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Mass spectrometry-based proteomics

Citations

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Cited by:

  1. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
  2. Jinfeng Zou & Guini Hong & Xinwu Guo & Lin Zhang & Chen Yao & Jing Wang & Zheng Guo, 2011. "Reproducible Cancer Biomarker Discovery in SELDI-TOF MS Using Different Pre-Processing Algorithms," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-9, October.
  3. Karsten Suhre & Guhan Ram Venkataraman & Harendra Guturu & Anna Halama & Nisha Stephan & Gaurav Thareja & Hina Sarwath & Khatereh Motamedchaboki & Margaret K. R. Donovan & Asim Siddiqui & Serafim Batz, 2024. "Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  4. Giovanni Micale & Alfredo Pulvirenti & Rosalba Giugno & Alfredo Ferro, 2014. "GASOLINE: a Greedy And Stochastic algorithm for Optimal Local multiple alignment of Interaction NEtworks," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-15, June.
  5. Naomi S Hachiya, 2017. "Unfoldin, A Novel Tool for the Analysis of Protein Misfolding or Neurodegenerative Diseases," Open Access Journal of Neurology & Neurosurgery, Juniper Publishers Inc., vol. 6(3), pages 40-44, October.
  6. Ling Li & Mingming Niu & Alyssa Erickson & Jie Luo & Kincaid Rowbotham & Kai Guo & He Huang & Yuxin Li & Yi Jiang & Junguk Hur & Chunyu Liu & Junmin Peng & Xusheng Wang, 2022. "SMAP is a pipeline for sample matching in proteogenomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  7. Mateusz P. Czub & Federico Uliana & Tarik Grubić & Celestino Padeste & Kathryn A. Rosowski & Charlotta Lorenz & Eric R. Dufresne & Andreas Menzel & Ioannis Vakonakis & Urs Gasser & Michel O. Steinmetz, 2025. "Phase separation of a microtubule plus-end tracking protein into a fluid fractal network," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  8. Patrick Leopold Rüther & Immanuel Mirnes Husic & Pernille Bangsgaard & Kristian Murphy Gregersen & Pernille Pantmann & Milena Carvalho & Ricardo Miguel Godinho & Lukas Friedl & João Cascalheira & Albe, 2022. "SPIN enables high throughput species identification of archaeological bone by proteomics," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  9. Jinyu Li & Giulia Rossetti & Jens Dreyer & Simone Raugei & Emiliano Ippoliti & Bernhard Lüscher & Paolo Carloni, 2014. "Molecular Simulation-Based Structural Prediction of Protein Complexes in Mass Spectrometry: The Human Insulin Dimer," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-10, September.
  10. Jacques Colinge & Keiryn L Bennett, 2007. "Introduction to Computational Proteomics," PLOS Computational Biology, Public Library of Science, vol. 3(7), pages 1-10, July.
  11. Xiang Zhang & Tianze Ling & Zhi Jin & Sheng Xu & Zhiqiang Gao & Boyan Sun & Zijie Qiu & Jiaqi Wei & Nanqing Dong & Guangshuai Wang & Guibin Wang & Leyuan Li & Muhammad Abdul-Mageed & Laks V. S. Lakshm, 2025. "π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  12. Hannes L Röst & Uwe Schmitt & Ruedi Aebersold & Lars Malmström, 2015. "Fast and Efficient XML Data Access for Next-Generation Mass Spectrometry," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-11, April.
  13. Brar, D.S. & Mackill, D.J. & Hardy, Bill (ed.), 2007. "Rice Genetics V- Proceedings of the Fifth International Rice Genetics Symposium," IRRI Books, International Rice Research Institute (IRRI), number 164486, January.
  14. Wei Feng & Joanne C. Beer & Qinyu Hao & Ishara S. Ariyapala & Aparna Sahajan & Andrei Komarov & Katie Cha & Mason Moua & Xiaolei Qiu & Xiaomei Xu & Shweta Iyengar & Thu Yoshimura & Rajini Nagaraj & Li, 2023. "NULISA: a proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  15. ?uksza Marta & Kluge Bogus?aw & Ostrowski Jerzy & Karczmarski Jakub & Gambin Anna, 2009. "Two-Stage Model-Based Clustering for Liquid Chromatography Mass Spectrometry Data Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-36, February.
  16. Kong Ao & Azencott Robert, 2017. "Binary Markov Random Fields and interpretable mass spectra discrimination," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 13-30, March.
  17. Tianhai Tian & Jiangning Song, 2012. "Mathematical Modelling of the MAP Kinase Pathway Using Proteomic Datasets," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
  18. Benjamin A Shoemaker & Anna R Panchenko, 2007. "Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners," PLOS Computational Biology, Public Library of Science, vol. 3(4), pages 1-7, April.
  19. Mertens, B.J.A. & van der Burgt, Y.E.M. & Velstra, B. & Mesker, W.E. & Tollenaar, R.A.E.M. & Deelder, A.M., 2011. "On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 759-766, July.
  20. Alexander Kaever & Manuel Landesfeind & Kirstin Feussner & Burkhard Morgenstern & Ivo Feussner & Peter Meinicke, 2014. "Meta-Analysis of Pathway Enrichment: Combining Independent and Dependent Omics Data Sets," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
  21. Dayle L Sampson & Tony J Parker & Zee Upton & Cameron P Hurst, 2011. "A Comparison of Methods for Classifying Clinical Samples Based on Proteomics Data: A Case Study for Statistical and Machine Learning Approaches," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
  22. Guler, Arzu Tugce & Waaijer, Cathelijn J.F. & Mohammed, Yassene & Palmblad, Magnus, 2016. "Automating bibliometric analyses using Taverna scientific workflows: A tutorial on integrating Web Services," Journal of Informetrics, Elsevier, vol. 10(3), pages 830-841.
  23. Lei Xin & Rui Qiao & Xin Chen & Hieu Tran & Shengying Pan & Sahar Rabinoviz & Haibo Bian & Xianliang He & Brenton Morse & Baozhen Shan & Ming Li, 2022. "A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  24. Jiang Tan & Hui-Zhen Fu & Yuh-Shan Ho, 2014. "A bibliometric analysis of research on proteomics in Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1473-1490, February.
  25. Stephan Krueger & Patrick Giavalisco & Leonard Krall & Marie-Caroline Steinhauser & Dirk Büssis & Bjoern Usadel & Ulf-Ingo Flügge & Alisdair R Fernie & Lothar Willmitzer & Dirk Steinhauser, 2011. "A Topological Map of the Compartmentalized Arabidopsis thaliana Leaf Metabolome," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-16, March.
  26. Yun Xu & Wolfgang Schrader, 2021. "Studying the Complexity of Biomass Derived Biofuels," Energies, MDPI, vol. 14(8), pages 1-13, April.
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