Published October 20, 2023
| Version v1
Journal article
Open
Optimizing Sequence Design Strategies for Perturbation MPRAs: A Computational Evaluation Framework
Authors/Creators
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1.
Rutgers, The State University of New Jersey
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2.
University of California, Berkeley
- 3. Kyoto University
- 4. University of California San Francisco
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5.
Weizmann Institute of Science
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6.
Chan Zuckerberg Initiative (United States)
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7.
Ragon Institute of MGH, MIT and Harvard
- 8. Rutgers The State University of New Jersey
Description
- pub.fasta: designed sequences
- index.txt: the sequence names and seq names in the fasta file.
Files
index.txt
Files
(2.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:f9a2ba79d51520dea14d87c564d7be5e
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18.2 kB | Download |
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md5:dfe6928a5f6aa4185768598b08576e10
|
376 Bytes | Download |
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md5:72a550b5375a7954cefa4fa62ef35799
|
1.1 kB | Download |
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md5:3cb73bf3e6deab4e6c352e0ff3f303bd
|
10.0 kB | Download |
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md5:6fde033bc0e0ff5303d60c5e0030df30
|
7.9 kB | Download |
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md5:b218b717282b5037363423fa2b251899
|
8.2 kB | Download |
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md5:2c09ddc2e1d0da1efc976246e58fefdb
|
598.8 kB | Preview Download |
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md5:ac253378d24cda7435a0d912c1db9ca1
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1.9 MB | Download |
Additional details
Related works
- Is published in
- Preprint: 10.1101/2023.09.27.559768 (DOI)
Funding
- National Institute of Health
- Early epigenetic footprint of neurological diseases K99MH117393
- National Institute of Health
- Early epigenetic footprint of neurological diseases 5R00MH117393
Dates
- Submitted
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2023-10-20submit to NAR