semvec/pypi-packages huggingface dataset:
greatbrowser 1.1.6
Automate Stanford's GREAT browser
Keywords: python, genomics, genetics, greatbrowser, great, automated, analysis

# greatbrowser v1.1.6

A selenium implementation in python for Stanford's GREAT browser, allowing for quick and easy genomic analysis.

This repository can be installed as a module

```
pip install greatbrowser
```

with the available functions being accessible though

```
from greatbrowser import great_analysis, great_global_controls, great_get_options
```

A guide demonstrating how these functions may be used is available in the "tests" folder (see: "sample_usage")

The user experience is primarily built around a single function, great_analysis(), with the complementary functions great_get_options() and great_global_controls()
providing context regarding some of the parameters for this function.

The current version supports the ability to find gene associations using probe sets as well the ability to download any GREAT-generated table or plot in dataframe form.
UCSC genome browser implementation is also supported. Customizability is controlled through parameter tuning, some of which are specific,
while others are encapsulated within the "global_settings" dictionary parameter as key options. More specific information is available in the great_analysis() docstring.
Because the project uses switch statements, its requires python >= 3.10 to run. Analysis is limited to <200,000 regions.

This repository is ideal for individuals attempting to conduct many different analyses using GREAT across many different probe sets.
It is fully functional with regards to its ability to modify table output settings,
but is not ideal if one desires to perform highly custom visual modifications to specifically the raw barplot or hierarchy plots generated by GREAT.

Due to the nature of GREAT browser, sometimes errors may occur if too many requests are sent quick in succession. To parse this, use headless=0 and observe
the results. HTTP Error 500 is the most common indicator that too many requests have been sent in a short interval. This can be resolved by either
spacing out requests or resuming analysis at a later date. This repo does not automatically space requests.

This repository is not affiliated with the official GREAT browser and was developed solely for the sake of convenience.
gau 0.1.0
A Python package
Requires Python: >=3.7

# Gau

[![Build and Test](https://github.com/ducminhgd/gau/actions/workflows/main.yml/badge.svg)](https://github.com/ducminhgd/gau/actions/workflows/main.yml)

Gau is the ~Gathered All Ultilities~ nickname of my second son, means "Bear" in English

## Requirements

Python 3.7+

## Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. Here are some key points:

- Be respectful and considerate: Disagree professionally, and understand that experience, language, and detail can be misinterpreted in the absence of face-to-face conversation.
- In the case of disagreement, consult and trust in the project maintainers.
- If something seems off or makes you uncomfortable, please bring it up. Our priority is to make this a safe space for everyone.
xiangshi 4.2.3
中文文本相似度计算器 - 现已改名为Xiangsi
Requires Python: >=3.4

[![Xiangshi现已改名为Xiangsi](https://i.postimg.cc/mr3KDmpp/image.png)](https://pypi.org/project/xiangsi)

# Xiangshi

### 注意：Xiangshi现已改名为[Xiangsi](https://pypi.org/project/xiangsi)


您还可以正常使用Xiangshi的v4.2.2及以下版本，但请尽快下载Xiangsi最新版本：
```
pip3 install xiangsi
```

---

### Warning: Xiangshi has been renamed to [Xiangsi](https://pypi.org/project/xiangsi)

You can still use Xiangshi v4.2.2 or below, but please upgrade to Xiangsi as soon as possible:
```
pip3 install xiangsi
```