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Emergence and Potential of High‐Throughput and Integrative Approaches in Pathology
Author(s) -
Frutos Roger,
Viari Alain,
Vachiéry Nathalie,
Boyer Frédéric,
Lefrançois Thierry,
Martinez Dominique
Publication year - 2008
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1428.060
Subject(s) - pace , novelty , metabolomics , adaptation (eye) , throughput , computer science , computational biology , genomics , proteomics , biology , data science , bioinformatics , neuroscience , genome , gene , genetics , psychology , social psychology , telecommunications , geodesy , wireless , geography
In recent years a major revolution has occurred in the analysis and understanding of pathogenesis and host–pathogens/parasite interactions. This revolution has been achieved through the emergence of the high‐throughput integrative approaches used in the “omics” fields—such as genomics, transcriptomics, proteomics, interactomics, and metabolomics. The novelty of these approaches has resulted from the development of high‐throughput apparatus, assisted by the increasing power and software of computers that allow for high‐speed, multifactorial simultaneous analysis of numerous samples. This level of integration allows for in‐depth analysis of mechanisms, pace, and patterns of the evolution and adaptation of pathogens. This evolution from linear to multifactorial approaches has opened new ways of creating and characterizing new vaccines, diagnostic candidates, and drug targets.