Reproducibility of Bioinformatics Tools
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Author / Producer
Date
2022
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
We introduce a fast and scalable method to assess reproducibility of bioinformatics tools. We replace replicates which are cause of data variation by synthetic replicates. To assess reproducibility of bioinformatics tools, we run the tools with two different types of synthetic replicates and compare results obtained from the original data. Results show differences between output obtained from original data and synthetic replicates.
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Publication status
published
Editor
Book title
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Journal / series
Volume
Pages / Article No.
216 - 216
Publisher
IEEE
Event
36th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS 2022)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
reproducibility; technical replicates; in-silico replicates; read-mapping; structural variant calling