Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.mib.2017.10.005
Title: Big data in cryoEM: automated collection, processing and accessibility of EM data
Authors: Baldwin, Philip R
Tan, Yong Zi 
Eng, Edward T
Rice, William J
Noble, Alex J
Negro, Carl J
Cianfrocco, Michael A
Pottert, Clinton S
Carraghert, Bridget
Keywords: Science & Technology
Life Sciences & Biomedicine
Microbiology
TILT-SERIES ALIGNMENT
BEAM-INDUCED MOTION
PARTICLE-PICKING
CRYOELECTRON TOMOGRAPHY
ELECTRON-MICROSCOPY
DATA-ACQUISITION
CLASSIFICATION
SELECTION
SEGMENTATION
MACROMOLECULES
Issue Date: 1-Jun-2018
Publisher: CURRENT BIOLOGY LTD
Citation: Baldwin, Philip R, Tan, Yong Zi, Eng, Edward T, Rice, William J, Noble, Alex J, Negro, Carl J, Cianfrocco, Michael A, Pottert, Clinton S, Carraghert, Bridget (2018-06-01). Big data in cryoEM: automated collection, processing and accessibility of EM data. CURRENT OPINION IN MICROBIOLOGY 43 : 1-Aug. ScholarBank@NUS Repository. https://doi.org/10.1016/j.mib.2017.10.005
Abstract: The scope and complexity of cryogenic electron microscopy (cryoEM) data has greatly increased, and will continue to do so, due to recent and ongoing technical breakthroughs that have led to much improved resolutions for macromolecular structures solved using this method. This big data explosion includes single particle data as well as tomographic tilt series, both generally acquired as direct detector movies of ∼10–100 frames per image or per tilt-series. We provide a brief survey of the developments leading to the current status, and describe existing cryoEM pipelines, with an emphasis on the scope of data acquisition, methods for automation, and use of cloud storage and computing.
Source Title: CURRENT OPINION IN MICROBIOLOGY
URI: https://scholarbank.nus.edu.sg/handle/10635/227211
ISSN: 13695274
18790364
DOI: 10.1016/j.mib.2017.10.005
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