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https://github.com/animesh/cascadia

Transformer deep learning model for de novo sequencing of data-independent acquisition mass spectrometry data

https://github.com/animesh/cascadia

Science Score: 13.0%

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Repository

Transformer deep learning model for de novo sequencing of data-independent acquisition mass spectrometry data

Basic Info
  • Host: GitHub
  • Owner: animesh
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 684 KB
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Fork of Noble-Lab/cascadia
Created over 1 year ago · Last pushed 7 months ago

https://github.com/animesh/cascadia/blob/main/ 

# Cascadia


**A transformer model for de novo sequencing of data-independent acquisition mass spectrometry data**

![image](docs/source/cascadia-graphical-abstract.png)

If you use Cascadia in your work, please cite the following publication:

Sanders, Justin, et al. A Transformer Model for de Novo Sequencing of Data-Independent Acquisition Mass Spectrometry Data. bioRxiv, Cold Spring Harbor Laboratory, 2024, [https://doi.org/10.1101/2024.06.03.597251](https://doi.org/10.1101/2024.06.03.597251).

## Documentation

Documentation for Cascadia is avaialable at:
[https://cascadia.readthedocs.io/en/latest/index.html](https://cascadia.readthedocs.io/en/latest/index.html)

Owner

  • Name: Ani
  • Login: animesh
  • Kind: user
  • Location: Norway
  • Company: Norwegian University of Science and Technology

A medical graduate from Delhi University with post-graduation in bioinformatics from Jawaharlal Nehru University, India.

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