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Andreas Kähäri

dblp:70/2176 · also Andreas K. Kähäri · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2008
0000-0001-9945-5694ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 3Systems, architecture and hardware · 1 · 1 first-author

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%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › data integration › biological data integration
distributed annotation system
0.112005
Dasty and UniProt DAS: a perfect pair for protein feature visualization · Bioinform. 2005
Bioinformatics and computational biology › protein sequence analysis
protein sequence annotation
0.012005
Dasty and UniProt DAS: a perfect pair for protein feature visualization · Bioinform. 2005
YearPublicationVenuePosition
2008 Integrating biological data - the Distributed Annotation System
abstract
BACKGROUND: The Distributed Annotation System (DAS) is a widely adopted protocol for dynamically integrating a wide range of biological data from geographically diverse sources. DAS continues to expand its applicability and evolve in response to new challenges facing integrative bioinformatics. RESULTS: Here we describe the various infrastructure components of DAS and present a new extended version of the DAS specification. Version 1.53E incorporates several recent developments, including its extension to serve new data types and an ontology for protein features. CONCLUSION: Our extensions to the DAS protocol have facilitated the integration of new data types, and our improvements to the existing DAS infrastructure have addressed recent challenges. The steadily increasing numbers of available data sources demonstrates further adoption of the DAS protocol.
Andrew M. Jenkinson, Mario Albrecht, Ewan Birney, Hagen Blankenburg, Thomas A. Down, Robert D. Finn, Henning Hermjakob, Tim J. P. Hubbard, Rafael C. Jiménez, Philip Jones, Andreas Kähäri, Eugene Kulesha, José R. Macías, Gabrielle A. Reeves, Andreas Prlic
BMC Bioinform.11
2007 Integrating sequence and structural biology with DAS
abstract
BACKGROUND: The Distributed Annotation System (DAS) is a network protocol for exchanging biological data. It is frequently used to share annotations of genomes and protein sequence. RESULTS: Here we present several extensions to the current DAS 1.5 protocol. These provide new commands to share alignments, three dimensional molecular structure data, add the possibility for registration and discovery of DAS servers, and provide a convention how to provide different types of data plots. We present examples of web sites and applications that use the new extensions. We operate a public registry of DAS sources, which now includes entries for more than 250 distinct sources. CONCLUSION: Our DAS extensions are essential for the management of the growing number of services and exchange of diverse biological data sets. In addition the extensions allow new types of applications to be developed and scientific questions to be addressed. The registry of DAS sources is available at http://www.dasregistry.org.
Andreas Prlic, Thomas A. Down, Eugene Kulesha, Robert D. Finn, Andreas Kähäri, Tim J. P. Hubbard
BMC Bioinform.5
2005 Dasty and UniProt DAS: a perfect pair for protein feature visualization
abstract
In this study, we present two freely available and complementary Distributed Annotation System (DAS) resources: a DAS reference server that provides up-to-date sequence and annotation from UniProt, with additional feature links and database cross-references from InterPro and a DAS client implemented using Java and Macromedia Flash that is optimized for the display of protein features.
Philip Jones, Nisha Vinod, Thomas A. Down, Andre Hackmann, Andreas Kähäri, Ernst Kretschmann, Antony F. Quinn, Daniela Wieser, Henning Hermjakob, Rolf Apweiler
Bioinform.5
1999 Convergence Acceleration for the Euler Equations Using a Parallel Semi-Toeplitz Preconditioner
Andreas Kähäri, Samuel Sundberg
Euro-Par1