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EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing

SUMMARY: The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein struct...

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Detalles Bibliográficos
Autores principales: Berndsen, Zachary, Bowman, Charles, Jang, Haerin, Ward, Andrew B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860320/
https://www.ncbi.nlm.nih.gov/pubmed/28961740
http://dx.doi.org/10.1093/bioinformatics/btx500
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author Berndsen, Zachary
Bowman, Charles
Jang, Haerin
Ward, Andrew B
author_facet Berndsen, Zachary
Bowman, Charles
Jang, Haerin
Ward, Andrew B
author_sort Berndsen, Zachary
collection PubMed
description SUMMARY: The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein structures using a smaller computational footprint, we saw the need for a fast and simple tool for data pre-processing that could run independent of existing high-performance computing (HPC) infrastructures. EMHP provides a data preprocessing platform in a small package that requires minimal python dependencies to function. AVAILABILITY AND IMPLEMENTATION: https://www.bitbucket.org/chazbot/emhp Apache 2.0 License SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58603202018-03-21 EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing Berndsen, Zachary Bowman, Charles Jang, Haerin Ward, Andrew B Bioinformatics Applications Notes SUMMARY: The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein structures using a smaller computational footprint, we saw the need for a fast and simple tool for data pre-processing that could run independent of existing high-performance computing (HPC) infrastructures. EMHP provides a data preprocessing platform in a small package that requires minimal python dependencies to function. AVAILABILITY AND IMPLEMENTATION: https://www.bitbucket.org/chazbot/emhp Apache 2.0 License SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-12-01 2017-08-07 /pmc/articles/PMC5860320/ /pubmed/28961740 http://dx.doi.org/10.1093/bioinformatics/btx500 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Berndsen, Zachary
Bowman, Charles
Jang, Haerin
Ward, Andrew B
EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title_full EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title_fullStr EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title_full_unstemmed EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title_short EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
title_sort emhp: an accurate automated hole masking algorithm for single-particle cryo-em image processing
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860320/
https://www.ncbi.nlm.nih.gov/pubmed/28961740
http://dx.doi.org/10.1093/bioinformatics/btx500
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