Dataverse for Biological Research Centre. The HUN-REN Biological Research Centre, Szeged (HUN-REN BRC Szeged) is an outstanding institution of the internationally acknowledged Hungarian biological research. The HUN-REN Biological Research Centre was founded in 1971. The 4 institutes of HUN-REN BRC - the Institutes of Biophysics, Biochemistry, Genetics and Plant Biology - employ about 260 scientists whose work is hall-marked by highly appreciated international scientific publications and patents. The research topics include several fields of molecular and cell biology from the industrial utilization of bacteria through controlled improvement of cultivated plants to the problems of human health and environmental protection. HUN-REN BRC is mainly a scientific basic research centre, but scientists of HUN-REN BRC play an initiative role in the foundation and promotion of biotechnological companies, as well as in educational duties. The successful activity and high-level scientific research pursued in HUN-REN BRC were also acknowledged by the European Molecular Biological Organization (EMBO) and in 2000 the European Union awarded the title of “Centre of Excellence“ to HUN-REN BRC.
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Practical guides for using the Short Read Archive (SRA) sequence data repository
Oct 28, 2025 - Scientific data management
Zoltán, Hegedűs, 2025, "Practical guides for using the Short Read Archive (SRA) sequence data repository", https://hdl.handle.net/21.15109/ARP/B6CMUJ, ARP, V1
The Short Read Archive (SRA) is NCBI's primary public database for storing raw next-generation sequencing data from worldwide research. This dataset contains practical guides, explaining how to use the SRA.
Short_Read_Archive_alapveto_gyakorlati_lepesek.pdf
Oct 28, 2025 - Practical guides for using the Short Read Archive (SRA) sequence data repository
Adobe PDF - 1.4 MB - MD5: 5a3c31c15198b887942958dc1a300224
AdatrepozitóriumNGSÚj Generációs SzekvenálásÚtmutató
Rövid útmutató az SRA alapvető funkcióinak használatához
Short_Read_Archive_basic_practical_steps.pdf
Oct 28, 2025 - Practical guides for using the Short Read Archive (SRA) sequence data repository
Adobe PDF - 1.4 MB - MD5: d49c0263142e178db98174c109f87e9c
DatarepositoryGuideNext Generation SequencingNGS
Short practical guide about the basic functions of SRA
Membrane Biophysics Research Group(Biological Research Centre, Szeged)
Jun 25, 2025Institute of Biophysics
FAIR data management in experimental biology
Jun 25, 2025 - Scientific data management
Zoltán, Hegedűs, 2025, "FAIR data management in experimental biology", https://hdl.handle.net/21.15109/ARP/AENRRL, ARP, V1
The documents on the repository cover aspects of FAIR data management in the field of experimental biology. The documents focus primarily on cellular and molecular biology, and the specific examples and resources cited are drawn from this field, but the information provided is ty...
FAIR_Adatkezeles_sejt_es_molBiol.pdf
Jun 25, 2025 - FAIR data management in experimental biology
Adobe PDF - 225.4 KB - MD5: 4275fd4ec4436c5b7386f6a621b7d568
FAIR_Datamanagement_cell_and_molBiol.pdf
Jun 25, 2025 - FAIR data management in experimental biology
Adobe PDF - 202.8 KB - MD5: 9c2b24c65a5368a4d3104f60c0eb4cf8
Scientific data management(Biological Research Centre, Szeged)
Jun 25, 2025Bioinformatics Group
This repository contains documents related to aspects of scientific data management issues in the field of experimental biology.
Symbiosis and Plant Genomics Group(Biological Research Centre, Szeged)
Aug 13, 2024Institute of Plant Biology
The Symbiosis and Plant Genomics Group focuses on the agriculturally and environmentally important symbiotic association between leguminous plants and rhizobia. One aim of our research is to reveal the molecular steps of nodule initiation, bacterial invasion and nodule function t...
Bioinformatics Group(Biological Research Centre, Szeged)
Jul 1, 2024Core Facilities
The Bioinformatics Group of BRC has special expertise in large-scale bioinformatics data management systems that have become an integrating force in systems biology, by providing common platforms and databases for different high-throughput experimental technologies.
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