Publication list

Papers at    Google Scholar     PubMed

77 journal articles in 54 different journals:

 

77, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparing Advanced Graph-Theoretical Parameters of the Connectomes of the Lobes of the Human Brain, Cognitive Neurodynamics, 2018, https://rdcu.be/8Gwh . [ impact factor 2.000]

76, Kristóf Takács, Bálint Varga, Vince Grolmusz: PDB_Amyloid: An Extended Live Amyloid Structure List from the PDB, FEBS Open Bio, 2018. First published: 19 September 2018, https://doi.org/10.1002/2211-5463.12524 [impact factor 2.101]

75, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Mapping Correlations of Psychological and Connectomical Properties of the Dataset of the Human Connectome Project with the Maximum Spanning Tree Method,  Brain Imaging and Behavior, available online August 7, 2018, https://doi.org/10.1007/s11682-018-9937-6 , also available freely at this link. [impact factor 3.719]

74, 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 [impact factor 2.801]

73, Balázs Szalkai, Vince Grolmusz:  Human Sexual Dimorphism of the Relative Cerebral Area Volumes in the Data of the Human Connectome Project;  European Journal of Anatomy, Vol.  22, No. 3. pp. 221-225 (2018)

72, 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 [impact factor 7.30]

71, Csaba Kerepesi, Bálint Varga, Balázs Szalkai,  Vince Grolmusz:The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain,  Neuroscience Letters, Vol. 673, (2018), pp. 51-55.  https://doi.org/10.1016/j.neulet.2018.02.052  [impact factor: 2.18]

70, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain,  Scientific Reports, Vol. 7, 16118, https://doi.org/10.1038/s41598-017-16326-0 (2017)  [impact factor: 4.25]

69,  Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparative Connectomics: Mapping the Inter-Individual Variability of Connections within the Regions of the Human Brain,  Neuroscience Letters Vol. 662, pp. 17-21, (2018) https://doi.org/10.1016/j.neulet.2017.10.003 [impact factor: 2.18].

68, Balázs Szalkai, Vince K. Grolmusz, Vince I. Grolmusz: Identifying Combinatorial Biomarkers by Association Rule Mining in the CAMD Alzheimer’s Database, Archives of Gerontology and Geriatrics Vol. 73, pp. 300-307 (2017),  https://doi.org/10.1016/j.archger.2017.08.006  [impact factor: 2.08]

67, 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 [impact factor: 3.802]

66,  Csaba Kerepesi, Balázs Szalkai,  Bálint Varga, Vince Grolmusz: The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools,  Cognitive Neurodynamics Vol. 11 No. 5, pp. 483-486  (2017) http://dx.doi.org/10.1007/s11571-017-9445-1 [impact factor: 2.159]

65, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Brain Size Bias Compensated Graph-Theoretical Parameters are Also Better in Women’s Structural Connectomes,  Brain Imaging and Behavior Vol. 12, No. 3, pp. 663-673, (2018)  http://dx.doi.org/10.1007/s11682-017-9720-0 [impact factor: 3.985]

64, Csaba Kerepesi, Vince Grolmusz: The “Giant Virus Finder” Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys,  Archives of Virology (2017) Vol. 162, No. 6, pp. 1671-1676 http://dx.doi.org/10.1007/s00705-017-3286-4  [impact factor: 2.255]

63, Csaba Kerepesi, Judit E Szabó, Veronika Papp-Kádár, Orsolya Dobay, Dóra Szabó, Vince Grolmusz, Beata G Vertessy: Life without dUTPase, Frontiers in Microbiologyhttp://dx.doi.org/10.3389/fmicb.2016.01768 (2016) [impact factor: 4.165]

62, 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, 11(1), pp. 113-116, (2017) http://dx.doi.org/10.1007/s11571-016-9407-z [impact factor: 2.159]

61, 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]

60, 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, Vol. 1861 (2017), Issue 1, Part B, January 2017, pp. 3627–3631. [impact factor: 5.083]

