149 related articles for article (PubMed ID: 37584946)
1. Phospho-Analyst: An Interactive, Easy-to-Use Web Platform To Analyze Quantitative Phosphoproteomics Data.
Zhang H; Steele JR; Kahrood HV; Lucas DD; Shah AD; Schittenhelm RB
J Proteome Res; 2023 Sep; 22(9):2890-2899. PubMed ID: 37584946
[TBL] [Abstract][Full Text] [Related]
2. LFQ-Analyst: An Easy-To-Use Interactive Web Platform To Analyze and Visualize Label-Free Proteomics Data Preprocessed with MaxQuant.
Shah AD; Goode RJA; Huang C; Powell DR; Schittenhelm RB
J Proteome Res; 2020 Jan; 19(1):204-211. PubMed ID: 31657565
[TBL] [Abstract][Full Text] [Related]
3. Phosphomatics: interactive interrogation of substrate-kinase networks in global phosphoproteomics datasets.
Leeming MG; O'Callaghan S; Licata L; Iannuccelli M; Lo Surdo P; Micarelli E; Ang CS; Nie S; Varshney S; Ameen S; Cheng HC; Williamson NA
Bioinformatics; 2021 Jul; 37(11):1635-1636. PubMed ID: 33119075
[TBL] [Abstract][Full Text] [Related]
4. Plant Phosphopeptide Identification and Label-Free Quantification by MaxQuant and Proteome Discoverer Software.
Li S; Zan H; Zhu Z; Lu D; Krall L
Methods Mol Biol; 2021; 2358():179-187. PubMed ID: 34270055
[TBL] [Abstract][Full Text] [Related]
5. PhosMap: An ensemble bioinformatic platform to empower interactive analysis of quantitative phosphoproteomics.
Tong M; Liu Z; Li J; Wei X; Shi W; Liang C; Yu C; Huang R; Lin Y; Wang X; Wang S; Wang Y; Huang J; Wang Y; Li T; Qin J; Zhan D; Ji ZL
Comput Biol Med; 2024 May; 174():108391. PubMed ID: 38613887
[TBL] [Abstract][Full Text] [Related]
6. Analysis and visualization of quantitative proteomics data using FragPipe-Analyst.
Hsiao Y; Zhang H; Li GX; Deng Y; Yu F; Kahrood HV; Steele JR; Schittenhelm RB; Nesvizhskii AI
bioRxiv; 2024 Mar; ():. PubMed ID: 38496650
[TBL] [Abstract][Full Text] [Related]
7. ProteoViz: a tool for the analysis and interactive visualization of phosphoproteomics data.
Storey AJ; Naceanceno KS; Lan RS; Washam CL; Orr LM; Mackintosh SG; Tackett AJ; Edmondson RD; Wang Z; Li HY; Frett B; Kendrick S; Byrum SD
Mol Omics; 2020 Aug; 16(4):316-326. PubMed ID: 32347222
[TBL] [Abstract][Full Text] [Related]
8. Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.
Brusniak MY; Bodenmiller B; Campbell D; Cooke K; Eddes J; Garbutt A; Lau H; Letarte S; Mueller LN; Sharma V; Vitek O; Zhang N; Aebersold R; Watts JD
BMC Bioinformatics; 2008 Dec; 9():542. PubMed ID: 19087345
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of different phospho-tyrosine antibodies for label-free phosphoproteomics.
van der Mijn JC; Labots M; Piersma SR; Pham TV; Knol JC; Broxterman HJ; Verheul HM; Jiménez CR
J Proteomics; 2015 Sep; 127(Pt B):259-63. PubMed ID: 25890253
[TBL] [Abstract][Full Text] [Related]
10. Phosphoproteomics-Based Profiling of Kinase Activities in Cancer Cells.
Wirbel J; Cutillas P; Saez-Rodriguez J
Methods Mol Biol; 2018; 1711():103-132. PubMed ID: 29344887
[TBL] [Abstract][Full Text] [Related]
11. A review on recent trends in the phosphoproteomics workflow. From sample preparation to data analysis.
Urban J
Anal Chim Acta; 2022 Mar; 1199():338857. PubMed ID: 35227377
[TBL] [Abstract][Full Text] [Related]
12. Recent findings and technological advances in phosphoproteomics for cells and tissues.
von Stechow L; Francavilla C; Olsen JV
Expert Rev Proteomics; 2015; 12(5):469-87. PubMed ID: 26400465
[TBL] [Abstract][Full Text] [Related]
13. Phosphonormalizer: an R package for normalization of MS-based label-free phosphoproteomics.
Saraei S; Suomi T; Kauko O; Elo LL; Stegle O
Bioinformatics; 2018 Feb; 34(4):693-694. PubMed ID: 28968644
[TBL] [Abstract][Full Text] [Related]
14. ProteoSign: an end-user online differential proteomics statistical analysis platform.
Efstathiou G; Antonakis AN; Pavlopoulos GA; Theodosiou T; Divanach P; Trudgian DC; Thomas B; Papanikolaou N; Aivaliotis M; Acuto O; Iliopoulos I
Nucleic Acids Res; 2017 Jul; 45(W1):W300-W306. PubMed ID: 28520987
[TBL] [Abstract][Full Text] [Related]
15. A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.
Cox J; Matic I; Hilger M; Nagaraj N; Selbach M; Olsen JV; Mann M
Nat Protoc; 2009; 4(5):698-705. PubMed ID: 19373234
[TBL] [Abstract][Full Text] [Related]
16. SimPhospho: a software tool enabling confident phosphosite assignment.
Suni V; Suomi T; Tsubosaka T; Imanishi SY; Elo LL; Corthals GL
Bioinformatics; 2018 Aug; 34(15):2690-2692. PubMed ID: 29596608
[TBL] [Abstract][Full Text] [Related]
17. Advances in phosphoproteomics and its application to COPD.
Zeng X; Lan Y; Xiao J; Hu L; Tan L; Liang M; Wang X; Lu S; Peng T; Long F
Expert Rev Proteomics; 2022; 19(7-12):311-324. PubMed ID: 36730079
[TBL] [Abstract][Full Text] [Related]
18. An integrated chemical, mass spectrometric and computational strategy for (quantitative) phosphoproteomics: application to Drosophila melanogaster Kc167 cells.
Bodenmiller B; Mueller LN; Pedrioli PG; Pflieger D; Jünger MA; Eng JK; Aebersold R; Tao WA
Mol Biosyst; 2007 Apr; 3(4):275-86. PubMed ID: 17372656
[TBL] [Abstract][Full Text] [Related]
19. Search Databases and Statistics: Pitfalls and Best Practices in Phosphoproteomics.
Refsgaard JC; Munk S; Jensen LJ
Methods Mol Biol; 2016; 1355():323-39. PubMed ID: 26584936
[TBL] [Abstract][Full Text] [Related]
20. msVolcano: A flexible web application for visualizing quantitative proteomics data.
Singh S; Hein MY; Stewart AF
Proteomics; 2016 Sep; 16(18):2491-4. PubMed ID: 27440201
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
