T
Thomas Schmidt
Researcher at Swiss Institute of Bioinformatics
Publications - 52
Citations - 3487
Thomas Schmidt is an academic researcher from Swiss Institute of Bioinformatics. The author has contributed to research in topics: Gene & Thermal energy storage. The author has an hindex of 23, co-authored 50 publications receiving 2373 citations. Previous affiliations of Thomas Schmidt include Lüneburg University & University of Zurich.
Papers
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Journal ArticleDOI
Structural and functional development of twelve newly established floodplain pond mesocosms
Sebastian Stehle,Alessandro Manfrin,Alexander Feckler,Tobias Graf,Tanja Joschko,Jonathan F. Jupke,Christian Noss,Verena Rösch,Jens Schirmel,Thomas Schmidt,Jochen P. Zubrod,Ralf Schulz +11 more
TL;DR: In this article , the authors report results of a comprehensive ecosystem development monitoring for twelve floodplain pond mesocosms (FPM; 23.5 m × 7.5m × 1.5 meters each) located in southwestern Germany.
Posted ContentDOI
Disentangling the impact of environmental and phylogenetic constraints on prokaryotic strain diversity
Oleksandr M. Maistrenko,Daniel R. Mende,Mechthild Luetge,Falk Hildebrand,Thomas Schmidt,Simone S. Li,Luis Pedro Coelho,Jaime Huerta-Cepas,Shinichi Sunagawa,Peer Bork +9 more
TL;DR: It is shown that many pan-genome features such as functional diversity and core genome nucleotide diversity are correlated to each other, and habitat flexibility as approximated by species ubiquity is associated with several pan- Genome features, particularly core genome size.
Journal ArticleDOI
The genes coding for tRNATyr of Drosophila melanogaster: Localization and determination of the gene numbers
TL;DR: Transfer RNATyr (anticodon GΨA) was isolated from Drosophila melanogaster by means of Sepharose 4B, RPC-5, and polyacrylamide gel electrophoresis and restriction enzyme analysis of genomic DNA indicated that the haploid Dosophila genome codes for about 23 tRNATyr genes.
Journal ArticleDOI
treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses.
Ruizhu Huang,Charlotte Soneson,Charlotte Soneson,Pierre-Luc Germain,Pierre-Luc Germain,Thomas Schmidt,Christian von Mering,Mark D. Robinson +7 more
TL;DR: TreeclimbR as mentioned in this paper proposes multiple candidates that capture the latent signal and pinpoints branches or leaves that contain features of interest in a data-driven way, in a hierarchical tree of entities.
Posted ContentDOI
A Family of Interaction-Adjusted Indices of Community Similarity
TL;DR: It is argued that interaction-adjusted indices capture novel aspects of diversity outside the scope of traditional approaches, highlighting the biological significance of ecological association networks in the interpretation of community similarity.