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Snaptron: querying and visualizing splicing across tens of thousands of RNA-seq samples
Christopher Wilks, Phani Gaddipati, Abhinav Nellore, View ORCID ProfileBen Langmead
doi: https://doi.org/10.1101/097881
Christopher Wilks
1Department of Computer Science, Johns Hopkins University
2Center for Computational Biology, Johns Hopkins University
Phani Gaddipati
3Department of Biomedical Engineering, Johns Hopkins University
Abhinav Nellore
4Department of Biomedical Engineering, Oregon Health & Science University
5Department of Surgery, Oregon Health & Science University
6Computational Biology Program, Oregon Health & Science University
Ben Langmead
1Department of Computer Science, Johns Hopkins University
2Center for Computational Biology, Johns Hopkins University
7Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
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Posted January 09, 2017.
Snaptron: querying and visualizing splicing across tens of thousands of RNA-seq samples
Christopher Wilks, Phani Gaddipati, Abhinav Nellore, Ben Langmead
bioRxiv 097881; doi: https://doi.org/10.1101/097881
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