R data objects for the HumanDEU package
Description
This submission contains several R data objects that are part of the R package HumanDEU available through Github (https://github.com/areyesq89/HumanTissuesDEU). The objects correspond to processed data needed to reproduce the statistics, tables and figures presented in the manuscript:
A Reyes and W Huber. Alternative start and termination sites of transcription drive most transcript isoform differences across human tissues. Nucleic Acids Research, 2017. doi: https://www.doi.org/10.1093/nar/gkx1165
For more details, please visit the Github repository.
Files
Files
(9.7 GB)
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md5:e282833f048d7525a33fc0fba25eff2a
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1.2 MB | Download |
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md5:e44152e613f6047c99b3bc18d09f61bd
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938.8 MB | Download |
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md5:f1f4bd8dc5c36ae5e96cd982f45c1923
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1.2 GB | Download |
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md5:d7f19d13c4050c93f53e8e9a5d2c29b1
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979.5 MB | Download |
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md5:e83df866fd6573f2feb183971cdf8ca5
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953.3 MB | Download |
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md5:58afd3299c2ddfba1bdaa7c129d2a5af
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1.2 GB | Download |
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md5:ee304ee02628f47537a8a1914ed15228
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995.2 MB | Download |
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md5:95ac0ca978279fa3473b37af5f5f4901
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1.2 GB | Download |
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md5:658d31b7d5cb87474efab6c14eb560b8
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674.2 MB | Download |
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md5:e6ce0ff4711af59b351d2190689aa779
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1.1 GB | Download |
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md5:2200f7428a98d22ab17dc9e10a334aa8
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263.8 MB | Download |
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md5:12b07055b2795f74a870a09c42a4410c
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200.1 kB | Download |
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md5:d103d6b51c44333995b9fe406c9928fa
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882.3 kB | Download |
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md5:32e21aaf33ad44659d524faf7e1906f1
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4.4 MB | Download |
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md5:eca4ba830cc6e2c6bdc9644fbbb72ac5
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90.3 MB | Download |
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md5:bd08cdec6fd05020f800213633b80418
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4.6 MB | Download |
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md5:45422c0d0e256211986c69382134eb47
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4.3 MB | Download |
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md5:55a0cea4497a6d8aa4ddd293dcd6fa1a
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4.7 MB | Download |
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md5:b042113bb44097c127323926100058ce
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77.3 MB | Download |
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md5:a5ceb2a2442745143f1c68d9212dbe99
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2.3 MB | Download |
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md5:63dd39b8700ff43edcc42946515749c8
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1.9 MB | Download |
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md5:3eb60c5da772e5b5caf64d17265405e5
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79.4 MB | Download |
Additional details
References
- A Reyes and W Huber. Alternative start and termination sites of transcription drive most transcript isoform differences across human tissues. Nucleic Acids Research, 2017. doi: https://www.doi.org/10.1093/nar/gkx1165