James, K.; Wipat, A.; Cockell, S. Expanding Interactome Analyses beyond Model Eukaryotes. Preprints2021, 2021100185. https://doi.org/10.20944/preprints202110.0185.v1
APA Style
James, K., Wipat, A., & Cockell, S. (2021). Expanding Interactome Analyses beyond Model Eukaryotes. Preprints. https://doi.org/10.20944/preprints202110.0185.v1
Chicago/Turabian Style
James, K., Anil Wipat and Simon Cockell. 2021 "Expanding Interactome Analyses beyond Model Eukaryotes" Preprints. https://doi.org/10.20944/preprints202110.0185.v1
Abstract
Interactome analyses have traditionally been applied to yeast, human and other model organisms due to the availability of protein-protein interactions data for these species. Recently these techniques have been applied to more diverse species using computational interaction prediction from genome sequence and other data types. This review describes the various types of computational interactome networks that can be created and how they have been used in diverse eukaryotic species, highlighting some of the key interactome studies in non-model organisms.
Keywords
systems biology; integrative bioinformatics; interactomics; eukaryotes; non-models; network biology
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.