Identification of Factors that Affect Reproducibility of Mutation Calling Methods in Data Originating from the Next-Generation Sequencing-Reference-Cited by-同舟云学术

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Identification of Factors that Affect Reproducibility of Mutation Calling Methods in Data Originating from the Next-Generation Sequencing

Published:2018 Issue: Volume: Page:264-271
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Jaksik Roman^ORCID,Psiuk-Maksymowicz Krzysztof^ORCID,Swierniak Andrzej

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00840-6_29

Reference18 articles.

1. Luo, J., Wu, M., Gopukumar, D., Zhao, Y.: Big data application in biomedical research and health care: a literature review. Biomed. Inf. Insights 8, 1–10 (2016)

2. Studies in Computational Intelligence;W Bensz,2016

3. Communications in Computer and Information Science;K Psiuk-Maksymowicz,2016

4. Afgan, E., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Cech, M., Chilton, J.: The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Res. 44(W1), W3–W10 (2016)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);K Psiuk-Maksymowicz,2017

Cited by 2 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. BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data;Advances in Intelligent Systems and Computing;2019-08-23

2. Statistical inference for the evolutionary history of cancer genomes;2019-08-01

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