Welcome to our website!

You are now viewing the homepage of PIT Bioinformatics Group. We are a bioinformatics research group, established in 2005, in the Institute of Mathematics of the Eötvös Loránd University, Budapest, Hungary. We solve problems arising in life sciences by mathematical and informatical means.

During the past years we have developed several online tools for bioinformatics research. These useful pieces of software, which run on our high-performance server computers, are available on the online tools page or in the sidebar in the right.

Latest news

Near Perfect Protein Multi-Label Classification with Deep Neural Networks

Our new paper "Near Perfect Protein Multi-Label Classification with Deep Neural Networks" was published on arxiv.org on 30 Mar 2017.

Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and classification problems. Here we present two new ANNs with multi-label classification ability, showing impressive accuracy when classifying protein sequences into 698 UniProt families (AUC=99.99%) and 983 Gene Ontology classes (AUC=99.45%).

See the article here: https://arxiv.org/abs/1703.10663

 


Our results on Life without dUTPase in the "Mindentudás" televison magazine

Television coverage, aired on November 11, 2016 in the "Minden tudás" magazine of the first channel of the Hungarian Television M1, on our our new publication Life without dUTPase:


Recent publications of our group

  • Csaba Kerepesi, Vince Grolmusz: The “Giant Virus Finder” Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys,  Archives of Virology (2017)  http://dx.doi.org/10.1007/s00705-017-3286-4  [impact factor: 2.255]
  • Csaba Kerepesi, Judit E Szabó, Veronika Papp-Kádár, Orsolya Dobay, Dóra Szabó, Vince Grolmusz, Beata G Vertessy: Life without dUTPase, Frontiers in Microbiology, DOI: http://dx.doi.org/10.3389/fmicb.2016.01768 (2016) [impact factor: 4.165]
  • Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0, Cognitive Neurodynamics, (2016) http://dx.doi.org/10.1007/s11571-016-9407-z [impact factor: 2.159]
  • Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain, PLoS One 11(6): e0158680. http://dx.doi.org/10.1371/journal.pone.0158680, June 30, 2016 [impact factor: 3.057]
  • Balázs Szalkai, Vince Grolmusz: Significant Differences Found in Short Nucleotide Sequences of Human Intestinal Metagenomes of Northern-European and Chinese Origin, Biochimica et Biophysica Acta (BBA) – General Subjects, Available online 21 June 2016. [impact factor: 5.083]
  • Gábor Iván, Dániel Bánky, Vince Grolmusz: Fast and Exact Sequence Alignment with the Smith-Waterman Algorithm: The SwissAlign Webserver; Gene Reports, Vol. 4, September 2016, pages 26-28. http://dx.doi.org/10.1016/j.genrep.2016.02.004

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