59, Balázs Szalkai, Vince Grolmusz: Nucleotide 9-mers Characterize the Type II Diabetic Gut Metagenome; Genomics, Vol. 107 (2016) pp. 120-123, http://dx.doi.org/10.1016/j.ygeno.2016.02.007 [impact factor: 2.284]

58, 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

57,  Csaba Kerepesi, Vince Grolmusz: Evaluating the Quantitative Capabilities of Metagenomic Analysis Software, Current Microbiology, Vol. 72. No. 5. pp. 612-616 (2016),  http://dx.doi.org/10.1007/s00284-016-0991-2 [impact factor: 1.423]

56, Csaba Kerepesi, Vince Grolmusz: Giant Viruses of the Kutch Desert, Archives of Virology,  Vol. 161 (2016), No.3 pp.721-724,  doi:   http://dx.doi.org/10.1007/s00705-015-2720-8 [impact factor: 2.390].

55, 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: http://dx.doi.org/10.1371/journal.pone.0130045 [impact factor: 3.234]

54, Vince Grolmusz: Identifying Diabetes-Related Important Protein Targets with few Interacting Partners with the PageRank Algorithm,  Royal Society Open Science, 2:140252, (2015) doi: http://dx.doi.org/10.1098/rsos.140252.

53,  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]

52, Vince Grolmusz.:  A Note on the PageRank of Undirected Graphs, Information Processing Letters 115 (2015), pp. 633-634.  http://dx.doi.org/10.1016/j.ipl.2015.02.015,   [impact factor: 0.479]

51, Kata Horváti, Bernadett Bacsa, Nóra Szabó, Kinga Fodor, Gyula Balka, Miklós Rusvai, Éva Kiss, Gábor Mező, Vince Grolmusz, Beáta Vértessy, Ferenc Hudecz, Szilvia Bősze: Antimycobacterial activity of peptide conjugate of pyridopyrimidine derivative against Mycobacterium tuberculosis in a series of in vitro and in vivo models, Tuberculosis, Vol. 95, Suppl. 1, June 2015, pp. S207-S211,  DOI: http://dx.doi.org/10.1016/j.tube.2015.02.026 [impact factor: 3.5]

50, 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].

49, Gábor Iván, Vince Grolmusz.  On Dimension reduction of clustering results in structural bioinformatics,  Biochimica et Biophysica Acta (BBA)- Proteins and Proteomics 1844 (2014), pp. 2277-2283,  [impact factor: 3.733].

48, Balázs Szalkai, Ildikó Scheer, Kinga Nagy, Beáta G Vértessy, Vince Grolmusz, The Metagenomic Telescope, PLoS One, Vol. 9, No. 7, e101605 (2014). http://dx.doi.org/10.1371/journal.pone.0101605 [impact factor: 3.53]

47, 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].

46, Rafael Ördög, Dániel Bánky, Balázs Szerencsi, Péter Juhász, Vince Grolmusz, The Erdős webgraph server, Discrete Applied Mathematics, Vol. 167 No. 20. April 2014, pp. 315-317, http://dx.doi.org/10.1016/j.dam.2013.10.032. (http://www.sciencedirect.com/science/article/pii/S0166218X13004757) [impact factor: 0.718]

45, Csaba Kerepesi, Dániel Bánky, Vince Grolmusz: AmphoraNet: The Webserver Implementation of the AMPHORA2 Metagenomic Workflow Suite, Gene,  Vol. 539, No. 1, pp. 152-153, April 2014, http://dx.doi.org/10.1016/j.gene.2013.10.015 [impact factor: 2.19]

44, Orsolya Barabás, Veronika Németh, Andrea Bodor, András Perczel, Edina Rosta, Zoltán Kele, Imre Zagyva, Zoltán Szabadka, Vince I Grolmusz, Matthias Wilmanns, Beáta G Vértessy: Catalytic mechanism of α-phosphate attack in dUTPase is revealed by X-ray crystallographic snapshots of distinct intermediates, 31P-NMR spectroscopy and reaction path modelling, Nucleic Acids Research, Vol. 41, No. 22, pp. 10542–10555, December 2013, doi: 10.1093/nar/gkt756 [impact factor: 8.27]

