Kenneth Verheggen
Affiliations: | Ghent University, Ghent, Vlaanderen, Belgium |
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"Kenneth Verheggen"
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| Volders PJ, Anckaert J, Verheggen K, et al. (2018) LNCipedia 5: towards a reference set of human long non-coding RNAs. Nucleic Acids Research |
| Tardaguila M, de la Fuente L, Marti C, et al. (2018) Corrigendum: SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification. Genome Research. 28: 1096 |
| Tardaguila M, de la Fuente L, Marti C, et al. (2018) SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification. Genome Research |
| Verheggen K, Raeder H, Berven FS, et al. (2017) Anatomy and evolution of database search engines-a central component of mass spectrometry based proteomic workflows. Mass Spectrometry Reviews |
| Verheggen K, Volders PJ, Mestdagh P, et al. (2017) Noncoding after All: Biases in Proteomics Data Do Not Explain Observed Absence of lncRNA Translation Products. Journal of Proteome Research. 16: 2508-2515 |
| Gupta S, Verheggen K, Tavernier J, et al. (2017) An unbiased protein association study on the public human proteome reveals biological connections between co-occurring protein pairs. Journal of Proteome Research |
| Verheggen K, Martens L, Berven FS, et al. (2016) Database Search Engines: Paradigms, Challenges and Solutions. Advances in Experimental Medicine and Biology. 919: 147-156 |
| Argentini A, Goeminne LJ, Verheggen K, et al. (2016) moFF: a robust and automated approach to extract peptide ion intensities. Nature Methods. 13: 964-966 |
| Verheggen K, Maddelein D, Hulstaert N, et al. (2016) Pladipus Enables Universal Distributed Computing in Proteomics Bioinformatics. Journal of Proteome Research. 15: 707-12 |
| Vaudel M, Verheggen K, Csordas A, et al. (2016) Exploring the potential of public proteomics data. Proteomics. 16: 214-25 |