MATISS
Marco's time saving stuff for Python
This rapidly evolving Python package is a collection of functions and classes to aid the analysis of genomics data. It includes functions for plotting with matplotlib and seaborn, to interact with the Google Cloud Platform, for statistical testing, and others.
Installation
Install MATISS through PIP with:
pip install matiss
Author
Marco Teixeira
mcarvalh@broadinstitute.org
1 maintainer
Metadata
1 maintainer
Release files for matiss 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matiss-1.0.0.tar.gz | 33.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matiss-1.0.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 71.1 kB
Release files / matiss-1.0.0.tar.gz
| Download URL | matiss-1.0.0.tar.gz |
|---|---|
| Size | 33.0 kB |
| Tags | Source |
|
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 |
python-requests/2.32.3
|
Release files / matiss-1.0.0-py2.py3-none-any.whl
| Download URL | matiss-1.0.0-py2.py3-none-any.whl |
|---|---|
| Size | 38.1 kB |
| Tags | Python 2 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 |
python-requests/2.32.3
|