43, Dániel Bánky, Gábor Iván, Vince Grolmusz: Equal Opportunity for Low-Degree Network Nodes: A PageRank-Based Method for Protein Target Identification in Metabolic Graphs, PLoS ONE 8(1): e54204. doi:10.1371/journal.pone.0054204, published 29 Jan 2013 [impact factor: 4.01]

42, Lilla Tóthmérész, Vince Grolmusz: Characterizing the Functional Similarity of Enzymes with high Co-Citation in Interaction Networks, Protein and Peptide Letters, Vol. 20, 2013, pp.  1181-1187 [impact factor:1.9]

41, Kata Horváti, Bernadett Bacsa, Nóra Szabó, Sándor Dávid, Gábor Mező, Vince Grolmusz, Beáta Vértessy, Ferenc Hudecz, and Szilvia Bősze: Enhanced Cellular Uptake of a New, in Silico Identified Antitubercular Candidate by Peptide Conjugation, Bioconjugate Chem.,2012, 23 (5), pp 900–907 DOI: 10.1021/bc200221t [impact factor: 5.002]

40, Christoph Scheich, Zoltán Szabadka, Beáta Vértessy, Vera Pütter, Vince Grolmusz, Markus Schade: Discovery of Novel MDR-Mycobacterium tuberculosis Inhibitor by New FRIGATE Computational Screen. PLoS ONE 6(12): e28428. doi:10.1371/journal.pone.0028428 (2011).
[impact factor: 4.3]

39, Árpád Tóth, Dániel Bánky, and Vince Grolmusz: Mathematical modeling and computer simulation of Brownian motion and hybridization of nanoparticle-bioprobe-polymer complexes in the low concentration limit,  Molecular Simulation, Vol. 38, No. 1. pp. 66-71,DOI: 10.1080/08927022.2011.602217. [impact factor: 1.2]

38, Árpád Tóth, Dániel Bánky, and Vince Grolmusz: 3D Brownian Motion Simulator for High-Sensitivity Nano-Biotechnological Applications,  IEEE Transactions on Nanobioscience, Vol. 10, No. 4. pp. 248-249,  doi: 10.1109/TNB.2011.2169331. p. 2 [impact factor 1.7]

37, Gábor Iván,  Vince Grolmusz: When the Web Meets the Cell: Using Personalized PageRank for Analyzing Protein Interaction Networks, Bioinformatics, Vol. 27, No. 3. pp. 405-407 (2011) [impact factor: 4.9]

36, Gábor Iván, Zoltán Szabadka, Vince Grolmusz: Cysteine and Tryptophan Anomalies Found when Scanning all the Binding Sites in the Protein Data Bank,  International Journal of Bioinformatics Research and Applications, Vol. 6, No. 6, 2010, pp. 594-608.

35, Gábor Iván, Zoltán Szabadka, Vince Grolmusz: A Hybrid Clustering of Protein Binding Sites  FEBS Journal Vol. 277, No. 6. pp. 1494-1502  (2010). DOI: 10.1111/j.1742-4658.2010.07578.x [impact factor: 3.0]

34, 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.

33, Rafael Ördög, Zoltán Szabadka, Vince Grolmusz: DECOMP: A PDB decomposition tool on the web, Bioinformation Vol. 3 No. 10. pp. 413-414 (2009)

32, Dániel Bánky, Rafael Ördög, Vince Grolmusz: NASCENT: An automatic protein interaction network generation tool for non-model organisms. Bioinformation Vol. 3 No. 8. pp. 361-363 (2009)

31, Gábor Iván, Zoltán Szabadka, Rafael Ördög, Vince Grolmusz, Gábor Náray-Szabó: Four Spatial Points That Define Enzyme Families, Biochemical and Biophysical Research Communications, Vol. 383, No. 4, pp. 417-420, (2009)  doi:10.1016/j.bbrc.2009.04.022 [impact factor: 2.5]

