title: Big data mining powers fungal research: recent advances in fission yeast systems biology approaches.
abstract: Biology research has entered into big data era. Systems biology approaches therefore become the powerful tools to obtain the whole landscape of how cell separate, grow, and resist the stresses. Fission yeast Schizosaccharomyces pombe is wonderful unicellular eukaryote model, especially studying its division and metabolism can facilitate to understanding the molecular mechanism of cancer and discovering anticancer agents. In this perspective, we discuss the recent advanced fission yeast systems biology tools, mainly focus on metabolomics profiling and metabolic modeling, protein-protein interactome and genetic interaction network, DNA sequencing and applications, and high-throughput phenotypic screening. We therefore hope this review can be useful for interested fungal researchers as well as bioformaticians.
authors.affiliation: State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, 2005 Song-Hu Road, Shanghai, 200438, China. zhw2001@med.cornell.edu.|Division of Infectious Diseases, Weill Medical College of Cornell University, 413 E 69th St, New York, NY, 10021, USA. zhw2001@med.cornell.edu.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Wang
mesh_terms: D057225:Data Mining / Q000639:trends*; D004843:Epistasis, Genetic; D055432:Metabolomics / Q000639:trends*; D012106:Research; D012568:Schizosaccharomyces / Q000235:genetics*; D049490:Systems Biology / Q000639:trends*
keywords: Big data; Omics; Schizosaccharomyces pombe; Systems biology