Implications of Big Data for cell biology. Author Kara Dolinski, Olga Troyanskaya Publication Year 2015 Type Journal Article Abstract "Big Data" has surpassed "systems biology" and "omics" as the hottest buzzword in the biological sciences, but is there any substance behind the hype? Certainly, we have learned about various aspects of cell and molecular biology from the many individual high-throughput data sets that have been published in the past 15-20 years. These data, although useful as individual data sets, can provide much more knowledge when interrogated with Big Data approaches, such as applying integrative methods that leverage the heterogeneous data compendia in their entirety. Here we discuss the benefits and challenges of such Big Data approaches in biology and how cell and molecular biologists can best take advantage of them. Keywords Molecular Biology, Systems Biology Journal Mol Biol Cell Volume 26 Issue 14 Pages 2575-8 Date Published 2015 Jul 15 ISSN Number 1939-4586 DOI 10.1091/mbc.E13-12-0756 Alternate Journal Mol Biol Cell PMCID PMC4501356 PMID 26174066 PubMedPubMed CentralGoogle ScholarBibTeXEndNote X3 XML