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Dominik Lindner

dblp:74/1347 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-8038-1250ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

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
2 papers
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 50% Data integration and cleaning · 50%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
bioimage informatics
1.012026
IDR searcher: a search engine solution for public image resources · Bioinform. 2026
Data integration and cleaning › data discovery
dataset discovery
0.312026
IDR searcher: a search engine solution for public image resources · Bioinform. 2026
Information retrieval
search engines
0.312026
IDR searcher: a search engine solution for public image resources · Bioinform. 2026
Bioinformatics and computational biology
phylogenetics
0.112009
TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops · Bioinform. 2009
Bioinformatics and computational biology › phylogenetics
phylogenetic inference
0.112009
TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops · Bioinform. 2009
Bioinformatics and computational biology › molecular evolution
recombination detection
0.112009
TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops · Bioinform. 2009
High-performance computing
cluster computing
0.012009
TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops · Bioinform. 2009

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

metadata visualization · 2.0web services · 0.2maximum likelihood · 0.2bayesian inference · 0.2
YearPublicationVenuePosition
2026 IDR searcher: a search engine solution for public image resources
abstract
MOTIVATION: In recent years, public image resources have emerged, but finding quality data efficiently remains a challenge, therefore limiting reuse. RESULTS: IDR searcher is an open-source search engine designed to facilitate the exploration of datasets hosted in public bioimaging resources. The application offers a fast, efficient, cost-effective solution for discovering datasets and has the potential to address current disparities in finding quality datasets for exploratory research and can be combined with metadata visualization tools to enhance usability for the scientific community. AVAILABILITY: IDR searcher is deployed using Ansible playbooks and released under the GPL v2 license. The source code associated with this manuscript is available at https://doi.org/10.5281/zenodo.20641515.
Khaled Mohamed, William J. Moore, Dominik Lindner, Josh Moore, Jason R. Swedlow, Petr Walczysko, Frances Wong, Jean-Marie Burel
Bioinform.3
2009 TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops
abstract
UNLABELLED: TOPALi v2 simplifies and automates the use of several methods for the evolutionary analysis of multiple sequence alignments. Jobs are submitted from a Java graphical user interface as TOPALi web services to either run remotely on high-performance computing clusters or locally (with multiple cores supported). Methods available include model selection and phylogenetic tree estimation using the Bayesian inference and maximum likelihood (ML) approaches, in addition to recombination detection methods. The optimal substitution model can be selected for protein or nucleic acid (standard, or protein-coding using a codon position model) data using accurate statistical criteria derived from ML co-estimation of the tree and the substitution model. Phylogenetic software available includes PhyML, RAxML and MrBayes. AVAILABILITY: Freely downloadable from http://www.topali.org for Windows, Mac OS X, Linux and Solaris.
Iain Milne, Dominik Lindner, Micha Bayer, Dirk Husmeier, Gráinne McGuire, David F. Marshall, Frank Wright
Bioinform.2