Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods
نویسندگان
چکیده
منابع مشابه
Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods
This data article describes a controlled, spiked proteomic dataset for which the "ground truth" of variant proteins is known. It is based on the LC-MS analysis of samples composed of a fixed background of yeast lysate and different spiked amounts of the UPS1 mixture of 48 recombinant proteins. It can be used to objectively evaluate bioinformatic pipelines for label-free quantitative analysis, a...
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The function of an individual protein is typically defined by protein-protein interactions orchestrating the formation of large complexes critical for a wide variety of biological processes. Over the last decade the analysis of purified protein complexes by mass spectrometry became a key technique to identify protein-protein interactions. We present a fast and straightforward approach for analy...
متن کاملCorrection: Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis.
Tables 1 and 5 are incorrectly aligned due to errors introduced in the production process. The publisher apologizes for the errors. Please see the corrected Tables 1 and 5 here. open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cred...
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High resolution proteomics approaches have been successfully utilized for the comprehensive characterization of the cell proteome. However, in the case of quantitative proteomics an open question still remains, which quantification strategy is best suited for identification of biologically relevant changes, especially in clinical specimens. In this study, a thorough comparison of a label-free a...
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ژورنال
عنوان ژورنال: Data in Brief
سال: 2016
ISSN: 2352-3409
DOI: 10.1016/j.dib.2015.11.063