Publications
POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis
Metabolomics and proteomics, like other omics domains, usually face a data mining challenge in providing an understandable output to advance in biomarker discovery and precision medicine. Often, statistical analysis is one of the most difficult challenges and it is critical in the subsequent biological interpretation of the results.
Talks
POMA: An User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data
Dec 18, 2020 12:00 AM
Virtual Conference
POMAShiny: An User-friendly Web-based Workflow for Statistical Analysis of Mass Spectrometry Data
Mass spectrometry, like other high-throughput technologies, usually faces a data mining challenge to provide an understandable output to advance in biomarker discovery and precision medicine. Often, statistical analysis is one of the hard points and it’s critical in the subsequent biological interpretation of the results.
Oct 15, 2020 12:00 AM
Virtual Conference
POMA: Shiny Framework Statistical analysis tool for targeted metabolomic data
Similarly to other high-throughput technologies, metabolomics usually faces a data mining challenge to provide an understandable and useful output to advance in biomarker discovery and precision medicine. Biological interpretation of the results is one of the hard points and several bioinformatics tools have emerged to simplify and improve this step.
Jul 11, 2019 12:00 AM
Toulouse, France
POMA: Shiny Framework Statistical analysis tool for targeted metabolomic data
Similarly to other high-throughput technologies, metabolomics usually faces a data mining challenge to provide an understandable and useful output to advance in biomarker discovery and precision medicine. Biological interpretation of the results is one of the hard points and several bioinformatics tools have emerged to simplify and improve this step.
Jan 25, 2019 12:00 AM
Santiago de Compostela, Spain