We develop novel sequence similarity-search and sequence clustering algorithms.
Webservers:
SECLAF: Sequence classification using deep learning
METAHMM finds genes in metagenomes
Protein Sequence Analyzer with graphic multiple choice options
SwissAlign fast alignment with the Smith-Waterman algorithm
ProtDict: Protein cross-reference tool
Publications:
Balázs Szalkai, Vince Grolmusz: MetaHMM: A Webserver for Identifying Novel Genes with Specified Functions in Metagenomic Samples; Genomics, available online May 23, 2018, https://doi.org/10.1016/j.ygeno.2018.05.016
Balázs Szalkai, Vince Grolmusz: SECLAF: A Webserver and Deep Neural Network Design Tool for Hierarchical Biological Sequence Classification, Bioinformatics, Vol 34, No. 14, pp. 2487-2489 2018 https://doi.org/10.1093/bioinformatics/bty116
Balázs Szalkai, Vince Grolmusz: Near Perfect Protein Multi-Label Classification with Deep Neural Networks, Methods Vol. 132, pp. 50-56, (2018), https://doi.org/10.1016/j.ymeth.2017.06.034
Gábor Iván, Vince Grolmusz: Dimension reduction of clustering results in bioinformatics; Biochimica et Biophysica Acta (BBA)- Proteins and Proteomics; 1844 (2014), pp. 2277-2283; DOI: 10.1016/j.bbapap.2014.08.015 Preprint version: arXiv preprint arXiv:1309.1892
Balázs Szalkai, Ildikó Scheer, Kinga Nagy, Beáta G Vértessy, Vince Grolmusz, The Metagenomic Telescope, PLoS One, Vol. 9, No. 7, e101605, July 2014, http://dx.doi.org/10.1371/journal.pone.0101605
Dániel Bánky, Balázs Szalkai, Vince Grolmusz: An Intuitive Graphical Webserver for Multiple-Choice Protein Sequence Search; arXiv preprint arXiv:1312.4660; also in Gene, Vol. 539, No. 1, pp. 152-153, April 2014,
Gábor Iván, Dániel Bánky, Vince Grolmusz: Fast and Exact Sequence Alignment with the Smith-Waterman Algorithm: The SwissAlign Webserver. arXiv preprint arXiv:1309.1895; Journal version appeared in Gene Reports, Vol. 4, September 2016, Pages 26-28.
Gábor Iván, Zoltán Szabadka, Vince Grolmusz: A Hybrid Clustering of Protein Binding Sites (also as a preliminary version). FEBS Journal Vol. 277, No. 6. pp. 1494-1502 (2010).
Gabor Ivan, Vince Grolmusz: Revealing the density-based clustering structure of the SwissProt database (poster) Page 606 of Abstract book, International Congress of Mathematicians 2010 Hyderabad, India, 19th-27th August, 2010.
Gábor Ivan, Daniel Banky, Vince Grolmusz: Refining the protein interaction network generated by NASCENT using sequence alignment 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, MA July 11-13, 2010
Gábor Iván, Zoltán Szabadka, Vince Grolmusz: On the asymmetry of the residue compositions of the binding sites on protein surfaces; Journal of Bioinformatics and Computational Biology, Vol. 7. No. 6. (2009) pp. 931-938.