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Michael Angerman

dblp:76/9984 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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.

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

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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud applications
cloud-based scientific computing		 0.112011
Menu-driven cloud computing and resource sharing for R and Bioconductor · Bioinform. 2011
Bioinformatics and computational biology › bioinformatics infrastructure
reproducible bioinformatics pipelines		 0.012011
Menu-driven cloud computing and resource sharing for R and Bioconductor · Bioinform. 2011

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

web server · 0.2cloud computing · 0.2
YearPublicationVenuePosition
2011 Menu-driven cloud computing and resource sharing for R and Bioconductor
abstract
SUMMARY: We report CRdata.org, a cloud-based, free, open-source web server for running analyses and sharing data and R scripts with others. In addition to using the free, public service, CRdata users can launch their own private Amazon Elastic Computing Cloud (EC2) nodes and store private data and scripts on Amazon's Simple Storage Service (S3) with user-controlled access rights. All CRdata services are provided via point-and-click menus. AVAILABILITY AND IMPLEMENTATION: CRdata is open-source and free under the permissive MIT License (opensource.org/licenses/mit-license.php). The source code is in Ruby (ruby-lang.org/en/) and available at: github.com/seerdata/crdata. CONTACT: [email protected].
Hamid Bolouri, Rajiv Dulepet, Michael Angerman
 Bioinform.3