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Scaling up multi-touch selection and querying: Interfaces and applications for combining mobile multi-touch input with large-scale visualization displays.

, , , , , and . Int. J. Hum. Comput. Stud., 70 (10): 703-713 (2012)

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Chapter 13. Using Galaxy for Proteomics., , , and . Proteome Informatics, volume 5 of New Developments in Mass Spectrometry, Royal Society of Chemistry, (2016)Improve your Galaxy text life: The Query Tabular Tool., , , , , , , , and . F1000Research, (2018)Perspectives on automated composition of workflows in the life sciences., , , , , , , , , and 22 other author(s). F1000Research, (2021)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update., , , , , , , , , and 90 other author(s). Nucleic Acids Res., 50 (W1): 345-351 (2022)Scaling up multi-touch selection and querying: Interfaces and applications for combining mobile multi-touch input with large-scale visualization displays., , , , , and . Int. J. Hum. Comput. Stud., 70 (10): 703-713 (2012)Relational operators for prioritizing candidate biomarkers in high-throughput differential expression data., , , and . BCB, page 25-34. ACM, (2010)Generating GO Slim Using Relational Database Management Systems to Support Proteomics Analysis., , , and . CBMS, page 215-217. IEEE Computer Society, (2008)RIPPER: a framework for MS1 only metabolomics and proteomics label-free relative quantification., , , and . Bioinform., 32 (13): 2035-2037 (2016)Galaxy Training: A powerful framework for teaching!, , , , , , , , , and 24 other author(s). PLoS Comput. Biol., (January 2023)ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework., , , , , , , , , and 3 other author(s). F1000Research, (2021)