30, K. Hill, C.B. Pénzes, B.G. Vértessy, Z. Szabadka, V. Grolmusz, É. Kiss: Amphiphilic Nature of New Antitubercular Drug Candidates and Their Interaction with Lipid Monolayer, Progr Colloid Polym Sci (2008) 135: 87–92, DOI 10.1007/2882_2008_117

29, Grolmusz, V.: Modular Representations of Polynomials: Hyperdense Coding and Fast Matrix Multiplication.  IEEE Transactions on Information Theory, Volume 54, Issue 8, Aug. 2008 pp.:3687 – 3692; Digital Object Identifier   10.1109/TIT.2008.926346 [impact factor: 2.4]

28, Szabadka, Z., Ördög, R., Grolmusz, V.: : The Ramachandran Map of More Than 6,500 Perfect Polypeptide Chains,
Biophysical Reviews and Letters, Vol 2, No. 3/4 (2007), pp. 267-271, DOI:10.1142/S1793048007000519

27, Ordog, R., Szabadka, Z., Grolmusz, V.: Analyzing the Simplicial Decomposition of Spatial Protein Structures;  BMC Bioinformatics,  2008, 9 (Suppl 1):S11(doi:10.1186/1471-2105-9-S1-S11), http://www.biomedcentral.com/1471-2105/9/S1/S11 [impact factor: 3.4]

26, Szabadka, Z., Iván, G., Grolmusz, V.: Being a Binding-Site: Characterizing Residue-Composition of Binding Sites on Proteins,  Bioinformation 2(5), 216-221 (2007), http://www.bioinformation.net/002/004800022007.htm

25, Szabadka, Z., Grolmusz, V.: High Throughput Processing of the Structural Information of the Protein Data Bank,  Journal of Molecular Graphics and Modeling 25 (2007) pp. 831-836. [impact factor:2.2]

24, Grolmusz, V.: Pairs of Codes with Prescribed Hamming Distances and Coincidences,  Designs, Codes and Cryptography,  Vol 41 (2006) , No. 1., pp. 87-99.

23, Grolmusz, V.: Co-Orthogonal Codes, Designs, Codes and Cryptography, Vol. 38, No. 3 (2006) pp. 363-372

22, Grolmusz, V.: Computing Elementary Symmetric Polynomials with a Sub-Polynomial Number of Multiplications, SIAM Journal on Computing, Vol. 32, No. 6 (2003), pp 1475-1487.

21, Grolmusz, V.:  A Note on Set Systems with no Union of Cardinality 0 Modulo m, Discrete Mathematics and Theoretical Computer Science (DMTCS) Vol 6, No. 1 (2003), pp 41-44.

20, Grolmusz, V., Tardos, G.: A Note on Non-Deterministic Communication Complexity with Few Witnesses, Theory of Computing Systems, Vol 36, No. 4 (2003), pp 387-391.

19, Grolmusz, V.: A Note on Explicit Ramsey Graphs and Modular Sieves,   Combinatorics, Probability and Computing Vol. 12, (2003) pp. 565-569 (an invited paper).

18, Grolmusz, V.: Constructing Set-Systems with Prescribed Intersection Sizes,   Journal of Algorithms, Vol. 44 (2002), pp. 321-337.

17, Grolmusz, V., Sudakov, B.:   k-wise Set-Intersections and k-wise Hamming-Distances, J. Combin. Theory Ser. A 99 (2002), no. 1, 180–190.

16, Grolmusz, V.: Set-Systems with Restricted Multiple Intersections,  Electronic Journal of Combinatorics,  Vol. 9, (2002), No. 1, R8

15, Grolmusz, V.: A Degree-Decreasing Lemma for (MOD q-MOD p) Circuits, Discrete Mathematics and Theoretical Computer Science (DMTCS) Vol. 4. (2001) No. 2. pp. 247-254.

