semvec/pypi-packages huggingface dataset:
ALogAnalyze 0.0.1
Android Log Analyze
Requires Python: >=3.0

# README

Android Log Analyze

# UI

![0000_UI.png](/docs/images/0000_UI.png)

# 说明

* X Axis:
  * 获取的正则表达式groups中的数据索引，和Data Index数组共同作用
  * 空：使用自增整数作为索引，从0开始
  * Data Index中索引: 从Data Index获取索引作为X轴，一般是0
    * 如果X Axis和Data Index相同，那么Y轴采用自增索引，便于区分
* Data Index:
  * 获取的正则表达式groups中的数据索引，和X Axis数组共同作用
  * 绘图索引，和X Axis相同的索引会绘制垂线

# docs

NO.  |文件名称|摘要
:---:|:--|:--
0003 | [config_v2](docs/0003_config_v2.md) | 让配置更加完整
0002 | [config_v1](docs/0002_config_v1.md) | 第一版本的配置及解析策略
0001 | [Data3D](docs/0001_Data3D.md) | 获取加速度计数据
CONGA 3.0.8
Combined Open and Narrow searches via Group Analysis
Requires Python: >=3.9.0, <=3.10.13

"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
CONGA: Combined Open and Narrow searches via Group Analysis
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++
A tool for discovering peptides with unaccounted for PTMs
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++

CONGA is a tool for discovering peptides in mass spectrometry data with rigourous FDR control. It is designed to allow for unexpected post-translational modifications as well as chimeric spectra. CONGA takes three inputs: (1) the set of top-scoring PSMs from a traditional, narrow-window search against a concatenated target-decoy database, (2) the set of top-k PSMs (or fewer if less than k PSMs exist) from an open search, again against a concatenated target-decoy database, and (3) the pairs of target and decoy peptide sequences from the database. Ideally, an additional option is set which specifies the isolation window used. Given this, CONGA will return a discovery list of peptides.

Documentation
=============

You can find documentation on how to use CONGA over on `readtheddocs <https://open-groupwalk.readthedocs.io/en/latest/>`_. Alternatively you can find the same documentation under docs/pages in this respository.

Papers
======

`Analysis of tandem mass spectrometry data with CONGA: Combining Open and Narrow searches with Group-wise Analysis <https://www.biorxiv.org/content/10.1101/2023.05.02.539167v2>`_

`Re-investigating the correctness of decoy-based false discovery rate control in proteomics tandem mass spectrometry <https://www.biorxiv.org/content/10.1101/2023.06.21.546013v1>`_

Installation
============

To install, first create a virtual environment using conda:

``conda create --name conga_env python=3.9``

Then activate this virtual environment:

``conda activate conga_env``

Next download the latest release using `pip`:

``pip install CONGA``

Alternatively you can download the latest release from Github, and install using pip in the same directory as setup.py using:

``pip install .``

Please see the documentation, specifically the tutorial, on how to run CONGA.

Releasing
---------

Releases are published automatically when a tag is pushed to GitHub.

.. code-block:: bash

   # Set next version number
   export RELEASE=x.x.x

   # Create tags
   git commit --allow-empty -m "Release $RELEASE"
   git tag -a $RELEASE -m "Version $RELEASE"

   # Push
   git push upstream --tags
tkwinico 1.5.71
Tray Icon for Windows
Requires Python: >=3.8,<4.0

# tkwinico
为`Windows`系统提供开发系统托盘的功能。

---

## 注意事项
版本号前两位是库的版本号，后一位则是`Winico`的版本号。

如`x.x.71`或`x.x.6`，
`Winico`的`71`版本支持`x64位`电脑
而`6`版本支持`x32位`电脑
请按需要安装

仅支持`Windows`系统

## 示例
```python
from tkwinico import *
import tkinter as tk


Window = tk.Tk()

Ico = Winico(Window)


def CallBack(Message, X, Y):
    if Message == "WM_RBUTTONDOWNessage":
        Menu = tk.Menu(tearoff=False)
        Menu.add_command(label="Quit", command=Window.quit)
        Menu.tk_popup(X, Y)


Ico.tray_add(Ico.icon(APPLICATION), callback=CallBack, callback_args=[MESSAGE, X, Y])

Window.mainloop()
```