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Charles Bowman

dblp:210/9188 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-3255-0264ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics
cryo-EM image analysis
0.312017
EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing · Bioinform. 2017
High-performance computing
scientific computing systems
0.112017
EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing · Bioinform. 2017

Methods — techniques the papers use, named apart from their topics

image processing · 0.6
YearPublicationVenuePosition
2017 EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
abstract
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. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Zachary Berndsen, Charles Bowman, Haerin Jang, Andrew B. Ward
Bioinform.2