Pol Castellano
Pol Castellano
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Recent & Upcoming Talks
2021
POMA: A user-friendly workflow for metabolomics and proteomics data analysis
Aug 6, 2021 12:00 AM
Virtual Conference
Code
Slides
2020
POMA: An User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data
Dec 18, 2020 12:00 AM
Virtual Conference
Code
Slides
FOBI: An ontology to represent food intake data and associate it with metabolomic data
Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration.
Oct 27, 2020 12:00 AM
Virtual Conference
Code
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
Code
Slides
FOBI: An ontology to represent food intake data and associate it with metabolomic data
Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration.
Sep 23, 2020 12:00 AM
Virtual Conference
Code
Slides
FOBI: An ontology to represent food intake data and associate it with metabolomic data
Nutrition research can be conducted by using two complementary approaches: 1) traditional self-reporting methods or 2) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration.
Jan 22, 2020 12:00 AM
Toulouse, France
Code
2019
FOBI: An ontology to represent food intake data and associate it with metabolomic data
Nutrition research can be conducted by using two complementary approaches: 1) traditional self-reporting methods or 2) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration.
Dec 17, 2019 12:00 AM
Barcelona, Spain
Code
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
Code
Slides
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
Code
Epigenome-wide association study in Childhood Obesity: Searching for early markers of late disease risk
Rationale: Childhood obesity is one a major Public Health issue. Overweight/obese children have a high risk of being obese as adults and develop other co-morbidities, including type 2 diabetes, cardiovascular disease and several types of cancer.
Jan 16, 2019 12:00 AM
Cambridge, UK
2018
FBOnto: An ontology to represent food intake data and associate it with metabolomic data
Currently, nutrition research generates a lot of complex data hard to analyze and associate with other data or omics such as metabolomics. By itself, metabolomics is closely linked to nutrition. However, it is still difficult to associate these two types of data.
Dec 20, 2018 12:00 AM
Barcelona, Spain
Code
Epigenome-wide association study in childhood obesity
Childhood obesity is one a major Public Health issue. Overweight/obese children have a high risk of being obese as adults and develop other co-morbidities, including type 2 diabetes, cardiovascular disease and several types of cancer.
Feb 2, 2018 12:00 AM
Barcelona, Spain
2017
Epigenome-wide association study in childhood obesity
Childhood obesity is one a major Public Health issue. Overweight/obese children have a high risk of being obese as adults and develop other co-morbidities, including type 2 diabetes, cardiovascular disease and several types of cancer.
Dec 20, 2017 12:00 AM
Barcelona, Spain
Epigenome-wide association study in childhood obesity
Childhood obesity is one a major Public Health issue. Overweight/obese children have a high risk of being obese as adults and develop other co-morbidities, including type 2 diabetes, cardiovascular disease and several types of cancer.
Oct 23, 2017 12:00 AM
Barcelona, Spain
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