14,  Grolmusz, V.: Low-Rank Co-Diagonal Matrices and Ramsey-Graphs, The Electronic Journal of Combinatorics,  Vol. 7, (2000), No. 1, R15

13, Grolmusz, V.: Superpolynomial Size Set-Systems with Restricted Intersections mod 6 and Explicit Ramsey Graphs, Combinatorica, Vol. 20, (2000), No. 1, pp. 73-88.

12, Grolmusz, V., Tardos, G.: Lower Bounds for (MOD p, MOD m) Circuits, SIAM Journal on Computing, Vol. 29, (2000), No. 4, pp. 1209-1222

11, Grolmusz, V.:  A lower bound for depth-3 circuits with mod m gates, Information Processing Letters Vol. 67, (1998), pp. 87-90

10, Grolmusz, V.: Harmonic Analysis, Real Approximation, and the Communication Complexity of Boolean Functions, Algorithmica, Vol. 23, (1999) No. 4, pp. 341-353 (an invited paper).

9, Grolmusz, V.: Circuits and Multi-Party Protocols, Computational Complexity, Vol. 7, (1998), pp. 1-18.

8, Grolmusz, V.: On the Power of Circuits with Gates of Low L_1 Norms, Theoretical Computer Science A, Vol. 188, (1997), pp. 117-127.

7, Grolmusz, V.: Separating the Communication Complexities of MOD m and MOD p Circuits, Journal of Computer and Systems Sciences, Vol. 51, (1995), No. 2

6, Grolmusz, V.: On the Weak MOD-m Representation of Boolean Functions, Chicago Journal of Theoretical Computer Science, (CJTCS), Vol. 1, (1995), Article 2 (http://www.cs.uchicago.edu/publications/cjtcs/articles/1995/contents.html)

5, Grolmusz, V.: The BNS Lower Bound for Multi–Party Protocols is Nearly Optimal, Information and Computation, Vol. 112, (1994) No. 1, pp. 51–54.

4, Grolmusz, V.: On a Ramsey-Theoretic Property of Orders, Journal of Combinatorial Theory, Ser. A, Vol. 61, (1992), No. 2, pp. 243–251.

3, Grolmusz, V.: On Mathematical Rigorousness, Magyar Filozófiai Szemle, (1992) No. 1-2, pp. 9-15 (in Hungarian) http://members.iif.hu/visontay/ponticulus/rovatok/limes/grolmusz.html

2, Grolmusz, V.: Large Parallel Machines Can be Extremely Slow for Small Problems; Algorithmica, Vol. 6, (1991), pp. 479-489.

1, Grolmusz, V., Ragde P.: Incomparability in Parallel Computation; Discrete Applied Mathematics, Vol. 29 (1990), No. 1. pp. 63–78.

Conference Proceedings:

19, Takacs, K., B. Varga, and V. Grolmusz. “An automatically refreshed public list of amyloid and pre-amyloid structures from the PDB.” FEBS OPEN BIO. Vol. 8. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2018.

18, Grolmusz, Vince, Kristof Takacs, and Balint Varga. “Amyloids and pre-amyloids from the PDB.” FASEB JOURNAL. Vol. 32. No. 1. 9650 ROCKVILLE PIKE, BETHESDA, MD 20814-3998 USA: FEDERATION AMER SOC EXP BIOL, 2018.

17. Gábor Iván, Vince Grolmusz: Designing universal oligonucleotides for DNA/nanoparticle conjugates, Proc. Nanotech 2010 (Nanotechnology 2010: Electronics, Devices, Fabrication, MEMS, Fluidics and Computational), June 21-24, 2010, Anaheim, California; NSTI 2010, pages 573-576.

