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A Szentágothai János Kutatóközpont a PTE korszerű, nemzetközi tudományszervezési és menedzsment normák szerint kialakított új intézménye, amely az élettudományi, élettelen természettudományi, valamint környezettudományi oktatás...

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Bioinformatika Kutatócsoport

  • Kutatási koncepció
  • Munkatársak
  • Publikációk
  • Elnyert pályázatok
  • Galériák

The main goal of the Bioinformatics Research Group is not only concentrating and conducting research on a specific scientific problem but rather developing and implementing a comprehensive bioinformatics strategy for the Szentágothai Research Centre and the University of Pécs.

The proposed strategy is based on four pillars:

 

  • bioinformatics research driving the development of new analysis methodologies,
  • bioinformatics core facility providing data analysis services for biomedical researchers,
  • bioinformatics education and training provided to students and researchers, and
  • bioinformatics infrastructure enabling the collection, storage and analysis of data. 

 

The group has established a number of research collaborations with local and international research groups, developed and implemented various data analysis algorithms and methods. Some of those have already been published or are currently under submission or review. 

The research group has also set up the Sequencing and Bioinformatics Core Facilities and started providing sequencing and data analysis collaboration-based services for its academic and industrial partners.

We are currently developing the curriculum of a Bioinformatics MSc program at the University. We have also successfully applied for an EU grant application under the ERASMUS+ program to develop bioinformatics and biostatistics competencies for biomedical students.

  • Marik T, Tyagi C, Balázs D, Urbán P, Szepesi Á, Bakacsy L, Endre G, Rakk D, Szekeres A, Andersson M A, Salonen H, Druzhinina I S, Vágvölgyi Cs, Kredics L. Structural Diversity and Bioactivities of Peptaibol Compounds From the Longibrachiatum Clade of the Filamentous Fungal Genus Trichoderma. Frontiers in Microbiology, 2019. Accepted for publication. Doi: 10.3389/fmicb.2019.01434. IF: 4.26
     
  • Garai K, Ádam Z, Herczeg R, Katai E, Nagy T, Pál Sz., Gyenesei A, Pongracz J, Wilhelm M, Kvell K. Artificial neural network correlation and biostatistics evaluation of physiological and molecular parameters in healthy young individuals performing regular exercise. Frontiers in Physiology, 2019. Accepted for publication. IF: 3.2
     
  • Péterfalvi A, Németh N, Herczeg R, Tényi T, Miseta A, Czéh B, Simon M. Examining the Influence of Early Life Stress on Serum Lipid Profiles and Cognitive Functioning in Depressed Patients. Frontiers in Psychology 2019. Accepted for publication. https://doi.org/10.3389/fpsyg.2019.01798, IF: 2.13
     
  • Gángó A*, Alpár D*, Gálik B*, Marosvári D, Kiss R, Fésüs V, Aczél D, Eyüpoglu E, Nagy N, Nagy Á, Krizsán S, Reiniger L, Farkas P, Kozma A, Ádám E, Tasnády S, Réti M, Matolcsy A, Gyenesei A, Mátrai Z, Bödör C. Dissection of Subclonal Evolution by Temporal Mutation Profiling in Chronic Lymphocytic Leukemia Patients Treated With Ibrutinib. International Journal of Cancer 2019 Jun 10. Doi: 10.1002/ijc.32502. IF: 7.36
     
  • Bauer W, Veijola R, Lempainen J, Kiviniemi M, Härkönen T, Toppari J, Knip M, Gyenesei A*, Ilonen J*. Age at Seroconversion, HLA Genotype and Specificity of Autoantibodies in Progression of Islet Autoimmunity in Childhood. Journal of Clinical Endocrinology & Metabolism 2019 May 23. pii: jc.2019-00421. doi: 10.1210/jc.2019-00421. IF: 5.79
     
  • Zana BGeiger L, Kepner A, Földes F, Urbán PHerczeg RKemenesi GJakab F. First molecular detection of Apis mellifera filamentous virus in honey bees ( Apis mellifera ) in HungaryActa Veterinaria 2019, 67:1 pp. 151-157. IF: 1.04
     
  • Montskó, G ; Gödöny, K ; Herczeg, R ; Várnagy, Á ; Bódis, J ; Kovács, GL Alpha-1 chain of human haptoglobin as viability marker of in vitro fertilized human embryos: information beyond morphology. System Biology in Reproductive Medicine 2019, 65: 2 pp. 174-180, IF: 1.58
     
  • Aczél T, Kun J, Szőke É, Rauch T, Junttila S, Gyenesei A, Bölcskei K, Helyes Zs. Transcriptional Alterations in the Trigeminal Ganglia, Nucleus and Peripheral Blood Mononuclear Cells in a Rat Orofacial Pain Model. Frontiers in Molecular Neuroscience 2018. Doi: 10.3389/fnmol.2018.00219. IF: 3.90
     
  • New and/or still running collaborations and contracts with industrial partners (with the identification number of contract and the total amount in EUR) within this period.
    • PTE/46974-1/2019: Sequencing and bioinformatics research collaboration and services (University of Szeged, 7 800 EUR)
    • PTE/56542-1/2019: Bioinformatics research collaboration and services (Xenovea Ltd., 16 600 EUR)

 

  • Research grants obtained and/or still running within this period (grant number and granted amount in EUR). In case of large university grants (e.g. TAMOP, GINOP, EFOP), where your research group was only a part of a larger program, give the proportion used by your group only
    • 2019-1-HU01-KA203-061251: „Educating Experts of the Future: Developing Bioinformatics and Biostatistics competencies of European Biomedical Students - BECOMING” (ERASMUS+ project), 269 000 EURGINOP-2.3.2-15-2016-00021: „Chip-technológia alkalmazása a humán in vitro fertilizáció eredményességének javításában” (IVF GINOP project)
    • EFOP-3.6.2-16-2017-00009: „Klinikai kutatások tematikus hálózatának kialakítása és nemzetköziesítése” (HECRIN EFOP project)
    • GINOP-2.2.1-15-2017-00067: „Hálózatos analitikai és adathasznosítási lehetőségek az egészségügyben” (DataLake GINOP project)
    • 2018-1-HU01-KA203-047811: „Curriculum Development of Human Clinical Trial for the Next Generation Biomedical Students - CONSCIOUS” (ERASMUS+ project), 299 000 EUR