TY - JOUR
T1 - Implications of Big Data for cell biology
AU - Dolinski, Kara
AU - Troyanskaya, Olga G.
N1 - Publisher Copyright:
© 2015 Dolinski and Troyanskaya.
PY - 2015/7/15
Y1 - 2015/7/15
N2 - "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.
AB - "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.
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U2 - 10.1091/mbc.E13-12-0756
DO - 10.1091/mbc.E13-12-0756
M3 - Review article
C2 - 26174066
AN - SCOPUS:84937114276
SN - 1059-1524
VL - 26
SP - 2575
EP - 2578
JO - Molecular biology of the cell
JF - Molecular biology of the cell
IS - 14
ER -