16. Rafael Ördög, Vince Grolmusz: On the bond graphs in the Delaunay-tetrahedra of the simplicial decomposition of spatial protein structures; Proceedings of the International Workshop on Practical Applications of Computational Biology & Bioinformatics (IWPACBB’09) LNCS 5518, pp. 1162-1169, University of Salamanca, June 10-12, 2009;  DOI: 10.1007/978-3-642-02481-8_176

15. Rafael Ördög, Vince Grolmusz: Evaluating Genetic Algorithms in Protein-Ligand Docking, Proc. Bioinformatics Research and Applications, Atlanta, GA, 2008, LNCS Vol. 4983/2008, pp. 402-413, DOI: 10.1007/978-3-540-79450-9

14. Szabadka, Z., Grolmusz, V.: Building a Structured PDB: The RS-PDB Database. Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, Aug. 30-Sept 3, 2006., pp. 5755-5758.

13. Grolmusz, V.: On some applications of randomized memory. Proceedings of the GRACO2005, Angra dos Reis, Brazil, 27-29 April 2005. Electronic Notes in Discrete Mathematics, Vol. 19, 2005, pp. 203-209

12. Vince Grolmusz: Defying Dimensions Modulo 6 Proceedings of Computability in Europe (CiE) 2005 : “New Computational Paradigms” held in Amsterdam in June 2005, pages 78-81,

11. Grolmusz, V., Király, Z.: Generalized Secure Routerless Routing,  Proceedings of the 4th International Conference on Networking, (ICN) Reunion Island, France, April 17-21, 2005,  LNCS No. 3421, pp. 454-462;

10. Grolmusz, V., Király, Z.: Secure Routerless Routing,  Proceedings of the Workshop “Future Directions in Network Architectures 2004″ of the SIGCOMM’04 Conference, Portland, Oregon, August 30-September 3 2004, ACM Press

9, Grolmusz, V.: Co-Orthogonal Codes,  Proceedings of the COCOON’2002, Singapore, August, 2002, LNCS 2387, pp. 144-152

8, Grolmusz, V.: Constructive Upper Bounds for Intersecting Set Systems. Proceedings of the Brazilian Symposium on Graphs, Algorithms and Combinatorics, Fortaleza, Ceará, Brazil,  2001. Electronic Notes in Discrete Mathematics Vol 7. http://www.elsevier.nl/gej-ng/31/29/24/39/23/show/Products/notes/index.htt#026

7, Grolmusz, V., Tardos, G.: Lower Bounds for (MOD p, MOD m) Circuits, Proceedings of FOCS’98, Palo Alto, California, November 1998, pp. 279-289.

6, Grolmusz, V.:  A Degree-Decreasing Lemma for (MOD q, MOD p) Circuits, Proceedings of ICALP’98, Aalborg, Denmark, July 1998, LNCS 1443, pp. 215-222.

5, Grolmusz, V.: On Set Systems with Restricted Intersections Modulo a Composite Number, Proceedings of  COCOON’97, Shanghai, August 20-22, 1997, LNCS 1276, pp. 82-90.

4, Grolmusz, V.: Harmonic Analysis, Real Approximation, and the Communication Complexity of Boolean Functions, Proceedings of the COCOON’96 Conference, Hong Kong, June 1996, LNCS 1090, pp. 142-151.

3, Grolmusz, V.: A Weight–Size Trade–Off for Circuits with MOD m Gates, Proceedings of the 26th ACM Symposium on Theory of Computing (STOC), Montreal, 1994, pp. 68-74

2, Grolmusz, V.: Separating the Communication Complexities of MOD m and MOD p Circuits, Proceedings of the 33rd Annual Symposium on Foundations of Computer Science (FOCS), Pittsburgh, 1992, pp. 278-287

1, Grolmusz V., Ragde P.: Incomparability in Parallel Computation; Proceedings of the 28th Annual Symposium on Foundations of Computer Science (FOCS), Los Angeles 1987, pp. 89-98,

Technical Reports:

43, Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Subgraphs of the Connectome of the Human Brain, arXiv preprint arXiv:1711.11314  (2017)

