Sunflower models the simultaneous binding of transcription factors to DNA. It uses a hidden Markov model that resembles a sunflower.
1 maintainer
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1 maintainer
Release files for Sunflower 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Sunflower-1.1.0.tar.gz | 208.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Sunflower-1.1.0-py2.5-linux-i686.egg | Legacy Egg format | - | - | Details |
Total release size: 471.2 kB
Release files / Sunflower-1.1.0.tar.gz
| Download URL | Sunflower-1.1.0.tar.gz |
|---|---|
| Size | 208.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
b0149536e6a5cc5decfd4ce85cd19965ebc314efbd400f2f436019d8d6f9968e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / Sunflower-1.1.0-py2.5-linux-i686.egg
| Download URL | Sunflower-1.1.0-py2.5-linux-i686.egg |
|---|---|
| Size | 262.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
6cdc72cea592050e8afbfc18ea39d80abf21c5ebefc68c175d1619f65007101c
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BLAKE2b-256 checksum How to use checksums |
12c0bae2bae74a6177d8c4bc1e6b11415a5f37894b05b84c7bba32d3d3f0f919
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
