Computational Analysis of Two-dimensional High-throughput Data from Large-scale RNAi Screens and Single-cell Transcriptomics
Authors/Creators
- 1. Department of Cellular and Molecular Medicine, Institute of genomic Medicine, Universityo of California San Diego, La Jolla, CA 92093
- 2. Department of Mathematics, Department of Cognitive Science, University of California San Diego, CA 92093
Description
This publication provides a singularity definition file to reproduce the computational environment along with the scripts to reproduce every figure or table in the revised manuscript using ZetaSuite Perl module and R package.
First, generate a new folder and then download all the files into the folder.
Then, uncompressed the files DataSets_part1.tar.gz,DataSets_part2.tar.gz,DataSets_part3.tar.gz,DataSets_part4.tar.gz, and scripts.tar.gz. within the folder.
Next, move all the files in DataSets_part1 folder, DataSets_part2 folder,DataSets_part3 folder and DataSets_part4 folder to a new folder called DataSets.
Finally, run the following scripts to generate the figures and tables in our manuscript.
Regeneration of Figure2 and S2: singularity exec ZetaSuite.sif sh Figure2andS2.sh
Regeneration of Figure3 and S3: singularity exec ZetaSuite.sif sh Figure3andS3.sh
Regeneration of Figure4 and S4: singularity exec ZetaSuite.sif sh Figure4andS4.sh
Regeneration of Figure5 and S5: singularity exec ZetaSuite.sif sh Figure5andS5.sh
Regeneration of Figure6 and S6: singularity exec ZetaSuite.sif sh Figure6andS6.sh
Regeneration of Figure7 and S7: singularity exec ZetaSuite.sif sh Figure7andS7.sh
Files
Files
(14.5 GB)
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md5:9f24d2d8507c72c9853342ddde26e1b1
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md5:0938b9fb04b8950448653c38990cbe5d
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139.8 MB | Download |
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md5:102ef45e1c94c3583ef847c8c63485ae
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6.0 GB | Download |
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md5:f774a753723dd4ed7a4ea2ae23875828
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6.0 GB | Download |
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md5:423a534c98071e37598b49501bb849f6
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11.3 kB | Download |
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md5:45c3ff0c598e5b6cadf21b5253e7aabf
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6.4 kB | Download |
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md5:9df9f6a4a3264822df5cdcf858986a31
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10.9 kB | Download |
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md5:60a0a75a43c57342a708a45817667862
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16.6 kB | Download |
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md5:a78889214fea1c1f1074701cfa5a955b
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4.6 kB | Download |
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md5:97f14e35e63ba6ee2c0fff5f4817b071
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9.0 kB | Download |
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md5:a4b0fa62261f7f2f63d2b6475768c64a
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31.9 kB | Download |
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md5:9c64672d875fc7c9b325b48f104cc8c0
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1.1 GB | Download |
Additional details
Related works
- Is referenced by
- Preprint: 10.1101/2021.08.29.458095 (DOI)