Mass Spectrometry for Biology Unit, CNRS USR 2000, Institut Pasteur, Paris, France.
Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Paraná, Brazil.
Bioinformatics. 2019 Sep 15;35(18):3489-3490. doi: 10.1093/bioinformatics/btz085.
We present the first tool for unbiased quality control of top-down proteomics datasets. Our tool can select high-quality top-down proteomics spectra, serve as a gateway for building top-down spectral libraries and, ultimately, improve identification rates.
We demonstrate that a twofold rate increase for two E. coli top-down proteomics datasets may be achievable.
http://patternlabforproteomics.org/tdgc, freely available for academic use.
Supplementary data are available at Bioinformatics online.
我们提出了第一个用于无偏质量控制自上而下的蛋白质组学数据集的工具。我们的工具可以选择高质量的自上而下的蛋白质组学谱，作为构建自上而下的光谱库的网关，并最终提高鉴定率。
我们证明，对于两个大肠杆菌自上而下的蛋白质组学数据集，可能可以实现两倍的速率增加。
http://patternlabforproteomics.org/tdgc，可免费供学术使用。
补充数据可在Bioinformatics 在线获得。
