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https://github.com/Roestlab/DIAlignR

This is a R package for alignment of DIA mass-spec data
https://github.com/Roestlab/DIAlignR

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This is a R package for alignment of DIA mass-spec data

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README

        

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-dialignr/README.html)
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# DIAlignR
DIAlignR is an R package for retention time alignment of targeted mass spectrometric data, including DIA and SWATH-MS data. This tool works with MS2 chromatograms directly and uses dynamic programming for alignment of raw chromatographic traces. DIAlignR uses a hybrid approach of global (feature-based) and local (raw data-based) alignment to establish correspondence between peaks.

[![Travis build status](https://travis-ci.org/shubham1637/DIAlignR.svg?branch=master)](https://travis-ci.org/shubham1637/DIAlignR)

# Documentation
For documentation please see [our vignette](https://htmlpreview.github.io/?https://github.com/shubham1637/DIAlignR/master/vignettes/DIAlignR-vignette.html).

# Developing C++ code
```
cd DIAlignR
mkdir build && cd build
cmake -B. -H..
make clean && make && make test
make runTest3
cd ..
```

Documenting C++ code
```
sudo apt install doxygen doxygen-gui
sudo apt install graphviz
cd DIAlignR
cd src
doxygen doc/Doxyfile
```

# Installing Rcompression
`devtools::install_github("omegahat/Rcompression")`

# Citation
If you use the provided algorithms or the package, please cite our paper:

Gupta S, Ahadi S, Zhou W, Röst H. "DIAlignR Provides Precise Retention Time Alignment Across Distant Runs in DIA and Targeted Proteomics." Mol Cell Proteomics. 2019 Apr;18(4):806-817. doi: https://doi.org/10.1074/mcp.TIR118.001132 Epub 2019 Jan 31.

CNPN 2018 Poster doi: https://doi.org/10.6084/m9.figshare.6200837.v1
HUPO 2018 Poster doi: https://doi.org/10.6084/m9.figshare.7121696.v2