. Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USA

2. Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR 97331, USA

3. Onco-Tools, LLC, Philomath, OR 97370, USA

4. LS Pharma, LLC, Grand Junction, CO 81507, USA

Publisher

Impact Journals, LLC

Subject

Oncology

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey of k-mer methods and applications in bioinformatics;Computational and Structural Biotechnology Journal;2024-12

2. Identification of small extracellular vesicle protein biomarkers for pediatric Ewing Sarcoma;Frontiers in Molecular Biosciences;2023-04-13

3. Transcriptome-based design of antisense inhibitors potentiates carbapenem efficacy in CREEscherichia coli;Proceedings of the National Academy of Sciences;2020-11-16

4. Optimisation of cancer classification by machine learning generates an enriched list of candidate drug targets and biomarkers;Molecular Omics;2020

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