Big data in cryoEM: automated collection, processing and accessibility of EM data-Reference-Cited by-同舟云学术

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Big data in cryoEM: automated collection, processing and accessibility of EM data

Published:2018-06 Issue: Volume:43 Page:1-8
ISSN:1369-5274
Container-title:Current Opinion in Microbiology
language:en
Short-container-title:Current Opinion in Microbiology

Author:

Baldwin Philip R,Tan Yong Zi,Eng Edward T,Rice William J,Noble Alex J,Negro Carl J,Cianfrocco Michael A,Potter Clinton S,Carragher Bridget

Funder

NIH

Simons Foundation

Agency for Science, Technology and Research Singapore

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Microbiology

Reference98 articles.

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2. An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics;Taylor;BMC Bioinf,2010

3. MapReduce based parallel neural networks in enabling large scale machine learning;Liu;Comput Intell Neurosci,2015

4. Biochemistry. The resolution revolution;Kuhlbrandt;Science,2014

5. Architectures of lipid transport systems for the bacterial outer membrane;Ekiert;Cell,2017

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2. The advent of preventive high-resolution structural histopathology by artificial-intelligence-powered cryogenic electron tomography;Frontiers in Molecular Biosciences;2024-05-29

3. Single particle cryo-electron microscopy with an enhanced 200 kV cryo-TEM configuration achieves near-atomic resolution;2024-05-10

4. Machine learning approaches to cryoEM density modification differentially affect biomacromolecule and ligand density quality;Frontiers in Molecular Biosciences;2024-04-18

5. CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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