Ulas, Thomas
Works: | 23 works in 33 publications in 2 languages and 60 library holdings |
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Genres: | Law commentaries |
Roles: | Author, Other, Correspondent |
4 editions published in 1553 in Latin and held by 15 WorldCat member libraries worldwide
5 editions published in 1531 in Latin and Undetermined and held by 5 WorldCat member libraries worldwide
2 editions published in 1553 in Latin and Undetermined and held by 5 WorldCat member libraries worldwide
1 edition published in 1553 in Latin and held by 4 WorldCat member libraries worldwide
2 editions published in 1531 in Undetermined and English and held by 3 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1553 in Latin and held by 2 WorldCat member libraries worldwide
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2020 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1531 in Latin and held by 2 WorldCat member libraries worldwide
1 edition published in 1575 in Latin and held by 2 WorldCat member libraries worldwide
1 edition published in 2021 in English and held by 1 WorldCat member library worldwide
Genome-scale metabolic models are of high interest in a number of different research fields. Flux balance analysis (FBA) and other mathematical methods allow the prediction of the steady-state behavior of metabolic networks under different environmental conditions. However, many existing applications for flux optimizations do not provide a metabolite-centric view on fluxes. Metano is a standalone, open-source toolbox for the analysis and refinement of metabolic models. While flux distributions in metabolic networks are predominantly analyzed from a reaction-centric point of view, the Metano methods of split-ratio analysis and metabolite flux minimization also allow a metabolite-centric view on flux distributions. In addition, we present MMTB (Metano Modeling Toolbox), a web-based toolbox for metabolic modeling including a user-friendly interface to Metano methods. MMTB assists during bottom-up construction of metabolic models by integrating reaction and enzymatic annotation data from different databases. Furthermore, MMTB is especially designed for non-experienced users by providing an intuitive interface to the most commonly used modeling methods and offering novel visualizations. Additionally, MMTB allows users to upload their models, which can in turn be explored and analyzed by the community. We introduce MMTB by two use cases, involving a published model of Corynebacterium glutamicum and a newly created model of Phaeobacter inhibens
1 edition published in 2017 in English and held by 1 WorldCat member library worldwide
Abstract: Cellular phenotyping, in particular immune cell phenotyping, has become an integral part of personalized and stratified medicine approaches in order to facilitate classification of patient cohorts according to proteomic, transcriptomic or genomic information, with the ultimate goal to increase treatment efficiency and outcome. However, choosing the optimal and most informative phenotyping approach to discover novel and predictive biomarkers for patient cohorts has become a major challenge and greatly hampers knowledge gain to successfully develop and tailor new and existing therapies to suitable patient collectives [1]. Recent technological innovations, such as single-cell proteomics (Mass Cytometry) and single-cell transcriptomics have become available which possess the power to measure thousands of features for thousands to millions of cells in parallel, thereby allowing the deep characterization of complex cellular networks in homeostasis as well as perturbations under disease conditions [2]. These multidimensional approaches dramatically accelerate the discovery of novel biomarkers for disease prediction and progression within personalized medicine approaches. These approaches now allow for the characterization of small amounts of patient material both on the protein and on the transcriptome level to allow for an unbiased, high-dimensional, and bioinformatically supported systems biology approach which enables discovery, design and implementation of novel biomarkers into the clinical routine in a rapid fashion. In this review, we will discuss the available technologies and recent applications and scientific advances enabled by these technologies highlighting our view of how to integrate these technologies into translational research to achieve a more reliable, more rapid and better informed approach to molecular phenotyping ultimately achieving the level of knowledge needed to implement personalized medicine approaches for a wider patient base. Highlights: Provides an overview about different available high-content technologies with single cell resolution. Provides a comprehensive overview about the current state of knowledge for transcriptomic and proteomic single cell analysis. Discusses the potential of technologies with single cell resolution to accelerate clinical biomarker discovery
1 edition published in 1553 in Latin and held by 1 WorldCat member library worldwide
1 edition published in 1559 in Undetermined and held by 1 WorldCat member library worldwide


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- SpringerLink (Online service) Other
- Schultze, Joachim L. Other
- Egenolff, Christian 1502-1555 Printer Dedicatee
- Justinian I Byzantinisches Reich, Kaiser 482-565 Other
- Lorichius, Iosephus Other Dedicatee
- Wechel, Chrétien 1495-1554 Bookseller Printer Publisher
- Aschenbrenner, Anna C.
- Becker, Matthias
- Händler, Kristian
- Haloander, Johannes A. Author