42, Kristóf Takács, Bálint Varga, Vince Grolmusz: PDB_Amyloid: The Extended Live Amyloid Structure List from the PDB, arXiv preprint arXiv:1805.09758 (2018)

41, Balázs Szalkai, Vince Grolmusz: MetaHMM: A Webserver for Identifying Novel Genes with Specified Functions in Metagenomic Samples  arXiv preprint arXiv:1710.10995 (2017)

40, Balázs Szalkai, Vince Grolmusz: SCARF: A Biomedical Association Rule Finding Webserver, arXiv preprint arXiv:1709.09850 (2017)

39, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparing Advanced Graph-Theoretical Parameters of the Connectomes of the Lobes of the Human Brain, arXiv preprint arXiv:1709.04974 (2017)

38, Balázs Szalkai, Vince Grolmusz: SECLAF: A Webserver and Deep Neural Network Design Tool for Biological Sequence Classification, arXiv preprint arXiv:1708.04103 (2017)

37, Balázs Szalkai, Vince Grolmusz: Near Perfect Protein Multi-Label Classification with Deep Neural Networks, arXiv preprint arXiv:1703.10663

36, Balázs Szalkai, Vince Grolmusz: The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain, arXiv preprint arXiv:1610:04568

35, Csaba Kerepesi, Balázs Szalkai,  Bálint Varga, Vince Grolmusz: The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools,  arXiv preprint arXiv:1610:02016

34, Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, arXiv preprint arXiv:1609.09036 (2016)

33, Csaba Kerepesi, Bálint Varga, Balázs Szalkai,  Vince Grolmusz:The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain  arXiv preprint arXiv:1605.01441 (2016)

32, Balázs Szalkai, Vince Grolmusz: Human Sexual Dimorphism of the Relative Cerebral Area Volumes in the Data of the Human Connectome Project, arXiv preprint arXiv:1604.05992 (2016)

31, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Graph of Our Mind, arXiv preprint arXiv:1603.00904 (2016)

30, Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0, arXiv preprint arXiv:1602.04776 (2016);

29, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Mapping Correlations of Psychological and Connectomical Properties of the Dataset of the Human Connectome Project with the Maximum Spanning Tree Method arXiv preprint arXiv:1602.03008 (2016)

28, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Advantage is at the Ladies: Brain Size Bias-Compensated Graph-Theoretical Parameters are Also Better in Women’s Connectomes arXiv preprint arXiv:1512.01156  (2015)

27, 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 , arXiv:1509.05703 (2015)

26, Csaba Kerepesi, Judit E. Szabó, Vince Grolmusz, Beáta G. Vértessy:  Life without dUTPase.  arXiv preprint arXiv:1509.04850 (2015)

25, Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparative Connectomics: Mapping the Inter-Individual Variability of Connections within the Regions of the Human Brain, arXiv preprint 1507.00327 (2015)

24, Csaba Kerepesi, Vince Grolmusz: The “Giant Virus Finder” Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys, arXiv preprint arXiv:1503.05575 (2015)

23, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Graph Theoretical Analysis Reveals: Women’s Brains are Better Connected than Men’s;  arXiv preprint arXiv:1501.00727 (2015)

22,  Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: The Budapest Reference Connectome Server Ver. 2.0, arXiv preprint arXiv:1412.3151 (2014)

21, Csaba Kerepesi, Vince Grolmusz: Giant viruses of the Kutch desert; arXiv preprint, arXiv 1410:1278, October 7, 2014.

