Mass Spectrometry Proteomics Data : From raw data to discovery

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Intriduction to experimental and computational mass spectrometry proteomics pipelines for biomecial application and discovery of biomarkers.

Mass spectrometry-based proteomics is a strong tool for the proteome of biosamples and has numerous applications for the discovery of diagnostic, prognostic and therapeutic biomarkers. However, there exist several different complementary mass spectrometry based techniques (e.g. labelled vs label free discovery proteomics, DIA and DDA analysis, targeted vs untargeted) which makes the identification of the most suitable pipeline for each biomedical problem a difficult task. Moreover, raw data generated by the mass spectrometries requires, complex preprocessing and processing to transform them into meaningful results and this analysis requires the combination of commercial and open source tools and repositories.

In this webinar, the attendees were introduced to modern mass spectrometry based proteomics pipelines, and they were taught to critically evaluate is more suitable for each problem. Moreover, the attendees were introduced to a set of computational tools, platofrms and pipelines required to transform raw proteomics data to biomedicine knowledge. Finally, an introduction was given to a novel computational technique for preprocessing proteomics data in an attempt to minimize missing values and maximize the number of quantified proteins and peptides per dataset.

The webinar was delivered by Dr. Konstantinos Theofilatos, Chief Technology Officer at InSyBio.

Konstantinos Theofilatos is a computer engineer with MSc and PhD in Bioinformatics from University of Patras (Greece). He is a highly experienced bioinformatician and programmer. The last 15 years, he has worked as a researcher, software engineer and bioinformatician in several Developmental and Research projects. Also, he has worked as a teaching collaborator in the Technological Institutes of Messologhi, Argostoli and Naupaktos, Greece, while at the moment he is a Lecturer in Bioinformatics in King’s College London. His main R&D activity is related with bioinformatics applications and his research interests include computational intelligence, bioinformatics, data mining, web technologies and time series forecasting. So far, he has published more than 45 articles in international scientific journals and more than 50 articles in conference proceedings, 2 edited volumes-books, 4 book chapters while he is the co-inventor in two submitted patents in US Patent office and has an h-index of 15. He is the co-founder and CTO of InSyBio Ltd, a biotechnology and bioinformatics company which delivers a cloud-based software suite for intelligent analysis of biological data and biomarkers discovery.



About InSyBio: InSyBio is an international pioneer bioinformatics revolutionizing the medical field, clinical trials and food/nutrition industries through targeted biomarker discovery and highly-accurate predictive analytics.

Its solutions provide the R&D departments of Pharma, Research Institutes and Food/Nutrition companies, with the means both analytically and computationally to meet their challenging research and innovation goals (such as robust biomarker discovery and accurate predictive models). This is done through a sophisticated, software-as-a-service, machine learning platform which comprehensively integrates multi-omics data reducing the number of samples and additional validation experiments needed. Since 2013, InSyBio has worked with hundreds of academics, large and small companies, hospitals and research centers allowing them to succeed in their biomarker discovery tasks with an increase of at least 10% in predictive accuracy and decrease of at least 80% in overall time and cost.

Visit to see how InSyBio can help you reach your R&D goals in the era of Precision Medicine and Nutrition.

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