semvec/pypi-packages huggingface dataset:
adb-push-create 0.11
creates [nested] folders and pushes files with ADB
License: MIT
Keywords: adb


# creates [nested] folders and pushes files with ADB

## Tested against Windows 10 / Python 3.10 / Anaconda 

### pip install adb-push-create

```python
from adb_push_create import push_file,make_folders
adb_path = r"C:\ProgramData\chocolatey\bin\adb.exe"
deviceserial = "xxxx"
make_folders(adb_path, deviceserial,path2create='/sdcard/DCIM/0/12/4')
copyok = push_file(
    adb_path=adb_path,
    deviceserial=deviceserial,
    file=r"C:\xdf - Copy.m4v",
    dest="/sdcard/DCIM/0/12/4/12/4/5", # path does not exist yet
)
print(copyok)
True
```

Contribution
Contributions are welcome! If you encounter any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request on the GitHub repository.

License
This project is licensed under the MIT License.
liqa 1.3.4
A statistical tool to quantify isoform-specific expression using long-read RNA-seq
License: MIT

# Long-read Isoform Quantification and Analysis

[![DOI](https://zenodo.org/badge/257630000.svg)](https://zenodo.org/badge/latestdoi/257630000)

LIQA (Long-read Isoform Quantification and Analysis) is an Expectation-Maximization based statistical method to quantify isoform expression and detect differential alternative splicing (DAS) events using long-read RNA-seq data. LIQA incorporates base-pair quality score and isoform-specific read length information to assign different weights across reads instead of summarizing isoform-specific read counts directly. Moreover, LIQA can detect DAS events between conditions using isoform usage estimates.

## Computational pipeline of LIQA
<p align="center">
  <img width="575" height="406" src="doc/liqa_flowchart.png">
</p>

## Inputs of LIQA
The input of LIQA is long-read RNA-seq read data in BAM format together with a refrence isoform annotation file.

## Installation
Please refer to [Installation](https://github.com/WGLab/LIQA/blob/master/doc/Install.md) for how to install LIQA.

## Usage
Please refere to [Usage](https://github.com/WGLab/LIQA/blob/master/doc/Usage.md) for how to use LIQA.

## Examples of isoform analysis using LIQA.

Please refer to [Demo and Examples](https://github.com/WGLab/LIQA/blob/master/doc/Examples.md) for examples of how to use LIQA.

## Contact

If you have any questions/issues/bugs, please post them on [GitHub](https://github.com/WGLab/LIQA/issues). They would also be helpful to other users. 

## Citation

Yu Hu, Li Fang, Xuelian Chen, Jiang F. Zhong, Mingyao Li, Kai Wang. LIQA: Long-read Isoform Quantification and Analysis. 2020. bioRxiv doi: [https://doi.org/10.1101/2020.09.09.289793](https://www.biorxiv.org/content/10.1101/2020.09.09.289793v1)