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Jörg Walossek

dblp:52/8711 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › synthetic biology
genetic construct design
0.112010
SynBioWave - a real-time communication platform for molecular and synthetic biology · Bioinform. 2010
Bioinformatics and computational biology
synthetic biology
0.112010
SynBioWave - a real-time communication platform for molecular and synthetic biology · Bioinform. 2010
Collaborative and social computing
collaborative systems
0.012010
SynBioWave - a real-time communication platform for molecular and synthetic biology · Bioinform. 2010
Collaborative and social computing › computer-supported cooperative work › collaborative applications
real-time collaboration
0.012010
SynBioWave - a real-time communication platform for molecular and synthetic biology · Bioinform. 2010

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

robot-user communication framework · 0.2
YearPublicationVenuePosition
2010 SynBioWave - a real-time communication platform for molecular and synthetic biology
abstract
SUMMARY: Synthetic Biology is advanced by many users and relies on the assembly of genetic elements to devices, systems and finally genomes. SynBioWave is a software suite that enables multiple distributed users to analyze and construct genetic parts in real-time collaboration. It builds on Google Wave and provides an extensible robot-robot-user communication framework, a menu driven user interface, biological data handling including DAS and an internal database communication. We demonstrate its use by implementing robots for gene-data retrieval, manipulation and display. The initial development of SynBioWave demonstrates the power of the underlying Google Wave protocol for Synthetic Biology and lays the foundation for continuous and user-friendly extensions. Specialized wave-robots with a manageable set of capabilities will divide and conquer the complex task of creating a genome in silico. AVAILABILITY: The robot is available at [email protected], the source code at http://synbiowave.sourceforge.net
Paul R. Staab, Jörg Walossek, David Nellessen, Raik Grünberg, Katja M. Arndt, Kristian M. Müller
Bioinform.2