Big data in cryoEM: automated collection, processing and accessibility of EM data
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
Baldwin, Philip R
Eng, Edward T
Rice, William J
Noble, Alex J
Negro, Carl J
Cianfrocco, Michael A
Pottert, Clinton S
Carraghert, Bridget
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Alternative Title
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.
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
Source Title
CURRENT OPINION IN MICROBIOLOGY
Publisher
CURRENT BIOLOGY LTD
Series/Report No.
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Date
2018-06-01
DOI
10.1016/j.mib.2017.10.005
Type
Review