Jana Schwarzerová

Brno University of Technology

Czech Republic

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Articles (9)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Collaborators (16)

Darina Cejkova

assistant professor

Brno University of Technology

CZECH REPUBLIC

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Katerina Sabatova

Brno University of Technology

CZECH REPUBLIC

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Jakub Jez

Head of Scientific Core Facility

AUSTRIA

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Miroslava Palíková

Associate Professor

Mendel University in Brno

CZECH REPUBLIC

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Adéla Kondé

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Katerina Mrazova

Czech Acad Sci, Institute of Scientific Instruments

CZECH REPUBLIC

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Vojtěch Bartoň

Brno University of Technology

CZECH REPUBLIC

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Jana Nebesářová

head/researcher

Charles University

CZECH REPUBLIC

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Dirk Walther

GERMANY

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Steffen Waldherr

Ass.-Prof.

Universität Wien

AUSTRIA

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Karel Sedlar

Brno University of Technology

CZECH REPUBLIC

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Jakob Weiszmann

Universität Wien

AUSTRIA

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Jan Bouchal

Palacký University, Olomouc

CZECH REPUBLIC

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Iva Pernicová

Brno University of Technology

CZECH REPUBLIC

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Matej Lexa

Assistant Professor

CZECH REPUBLIC

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Valentine Provazník

Professor

Masaryk University

CZECH REPUBLIC

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Jana Schwarzerová

Research Interests

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Articles (9)

Deletions of LPL and NKX3.1 in Prostate Cancer Progression: Game Changers or By-Standers in Tumor Evolution

MInfer: Bridging MetaboAnalyst and Jacobian analysis for metabolomic networks

Genetic and phenotypic diversity of Flavobacterium psychrophilum isolates from Czech salmonid fish farms

A perspective on genetic and polygenic risk scores—advances and limitations and overview of associated tools

Enhanced metabolomic predictions using concept drift analysis: identification and correction of confounding factors

The histone chaperones <scp>ASF1</scp> and <scp>HIRA</scp> are required for telomere length and <scp>45S rDNA</scp> copy number homeostasis

Metabolome plasticity in 241 Arabidopsis thaliana accessions reveals evolutionary cold adaptation processes

Interpretable machine learning methods for predictions in systems biology from omics data

The First Insight into Polyhydroxyalkanoates Accumulation in Multi-Extremophilic Rubrobacter xylanophilus and Rubrobacter spartanus

Collaborators (16)

Darina Cejkova

Katerina Sabatova

Jakub Jez

Miroslava Palíková

Adéla Kondé

Katerina Mrazova

Vojtěch Bartoň

Jana Nebesářová

Dirk Walther

Steffen Waldherr

Karel Sedlar

Jakob Weiszmann

Jan Bouchal

Iva Pernicová

Matej Lexa

Valentine Provazník

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