Asst. Prof. Eng. Davide Verzotto, Ph.D.

Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome

Research Interests

Algorithms & Data Structures
Bioinformatics & Computational Biology
Machine Learning
Scalable
Applied Mathematics
Computational Theory and Mathematics
Molecular Biology
Structural Biology
Microbiology (medical)
Microbiology
Computational Mathematics
Genetics
Modeling and Simulation
Computer Science Applications
Biochemistry
Biotechnology
Health Informatics
Numerical Analysis
Theoretical Computer Science

About

Algorithms & Information Intelligence, Pattern Discovery Bioinformatics & Computational Biology/Genomics Scalable Data Mining & Machine Learning

Publications

Alignment-free phylogeny of whole genomes using underlying subwords

Algorithms for Molecular Biology / Dec 01, 2012

Comin, M., & Verzotto, D. (2012). Alignment-free phylogeny of whole genomes using underlying subwords. Algorithms for Molecular Biology, 7(1). https://doi.org/10.1186/1748-7188-7-34

Understanding the microbial basis of body odor in pre-pubescent children and teenagers

Microbiome / Nov 29, 2018

Lam, T. H., Verzotto, D., Brahma, P., Ng, A. H. Q., Hu, P., Schnell, D., Tiesman, J., Kong, R., Ton, T. M. U., Li, J., Ong, M., Lu, Y., Swaile, D., Liu, P., Liu, J., & Nagarajan, N. (2018). Understanding the microbial basis of body odor in pre-pubescent children and teenagers. Microbiome, 6(1). https://doi.org/10.1186/s40168-018-0588-z

Biological Knowledge Discovery Handbook

Dec 16, 2013

Elloumi, M., & Zomaya, A. Y. (Eds.). (2013). Biological Knowledge Discovery Handbook. https://doi.org/10.1002/9781118617151

The Irredundant Class Method for Remote Homology Detection of Protein Sequences

Journal of Computational Biology / Dec 01, 2011

Comin, M., & Verzotto, D. (2011). The Irredundant Class Method for Remote Homology Detection of Protein Sequences. Journal of Computational Biology, 18(12), 1819–1829. https://doi.org/10.1089/cmb.2010.0171

Algorithms in Computational Molecular Biology

Dec 23, 2010

Elloumi, M., & Zomaya, A. Y. (Eds.). (2010). Algorithms in Computational Molecular Biology. https://doi.org/10.1002/9780470892107

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Beyond Fixed-Resolution Alignment-Free Measures for Mammalian Enhancers Sequence Comparison

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jul 01, 2014

Comin, M., & Verzotto, D. (2014). Beyond Fixed-Resolution Alignment-Free Measures for Mammalian Enhancers Sequence Comparison. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(4), 628–637. https://doi.org/10.1109/tcbb.2014.2306830

Whole-Genome Phylogeny by Virtue of Unic Subwords

2012 23rd International Workshop on Database and Expert Systems Applications / Sep 01, 2012

Comin, M., & Verzotto, D. (2012). Whole-Genome Phylogeny by Virtue of Unic Subwords. 2012 23rd International Workshop on Database and Expert Systems Applications. https://doi.org/10.1109/dexa.2012.10

Pattern Recognition in Computational Molecular Biology

Nov 19, 2015

Elloumi, M., Iliopoulos, C. S., Wang, J. T. L., & Zomaya, A. Y. (Eds.). (2015). Pattern Recognition in Computational Molecular Biology. https://doi.org/10.1002/9781119078845

OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis

GigaScience / Jan 19, 2016

Verzotto, D., M. Teo, A. S., Hillmer, A. M., & Nagarajan, N. (2016). OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis. GigaScience, 5(1). https://doi.org/10.1186/s13742-016-0110-0

Comparing, Ranking, and Filtering Motifs with Character Classes: Application to Biological Sequences Analysis

Biological Knowledge Discovery Handbook / Dec 16, 2013

Comin, M., & Verzotto, D. (2013). Comparing, Ranking, and Filtering Motifs with Character Classes: Application to Biological Sequences Analysis. Biological Knowledge Discovery Handbook, 307–332. Portico. https://doi.org/10.1002/9781118617151.ch13

