Search Results for "proteomics"

PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. ...

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).

PANDA-view, an affiliated tool of PANDA, includes the methods for differentially expressed protein detection, missing value imputation and the parametric and non-parametric statistical tests. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view.

ProteoWizard development moved to GitHub in 2018. The ProteoWizard Library is a set of software libraries and tools for rapid development of proteomics data analysis software. The libraries are cross-platform and built from the ground up using modern C++ techniques.

Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform for proteomics. An LC-MS analysis of a complex biological sample can be visualized as a “map” of which the positional coordinates are the mass-to-charge ratio (m/z) and chromatographic retention time (RT) of the chemical species profiled. Label-free quantitative-proteomics requires the alignment and comparison of multiple LC-MS maps to ascertain the reproducibility of experiments or reveal proteome changes under different conditions. ...

Binary download site for the proteomics data post processor percolator. The source code is hosted on git hub, https://github.com/percolator/percolator

Corra [BMC Bioinformatics 2008] is a computational framework & tools for discovery proteomics using label free LC-MS and ATAQS [BMC Bioinformatics 2011] is a computational framework & tools for validation proteomics using SRM LC-MS method.

Ordered Bijective Interpolated Warping (OBI-Warp) aligns matrices using Dynamic Time Warping with a one-to-one (bijective) smooth warp-function. It is ideal for the chromatographic alignment of complex mass spectrometry proteomics data.

BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.