Csaba Kerepesi, Vince Grolmusz: Giant Viruses of the Kutch Desert Archives of Virology First online: 14 December 2015, doi: http://dx.doi.org/10.1007/s00705-015-2720-8 [impact factor: 2.390]

Balázs Szalkai, Bálint Varga, Vince Grolmusz:  Graph Theoretical Analysis Reveals: Women’s Brains Are Better Connected than Men’s. PLoS ONE 10(7): e0130045 (2015) doi:10.1371/journal.pone.0130045 [impact factor: 3.234]

Our webserver Budapest Reference Connectome displays a 3D interactive consensus brain graph. The media showed significant interest towards this webserver, including an interview with PIT group researchers Vince Grolmusz and Balázs Szalkai on Hungarian state TV channel M1 on April 17, 2015:

Our paper titled “The Budapest Reference Connectome Server v2.0” has been published in Neuroscience Letters.

Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: The Budapest Reference Connectome Server v2.0, Neuroscience Letters, Vol. 595 (2015), Pages 60-62, DOI: http://dx.doi.org/10.1016/j.neulet.2015.03.071, [impact factor: 2.055]

We are pleased to announce that our publication about Budapest Reference Connectome is available online in the Neuroscience Letters:

Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz, The Budapest Reference Connectome Server v2.0

Our paper “AmphoraVizu Webserver” has been published in Microbial Ecology.

Csaba Kerepesi, Balázs Szalkai, Vince Grolmusz. Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver, Microbial Ecology Vol. 69 (2015) pp. 695-697, DOI 10.1007/s00248-014-0502-6 [impact factor: 3.118].

We are pleased to announce that our publication about AmphoraVizu is available online:

Kerepesi CS., Szalkai B., Grolmusz V.: Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver.

We are pleased to announce the newest online tool developed by the PIT Bioinformatics Group:

Budapest Reference Connectome, a parametrizable consensus brain graph.

Screenshot:

Our paper about the Protein Sequence Analysis webserver has been published in Gene.

Dániel Bánky, Balázs Szalkai, Vince Grolmusz: An Intuitive Graphical Webserver for Multiple-Choice Protein Sequence Search; Gene, 2014, Vol. 539 No. 1. pp. 152-3. http://dx.doi.org/10.1016/j.gene.2014.02.007 [impact factor: 2.19].