Published April 13, 2023
| Version 1
Dataset
Open
The energy landscape for R-loop formation by the CRISPR-Cas Cascade complex - Minimal Dataset
Authors/Creators
- 1. Peter Debye Institute for Soft Matter Physics, Universität Leipzig, Leipzig 04103, Germany
Description
Minimal Dataset for "The energy landscape for R-loop formation by the CRISPR-Cas Cascade complex", published at NSMB.
Notes
Files
T0.zip
Files
(12.0 GB)
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md5:ba6bcf6ce8a0e706f4ffb1d4b0394637
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346.3 MB | Preview Download |
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md5:827c9e1250aa891e4b7464b4e554b5e4
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md5:ffa98b55389f7170c9ab559885b1a6f8
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212.1 MB | Preview Download |
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md5:93068223ccd98e962954c628b5afe5b0
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1.0 GB | Preview Download |
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md5:508a6367fa52e052dd78bb047008a6c8
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489.0 MB | Preview Download |
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md5:670f8553b4d539c75a0ef98ddf1a1d50
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704.6 MB | Preview Download |
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md5:22141b3bd29044035198b26e806f3d55
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282.1 MB | Preview Download |
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md5:2162f8425c4ff208fa3e55978c3d594c
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466.5 MB | Preview Download |
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md5:4fecf481220337f0376ca09e9cb76107
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373.7 MB | Preview Download |
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md5:4679a398f4e031699a4e82a611c1facb
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271.7 MB | Preview Download |
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md5:522cd61a77a4627693876cd5329aa5ea
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576.1 MB | Preview Download |
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md5:f4fd2fe0ee4d21fc7d207e6fa110c451
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505.9 MB | Preview Download |
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md5:9313e513c12cd1374f0c57027108ab90
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473.7 MB | Preview Download |
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md5:df344db91c5f0fd7e949762f9373784a
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98.1 MB | Preview Download |
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md5:d89e8f7f36ced8ad58ce78351646ec7d
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281.0 MB | Preview Download |
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md5:2eb9cbe6627400cd1358254284839a9e
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427.5 MB | Preview Download |
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md5:1f12c365de2b75324f04b2ec6dac9303
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117.0 MB | Preview Download |
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md5:558ec523113fd185621f905c1124f1ed
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254.5 MB | Preview Download |
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md5:743e99a784d215d8e38c2819e6787e96
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126.5 MB | Preview Download |
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md5:f4d95ee7d4fde131de3922ae318aa807
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316.6 MB | Preview Download |
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md5:000ff0d4ef8683a28f05bab5857981f6
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758.3 MB | Preview Download |
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md5:0cc047434785483311d5f05d96a6798a
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344.4 MB | Preview Download |
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md5:1a2e3ffe2e5740589ba93f3c7655cc4c
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312.1 MB | Preview Download |
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md5:3e35b860985e8399ad4bd111b0d375d6
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167.3 MB | Preview Download |
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md5:efe5142ce3247cf2b9f77b476b0abbf3
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175.2 MB | Preview Download |
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md5:d80f5e6cc30435f329bb6c088d380953
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145.8 MB | Preview Download |
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md5:a1d4ee4d0cd0553b587c1c79a7d58329
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276.1 MB | Preview Download |
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md5:c87082f6a90ea2e9e7e5b1a76a6313e0
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1.2 GB | Preview Download |
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md5:30548d335a25b844e49568643d296ae3
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369.7 MB | Preview Download |
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md5:e7f4dfd899ecff5e32c50e8da6ff5126
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404.8 MB | Preview Download |
Additional details
Related works
- Is new version of
- Preprint: 10.1101/2023.03.17.533087 (DOI)