Web page: http://www.nib.si
Vecna pot 111
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-4776-7164
Institutions: National Institute of Biologyhttps://orcid.org/0000-0001-7484-6031
Projects: HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, pISA-tree, MOA - Multiomics analysis of potato response to Potato virus Y (PVY) infection, SUSPHIRE - Sustainable Bioproduction of Pheromones for Insect Pest Control in Agriculture, INDIE - Biotechnological production of sustainable indole, FAIRDOM user meeting, _p_stRT
Institutions: National Institute of Biologyhttps://orcid.org/0000-0001-5906-8569
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-3644-7827
Ph.D. in Biotechnology
Research associate at Department of Biotechnology and Systems Biology, National Institute of Biology
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-0913-2715
Institutions: National Institute of Biologyhttps://orcid.org/0000-0002-1669-6482
Roles: PhD Student
Expertise: Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming, Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Visualization, Data Integration, Computational Biology
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology, Data Integration
Computational Biologist, Young Researcher at Department of Biotechnology and Systems Biology, National Institute of Biology NIB and PhD candidate in Statistics, Ljubljana, Slovenia
Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!
At our users meeting you can:
- Learn why data and model management is
Programme: Test program
Organisms: Homo sapiens
Short Name: stRT
Title: Solanum tuberosum Reference Transcriptomes
Description: Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato
pISA projects path: ../pISA-Projects
Local pISA-tree organisation: National Institute of Biology
pISA project creation date: 2019-10-22
pISA project creator: Maja Zagorscak, Ziva Ramsak, Marko Petek
Project funding code: This project was supported by the Slovenian Research Agency (grants P4-0165, J4-4165, J4-7636,
Our world is changing fast! Key global trends are rapid urbanisation, growing and ageing populations, and increased prosperity. This results in depletion of natural and petrochemical resources and climate change, which affects the quality of the environment and people's lives. Therefore, developing a bio-based economy is key to sustain our planet in the long term. Raw materials will have to be recruited from renewable sources.
Industrial biotechnology is potentially a very powerful technology in
pISA-tree: Standard project directory tree (ISA compliant)
Development of support for standardization of directory trees to suport ISA framework of research organization. We are developing a set of batch/make files to enable creation of trees for storage of assets (data/presentations/protocols/scripts) and description files that hold associated metadata for Investigation / Study / Assay levels.
SUSPHIRE aims to provide a sustainable, low-cost biomanufacturing platform for the commercial production of insect pheromones.
Time series response of potato cv. Désirée, which is tolerant to PVY infection, was analysed in both inoculated as well as upper non-inoculated leaves. Additionally, transgenic plants deficient in accumulation of salicylic acid (NahG- Désirée) were studied in the same setting.
This investigation is published under the CC BY 4.0 license.
Despite the intensive use of agrochemicals, plant pathogens are responsible for huge yield losses worldwide. Understanding the interaction between plant and pathogens is crucial to ensure long lasting and environmentally friendly system of plant protection. Therefore research of the most important human food crops in combination with their pathogens is one of the highest priorities for sustainable agriculture.
The aim of the proposed research project is to bring new perspective into understanding