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Malte Brinkmeyer

dblp:14/2466 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Theory of computation · 2 · 2 first-authorApplied, 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%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
phylogenetics
0.112008
EPoS: a modular software framework for phylogenetic analysis · Bioinform. 2008
Bioinformatics and computational biology › phylogenetics
phylogenetic inference
0.112008
EPoS: a modular software framework for phylogenetic analysis · Bioinform. 2008
Bioinformatics and computational biology › phylogenetics › phyloinformatics
tree visualization
0.112008
EPoS: a modular software framework for phylogenetic analysis · Bioinform. 2008

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

supertree methods · 0.1distance-based tree construction · 0.1consensus tree · 0.1
YearPublicationVenuePosition
2013 FlipCut Supertrees: Towards Matrix Representation Accuracy in Polynomial Time
Malte Brinkmeyer, Thasso Griebel, Sebastian Böcker
Algorithmica1
2011 FlipCut Supertrees: Towards Matrix Representation Accuracy in Polynomial Time
Malte Brinkmeyer, Thasso Griebel, Sebastian Böcker
COCOON1
2008 EPoS: a modular software framework for phylogenetic analysis
abstract
Abstract Summary: Estimating Phylogenies of Species (EPoS) is a modular software framework for phylogenetic analysis, visualization and data management. It provides a plugin-based system that integrates a storage facility, a rich user interface and the ability to easily incorporate new methods, functions and visualizations. EPoS ships with persistent data management, a set of well-known phylogenetic algorithms and a multitude of tree visualization methods and layouts. Implemented algorithms cover distance-based tree construction, consensus trees and various graph-based supertree methods. The rendering system can be customized for, say, different edge and node styles. Availability: Executables and source code are available under the LGPL license at http://www.bio.informatik.uni-jena.de/epos. Contact: [email protected] Supplementary information: The homepage contains tutorials and documentation for both users and programmers who want to develop plugins and extensions.
Thasso Griebel, Malte Brinkmeyer, Sebastian Böcker
Bioinform.2