gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data

Affiliation:	3. Verna and Marrs McLean Department of Biochemistry and Molecular Biology; Baylor College of Medicine, Houston, TX, 77030;12. Departments of Molecular and Cellular Biology; Baylor College of Medicine, Houston, TX, 77030;5. Mass Spectrometry Proteomics Core; Baylor College of Medicine, Houston, TX, 77030;6. Dan L Duncan Comprehensive Cancer Center; Baylor College of Medicine, Houston, TX, 77030;4. Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030

Abstract:	Download : Download high-res image (162KB) Download : Download full-size image Highlights •Gene-centric inference algorithm with classification for distinguishable groups. •Shared peptides are split proportionally to corresponding unique peptide ratios. •iBAQ values are calculated for label-free, isotopic or isobaric labeling methods. •Universally handles single or mixed species PDX data with accurate deconvolution.

Keywords:	Bioinformatics software Mass Spectrometry Label-free quantification Quantification iTRAQ Mouse models Cancer Biology patient derived xenograft protein inference shared peptides
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