Index-based map-to-sequence alignment in large eukaryotic genomes

Mar 27, 2015

Verzotto, D., Hillmer, A. M., Teo, A. S. M., & Nagarajan, N. (2015). Index-based map-to-sequence alignment in large eukaryotic genomes. https://doi.org/10.1101/017194

String Processing and Information Retrieval

Lecture Notes in Computer Science / Jan 01, 2018

Gagie, T., Moffat, A., Navarro, G., & Cuadros-Vargas, E. (Eds.). (2018). String Processing and Information Retrieval. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-00479-8

String Processing and Information Retrieval

Lecture Notes in Computer Science / Jan 01, 2010

Chavez, E., & Lonardi, S. (Eds.). (2010). String Processing and Information Retrieval. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-16321-0

Alignment‐Free Measures for Whole‐Genome Comparison

Pattern Recognition in Computational Molecular Biology / Nov 19, 2015

Comin, M., & Verzotto, D. (2015). Alignment‐Free Measures for Whole‐Genome Comparison. Pattern Recognition in Computational Molecular Biology, 43–64. Portico. https://doi.org/10.1002/9781119078845.ch3

Bioinformatics Research and Applications

Lecture Notes in Computer Science / Jan 01, 2012

Bleris, L., Măndoiu, I., Schwartz, R., & Wang, J. (Eds.). (2012). Bioinformatics Research and Applications. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-30191-9

Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000

Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000 / Jan 01, 2000

Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000. (2000). Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000. https://doi.org/10.1109/spire.2000.878173

Big Data Knowledge Service Framework based on Knowledge Fusion

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management / Jan 01, 2016

Wang, F., Fan, H., & Liu, G. (2016). Big Data Knowledge Service Framework based on Knowledge Fusion. Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. https://doi.org/10.5220/0006036301160123

Algorithms meet sequencing technologies – 10th edition of the RECOMB-Seq workshop

iScience / Jan 01, 2021

Patro, R., & Salmela, L. (2021). Algorithms meet sequencing technologies – 10th edition of the RECOMB-Seq workshop. IScience, 24(1), 101956. https://doi.org/10.1016/j.isci.2020.101956

BIOKDD 2015 Workshop Committee

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) / Sep 01, 2015

BIOKDD 2015 Workshop Committee. (2015). 2015 26th International Workshop on Database and Expert Systems Applications (DEXA). https://doi.org/10.1109/dexa.2015.8

2014 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 11

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Nov 01, 2014

2014 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 11. (2014). IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(6), 1273–1292. https://doi.org/10.1109/tcbb.2014.2381091

Guest editorial for the 12th Asia Pacific Bioinformatics Conference

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jul 01, 2014

Zhou, S., & Phoebe Chen, Y.-P. (2014). Guest editorial for the 12th Asia Pacific Bioinformatics Conference. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(4), 614–615. https://doi.org/10.1109/tcbb.2014.2327487

Editorial: Special Issue on Algorithms for Sequence Analysis and Storage

Algorithms / Mar 25, 2014

Mäkinen, V. (2014). Editorial: Special Issue on Algorithms for Sequence Analysis and Storage. Algorithms, 7(1), 186–187. https://doi.org/10.3390/a7010186

Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection

2013 24th International Workshop on Database and Expert Systems Applications / Aug 01, 2013

Comin, M., & Verzotto, D. (2013). Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection. 2013 24th International Workshop on Database and Expert Systems Applications. https://doi.org/10.1109/dexa.2013.36

Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection

2013 24th International Workshop on Database and Expert Systems Applications / Aug 01, 2013

Comin, M., & Verzotto, D. (2013). Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection. 2013 24th International Workshop on Database and Expert Systems Applications. https://doi.org/10.1109/dexa.2013.36

Telexistence

Lecture Notes in Computer Science / Jan 01, 2015

Tachi, S. (2015). Telexistence. Virtual Realities, 229–259. https://doi.org/10.1007/978-3-319-17043-5_13

