No project description provided
Project description
Flexsweep v2.0
The second version of Flexsweep software, a versatile tool for detecting selective sweeps. The software trains a convolutional neural network (CNN) to classify genomic loci as sweep or neutral regions. The workflow begins with simulating data under an appropriate demographic model and classify regions as neutral or sweeps, including several selection events regarding sweep strength, age, starting allele frequency (softness), and ending allele frequency (completeness).
Please see documentation for further details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file flexsweep-1.9.1.tar.gz.
File metadata
- Download URL: flexsweep-1.9.1.tar.gz
- Upload date:
- Size: 27.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Pop!_OS","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c630cf5bc7f15a2cca021bb049a6aab480fbca10e3717da3ab57d3564476a3b4
|
|
| MD5 |
d0be446b0d502bbbbb33c2e9d3d67549
|
|
| BLAKE2b-256 |
3929c634927ee2475ac63af05ad8fe469910d0f4dae6232b5297e27e530ed3f0
|
File details
Details for the file flexsweep-1.9.1-cp312-cp312-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: flexsweep-1.9.1-cp312-cp312-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 27.4 MB
- Tags: CPython 3.12, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Pop!_OS","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d2d3722bad6ff506dac79c69f4128b436b160a1614aa24fa32f638346745c429
|
|
| MD5 |
c39b38b1af13bf1b93747629d84f2022
|
|
| BLAKE2b-256 |
7e9c216d4d2b4f012307bacbc660963e65f0344ba3cf18f5d8c431e4c38f42e6
|
