标题
Strategies to enable large-scale proteomics for reproducible research
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-07-30
DOI
10.1038/s41467-020-17641-3
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Analysis of 1508 plasma samples by capillary flow data-independent acquisition profiles proteomics of weight loss and maintenance
- (2019) Roland Bruderer et al. MOLECULAR & CELLULAR PROTEOMICS
- A new normalization for Nanostring nCounter gene expression data
- (2019) Ramyar Molania et al. NUCLEIC ACIDS RESEARCH
- Addressing the challenges of high‐throughput cancer tissue proteomics for clinical application: ProCan ®
- (2019) Brett Tully et al. PROTEOMICS
- Five simple yet essential steps to correctly estimate the rate of false differentially abundant proteins in mass spectrometry analyses
- (2019) Samuel Wieczorek et al. Journal of Proteomics
- Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
- (2019) David J. Clark et al. CELL
- Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial
- (2018) Christina Ludwig et al. Molecular Systems Biology
- Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis
- (2018) Dragan Ilic et al. BMJ-British Medical Journal
- NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
- (2018) Jakob Willforss et al. JOURNAL OF PROTEOME RESEARCH
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- The PRIDE database and related tools and resources in 2019: improving support for quantification data
- (2018) Yasset Perez-Riverol et al. NUCLEIC ACIDS RESEARCH
- Current trends in quantitative proteomics - an update
- (2017) H. Li et al. JOURNAL OF MASS SPECTROMETRY
- Breast cancer
- (2017) Nadia Harbeck et al. LANCET
- Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses
- (2017) George Rosenberger et al. NATURE METHODS
- Prognostic Role of Preoperative Serum Lipid Levels in Patients Undergoing Radical Prostatectomy for Clinically Localized Prostate Cancer
- (2017) Marian S. Wettstein et al. PROSTATE
- Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
- (2016) Hui Zhang et al. CELL
- Mass-spectrometric exploration of proteome structure and function
- (2016) Ruedi Aebersold et al. NATURE
- Proteogenomics connects somatic mutations to signalling in breast cancer
- (2016) Philipp Mertins et al. NATURE
- A multicenter study benchmarks software tools for label-free proteome quantification
- (2016) Pedro Navarro et al. NATURE BIOTECHNOLOGY
- Principal component analysis: a review and recent developments
- (2016) Ian T. Jolliffe et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- State-of-the-art housekeeping proteins for quantitative western blotting: Revisiting the first draft of the human proteome
- (2016) Hyun-Gwan Lee et al. PROTEOMICS
- PeptideShaker enables reanalysis of MS-derived proteomics data sets
- (2015) Marc Vaudel et al. NATURE BIOTECHNOLOGY
- Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps
- (2015) Tiannan Guo et al. NATURE MEDICINE
- Systematic pan-cancer analysis of tumour purity
- (2015) Dvir Aran et al. Nature Communications
- DIANA—algorithmic improvements for analysis of data-independent acquisition MS data
- (2014) Johan Teleman et al. BIOINFORMATICS
- Proteogenomic characterization of human colon and rectal cancer
- (2014) Bing Zhang et al. NATURE
- OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
- (2014) Hannes L Röst et al. NATURE BIOTECHNOLOGY
- A repository of assays to quantify 10,000 human proteins by SWATH-MS
- (2014) George Rosenberger et al. Scientific Data
- Connecting Genomic Alterations to Cancer Biology with Proteomics: The NCI Clinical Proteomic Tumor Analysis Consortium
- (2013) M. J. Ellis et al. Cancer Discovery
- The sva package for removing batch effects and other unwanted variation in high-throughput experiments
- (2012) Jeffrey T. Leek et al. BIOINFORMATICS
- Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis
- (2012) Ludovic C. Gillet et al. MOLECULAR & CELLULAR PROTEOMICS
- A cross-platform toolkit for mass spectrometry and proteomics
- (2012) Matthew C Chambers et al. NATURE BIOTECHNOLOGY
- Using control genes to correct for unwanted variation in microarray data
- (2011) J. A. Gagnon-Bartsch et al. BIOSTATISTICS
- Reversed-phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells
- (2011) Yuexi Wang et al. PROTEOMICS
- Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
- (2010) Brendan MacLean et al. BIOINFORMATICS
- ProCOC: The prostate cancer outcomes cohort study
- (2008) Martin Umbehr et al. BMC Urology
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