These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
12. The OMSSAPercolator: an automated tool to validate OMSSA results. Wen B; Li G; Wright JC; Du C; Feng Q; Xu X; Choudhary JS; Wang J Proteomics; 2014 May; 14(9):1011-4. PubMed ID: 24504981 [TBL] [Abstract][Full Text] [Related]
13. Environmental proteomics: applications of proteome profiling in environmental microbiology and biotechnology. Lacerda CM; Reardon KF Brief Funct Genomic Proteomic; 2009 Jan; 8(1):75-87. PubMed ID: 19279070 [TBL] [Abstract][Full Text] [Related]
14. PANDA: A comprehensive and flexible tool for quantitative proteomics data analysis. Chang C; Li M; Guo C; Ding Y; Xu K; Han M; He F; Zhu Y Bioinformatics; 2019 Mar; 35(5):898-900. PubMed ID: 30816924 [TBL] [Abstract][Full Text] [Related]
15. Qupe--a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments. Albaum SP; Neuweger H; Fränzel B; Lange S; Mertens D; Trötschel C; Wolters D; Kalinowski J; Nattkemper TW; Goesmann A Bioinformatics; 2009 Dec; 25(23):3128-34. PubMed ID: 19808875 [TBL] [Abstract][Full Text] [Related]
16. MS1Connect: a mass spectrometry run similarity measure. Lin A; Deatherage Kaiser BL; Hutchison JR; Bilmes JA; Noble WS Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36702456 [TBL] [Abstract][Full Text] [Related]
17. Challenges and perspectives of metaproteomic data analysis. Heyer R; Schallert K; Zoun R; Becher B; Saake G; Benndorf D J Biotechnol; 2017 Nov; 261():24-36. PubMed ID: 28663049 [TBL] [Abstract][Full Text] [Related]
18. PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data. Chang C; Xu K; Guo C; Wang J; Yan Q; Zhang J; He F; Zhu Y Bioinformatics; 2018 Oct; 34(20):3594-3596. PubMed ID: 29790911 [TBL] [Abstract][Full Text] [Related]
19. A reference peptide database for proteome quantification based on experimental mass spectrum response curves. Liu W; Wei L; Sun J; Feng J; Guo G; Liang L; Fu T; Liu M; Li K; Huang Y; Zhu W; Zhen B; Wang Y; Ding C; Qin J Bioinformatics; 2018 Aug; 34(16):2766-2772. PubMed ID: 29617941 [TBL] [Abstract][Full Text] [Related]
20. Design and analysis of quantitative differential proteomics investigations using LC-MS technology. Bukhman YV; Dharsee M; Ewing R; Chu P; Topaloglou T; Le Bihan T; Goh T; Duewel H; Stewart II; Wisniewski JR; Ng NF J Bioinform Comput Biol; 2008 Feb; 6(1):107-23. PubMed ID: 18324749 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]