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SBL.00123 material - Cellular and Genetic Networks - Metabolomics - BEFRI

Authors: Allard, Pierre-Marie;

SBL.00123 material - Cellular and Genetic Networks - Metabolomics - BEFRI

Abstract

SBL.00123 Cellular and Genetic Networks [SS 23] Genes and cells function in complex genetic and cellular networks that form the basis of biological systems. Recent advances in genomic and high-throughput techniques allow us today to acquire a more “holistic” view of biological systems. In this course, we will discuss how experimental or theoretical approaches at the systems-level provide insights into cell-to-cell interactions, cell cycle and cell growth, transcriptional regulatory networks, neuronal networks, and interactions between the environment and cellular processes. Topics also include mathematical modeling and cutting-edge genomic technologies. The goal of this course is to learn how to approach biological questions at the systems-level by integrating different experimental methods. No textbook is available. Recent papers related to the topics will be suggested by lecturers for further reading. Within the SBL.00123 program this specific lecture will deal with Metabolomics, computational mass spectrometry and open science resources for the exploration of living systems metabolomes. If we have time, it will be complemented by showcases of Wikidata queries and Scholia exploration.

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Keywords

natural products, systems biology, metabolomics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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