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Structural variation detection with read pair information — An improved null-hypothesis reduces bias
Kristoffer Sahlin, Mattias Frånberg, View ORCID ProfileLars Arvestad
doi: https://doi.org/10.1101/036707
Kristoffer Sahlin
1KTH Royal Institute of Technology, Science for Life Laboratory, School of Computer Science and Communication, Stockholm, Sweden.
Mattias Frånberg
2Atherosclerosis Research Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
3Department of Numerical Analysis and Computer Science, Stockholm University, Stockholm, Sweden.
Lars Arvestad
3Department of Numerical Analysis and Computer Science, Stockholm University, Stockholm, Sweden.
4Swedish e-Science Research Centre (SeRC)
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Posted January 14, 2016.
Structural variation detection with read pair information — An improved null-hypothesis reduces bias
Kristoffer Sahlin, Mattias Frånberg, Lars Arvestad
bioRxiv 036707; doi: https://doi.org/10.1101/036707
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