项目作者: rformassspectrometry

项目描述 :
Quantitative features for mass spectrometry data
高级语言: R
项目地址: git://github.com/rformassspectrometry/QFeatures.git
创建时间: 2019-04-22T16:27:59Z
项目社区:https://github.com/rformassspectrometry/QFeatures

开源协议:

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Quantitative features for mass spectrometry data

Project Status: Active – The project has reached a stable, usable state and is being actively developed.
R-CMD-check-bioc
codecov.io
license

What is QFeatures?

QFeatures is a Bioconductor
package
that provides
infrastructure to management and process quantitative features for
high-throughput mass spectrometry-based proteomics assays. It provides
a familiar Bioconductor user experience to manage quantitative data
across different assay levels (such as precursors, peptide spectrum
matches, peptides and proteins or protein groups) in a coherent and
tractable format.

If you are familiar with the MSnbase package, QFeatures could be
summarised with:

Evolving MSnSet data towards SummarizedExperiment, but for
proteomics data.

Getting started

The QFeatures class is used to manage and process quantitative
features for high-throughput mass spectrometry assays. See the
QFeatures
introduction

to get started and the Processing quantitative proteomics data with
QFeatures

vignette for a real-life application. Visualisation of quantitative
mass spectrometry data contained in a QFeatures object is
illustrated in the Data
visualisation

vignette.

License

The QFeatures code is provided under a permissive Artistic 2.0
license
. The
documentation, including the manual pages and the vignettes, are
distributed under a CC BY-SA
license
.