bfx
A suite for bioinformatics tools with little to no dependencies.
This WIP module offers several usefull bioinformatics tool for projects that can't rely on large dependencies like BioPython or others.
This lightweight bioinformatics module is ideal for projects with limited dependencies. It includes fasta/fastq readers (supporting compressed files), BLOSUM matrices, and population genetics tools – with more features on the way!
Note
This project has been set up using PyScaffold 4.5. For details and usage information on PyScaffold see https://pyscaffold.org/.
Release files for bfx 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bfx-0.2.0.tar.gz | 79.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bfx-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 111.0 kB
Release files / bfx-0.2.0.tar.gz
| Download URL | bfx-0.2.0.tar.gz |
|---|---|
| Size | 79.2 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 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.12
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Release files / bfx-0.2.0-py3-none-any.whl
| Download URL | bfx-0.2.0-py3-none-any.whl |
|---|---|
| Size | 31.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.12
|