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

News coverage of our publication Comparative Connectomics

News coverage of our publication Comparative Connectomics (in Hungarian):


News coverage of our publication: Identifying Combinatorial Biomarkers by Association Rule Mining in the CAMD Alzheimer’s Database

Radio report, broadcasted on August 29, 2017 in the "Szigma" magazine of Inforadio:


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:


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