Articles with "free quantification" as a keyword



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Label-Free Quantification of Phosphoinositides in Drosophila by Mass Spectrometry.

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Published in 2021 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1142-5_2

Abstract: Phosphoinositides (PIs), the seven phosphorylated derivatives of phosphatidylinositol, are recognized as key molecules in the control of multiple molecular events in eukaryotic cells. Within cells, PIs are low-abundance lipids making their detection and quantification challenging.… read more here.

Keywords: free quantification; quantification; label free; mass spectrometry ... See more keywords

StPeter: Seamless Label-Free Quantification with the Trans-Proteomic Pipeline.

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Published in 2018 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.7b00786

Abstract: Label-free quantification has grown in popularity as a means of obtaining relative abundance measures for proteomics experiments. However, easily accessible and integrated tools to perform label-free quantification have been lacking. We describe StPeter, an implementation… read more here.

Keywords: trans proteomic; proteomic pipeline; free quantification; label free ... See more keywords

apQuant: Accurate Label-Free Quantification by Quality Filtering.

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Published in 2019 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.8b00113

Abstract: Label-free quantification of shotgun proteomics data is a frequently used strategy, offering high dynamic range, sensitivity, and the ability to compare a high number of samples without additional labeling effort. Here, we present a bioinformatics… read more here.

Keywords: quality; accurate label; apquant accurate; free quantification ... See more keywords
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Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins

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Published in 2019 at "Journal of Proteome Research"

DOI: 10.1021/acs.jproteome.8b00377

Abstract: Label-free quantification has become a common-practice in many mass spectrometry-based proteomics experiments. In recent years, we and others have shown that spectral clustering can considerably improve the analysis of (primarily large-scale) proteomics data sets. Here… read more here.

Keywords: data sets; spectral clustering; low abundant; free quantification ... See more keywords
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Assembly-free quantification of vagrant DNA inserts.

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Published in 2023 at "Molecular ecology resources"

DOI: 10.1111/1755-0998.13764

Abstract: Inserts of DNA from extranuclear sources, such as organelles and microbes, are common in eukaryote nuclear genomes. However, sequence similarity between the nuclear and extranuclear DNA, and a history of multiple insertions, make the assembly… read more here.

Keywords: assembly free; quantification; dna; free quantification ... See more keywords
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Computational Advances in the Label-free Quantification of Cancer Proteomics Data.

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Published in 2018 at "Current pharmaceutical design"

DOI: 10.2174/1381612824666181102125638

Abstract: BACKGROUND Due to its ability to provide quantitative and dynamic information on tumor genesis and development by directly profiling protein expression, the proteomics has become intensely popular for characterizing the functional proteins driving the transformation… read more here.

Keywords: proteomics data; cancer proteomics; free quantification; label free ... See more keywords
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Advances in Current Diabetes Proteomics: From the Perspectives of Label-free Quantification and Biomarker Selection.

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Published in 2019 at "Current drug targets"

DOI: 10.2174/1389450120666190821160207

Abstract: BACKGROUND Due to its prevalence and negative impacts on both economy and society, the diabetes mellitus (DM) has emerged as a worldwide concern. In light of this, the label-free quantification proteomics (LFQ) and diabetic marker… read more here.

Keywords: selection; free quantification; label free; computational advances ... See more keywords