Analysis of Biomedical Networks with BioNAR
Short talk, European BioConductor conference, EuroBioC2024, Oxford, United Kingdom
Short talk, European BioConductor conference, EuroBioC2024, Oxford, United Kingdom
Plenary talk, Bioinformatics of Genome Regulation and Structure/Systems Biology, BGRS/SB-2024, Novosibirsk, Russian Federation
Since 1999 when the first GEnome-scale Metabolic model (GEM) was published 1, GEMs have provided an invaluable tool for analysis of the physiological capabilities of living organisms. Initially, it was single-cell organisms mainly bacteria, but more complex were added later. Development of the human metabolic reconstruction (2, 3) and reorganisation it with tissue-specific submodels into an integrated whole-body model (4) open the avenue for a better understanding of pathological processes such as cancer development. Apart from human GEM, several large collections of models were created by manual curation (5), semi-automated reconstruction (6), or fully-automated reconstruction (see in 7) techniques.