ISSASim 2013 Preface

2013 24th International Workshop on Database and Expert Systems Applications / Aug 01, 2013

ISSASim 2013 Preface. (2013). 2013 24th International Workshop on Database and Expert Systems Applications. https://doi.org/10.1109/dexa.2013.54

Research and Implementation of Massive Health Care Data Management and Analysis Based on Hadoop

2012 Fourth International Conference on Computational and Information Sciences / Aug 01, 2012

Yu, H., & Wang, D. (2012). Research and Implementation of Massive Health Care Data Management and Analysis Based on Hadoop. 2012 Fourth International Conference on Computational and Information Sciences. https://doi.org/10.1109/iccis.2012.225

Scattered-Data-Verfahren

Dagstuhl Seminar 1997 / Jan 01, 1999

Toelke, J. (1999). Scattered-Data-Verfahren. Dagstuhl Seminar 1997, 121–133. https://doi.org/10.1007/978-3-322-89938-5_6

Computation and Incentives of Competitive Equilibria in a Matching Market

Algorithmic Game Theory / Jan 01, 2011

Chen, N., & Deng, X. (2011). Computation and Incentives of Competitive Equilibria in a Matching Market. Lecture Notes in Computer Science, 2–6. https://doi.org/10.1007/978-3-642-24829-0_2

[Virtual + 1] * Reality

Virtual Realities / Oct 26, 2010

Beckhaus, S. (2010). [Virtual + 1] * Reality. Virtual Realities, 77–96. https://doi.org/10.1007/978-3-211-99178-7_5

Combinatorial Pattern Matching

Lecture Notes in Computer Science / Jan 01, 2010

Amir, A., & Parida, L. (Eds.). (2010). Combinatorial Pattern Matching. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-13509-5

Performance Evaluation for Question Classification by Tree Kernels using Support Vector Machines

Journal of Computers / Jan 01, 2010

Rahman, M. A. (2010). Performance Evaluation for Question Classification by Tree Kernels using Support Vector Machines. Journal of Computers, 5(1). https://doi.org/10.4304/jcp.5.1.32-39

How Context and Semantic Information Can Help a Machine Learning System?

MICAI 2007: Advances in Artificial Intelligence

Vázquez, S., Kozareva, Z., & Montoyo, A. (n.d.). How Context and Semantic Information Can Help a Machine Learning System? Lecture Notes in Computer Science, 996–1003. https://doi.org/10.1007/978-3-540-76631-5_95

Appendix Computer Analysis

Earthquake Engineering / Dec 20, 2006

Appendix Computer Analysis. (2006). Earthquake Engineering, 371–422. Portico. https://doi.org/10.1002/9780470168042.app1

Theoretical and Practical Analyses in Metagenomic Sequence Classification

Communications in Computer and Information Science / Jan 01, 2019

Amraoui, H., Elloumi, M., Marcelloni, F., Mhamdi, F., & Verzotto, D. (2019). Theoretical and Practical Analyses in Metagenomic Sequence Classification. Database and Expert Systems Applications, 27–37. https://doi.org/10.1007/978-3-030-27684-3_5

The Colored Longest Common Prefix Array Computed via Sequential Scans

String Processing and Information Retrieval / Jan 01, 2018

Garofalo, F., Rosone, G., Sciortino, M., & Verzotto, D. (2018). The Colored Longest Common Prefix Array Computed via Sequential Scans. Lecture Notes in Computer Science, 153–167. https://doi.org/10.1007/978-3-030-00479-8_13

Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line

GigaScience / Dec 01, 2015

Teo, A. S. M., Verzotto, D., Yao, F., Nagarajan, N., & Hillmer, A. M. (2015). Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0106-1

Filtering Degenerate Patterns with Application to Protein Sequence Analysis

Algorithms / May 22, 2013

Comin, M., & Verzotto, D. (2013). Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms, 6(2), 352–370. https://doi.org/10.3390/a6020352

Education

University of Padua

Ph.D., Computer Science & Engineering / April, 2012

Padova

Experience

Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff

Assistant Professor of Computer Science / December, 2022Present

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