20, Ivan, G., Bánky, D., Grolmusz, V.:Fast and Exact Sequence Alignment with the Smith-Waterman Algorithm: The SwissAlign Webserver, arXiv:1309.1895 September 7, 2013

19, Ivan, G., Grolmusz, V.: Dimension reduction of clustering results in bioinformatics, arXiv:1309.1892, September 7, 2013

18, Grolmusz, V.:  A Note on the PageRank of Undirected Graphs, arXiv 1205.1960, May 10, 2012

17, Grolmusz, V.: Defying Dimensions Modulo 6, ECCC Report TR03-058

16, Grolmusz, V.: Near Quadratic Matrix Multiplication Modulo Composites , ECCC Report TR03-001,

15, Grolmusz, V.: Computing Elementary Symmetric Polynomials with a Sub-Polynomial Number of Multiplications, ECCC Report TR02-052,

14, Grolmusz, V.: Pairs of Codes with Prescribed Hamming Distances and Coincidences, DIMACS Technical Report No. 2002-09

13, Grolmusz, V.: A Trade-Off for Covering the Off-Diagonal Elements of Matrices, DIMACS Technical Report No. 2002-01

12, Grolmusz, V., Sudakov, B.:   k-wise Set-Intersections and k-wise Hamming-Distances, DIMACS  Technical Report No. 2001-11. (ftp://dimacs.rutgers.edu/pub/dimacs/TechnicalReports/ TechReports/2001/2001-11.ps.gz)

11, Grolmusz, V.: Set-Systems with Restricted Multiple Intersections and Explicit Ramsey Hypergraphs, DIMACS Technical Report No. 2001-04 (ftp://dimacs.rutgers.edu/pub/dimacs/TechnicalReports/ TechReports/2001/2001-04.ps.gz)

10, Grolmusz, V.:   Constructing Set-Systems with Prescribed Intersection Sizes, DIMACS Technical Report No. 2001-03 (ftp://dimacs.rutgers.edu/pub/~dimacs/TechnicalReports/TechReports/2001/2001-03.ps.gz)

9, Grolmusz, V.: A Note on Set Systems with no Union of Cardinality 0 Modulo m,   DIMACS Technical Report No. 2000-11
(WWW:  ftp://dimacs.rutgers.edu/pub/dimacs/TechnicalReports/TechReports/2000/2000-11.ps.gz )

8, Grolmusz, V., Tardos, G.: Lower Bounds for (MOD p, MOD m) Circuits, ECCC Report TR98-036, (WWW: ftp://ftp.eccc.uni-trier.de/pub/eccc/reports/1998/TR98-036/index.html)

7, Grolmusz, V.: On the Power of Circuits with Gates of Low L_1 Norms, ECCC Report TR95-046, (WWW: ftp://ftp.eccc.uni-trier.de/pub/eccc/reports/1995/TR95-046/index.html)

6, Grolmusz, V.: On Multi–Party Communication Complexity of Random Functions, Technical Report No. MPII-1993-162, December 1, 1993, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

5, Grolmusz, V.: Harmonic Analysis, Real Approximation, and the Communication Complexity of Boolean Functions, Technical Report No. MPII-1993-161, November 22, 1993, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

4, Grolmusz, V.: Mod m Gates do not Help on the Ground Floor, Technical Report No. MPII-1993-142, October 11, 1993, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

3, Grolmusz, V.: Multi-Party Protocols and Spectral Norms, Technical Report No. MPII-1993-132, August 13, 1993, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

2, Grolmusz, V.: Separating the Communication Complexities of MOD m and MOD p Circuits, Technical Report No. MPII-1992-120, May 26, 1992, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

1, Grolmusz, V.: Circuits and Multi-Party Protocols, Technical Report No. MPII-1992-104, January 30, 1992, Max Planck Institut fuer Informatik, 66123 Saarbruecken, Germany

Published Patents:

 

WO2011089456 NOVEL MEDICINAL COMPOUNDS
WO2011089457 NOVEL MEDICINAL COMPOUNDS
20080194415 Method for structuring and cleaning steric macromolecular data
US Patent 7,606,847
Dense and randomized storage and coding of information
20050047516 A method for dense and secure transmission of signals and information using a small number of channels

 

Book Chapter:

Protein-Protein Interactions, 2011 Nova Publishers, Edited by P. Kangueane, ISBN: 978-1-61761-548-1, Chapter 7. NASCENT: An automatic protein interaction network generation tool for non-model organisms (Dániel Bánky, Rafael Ördög, Vince Grolmusz)