Kevin Sutanto and Marcel Turcotte. Assessing global-local secondary structure fingerprints to classify RNA sequences with deep learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics Special Issue, Submitted on 2021-02-28; Major Revision Requested on 2021-05-12.
 Ghada Badr, Isra Al-Turaiki, Marcel Turcotte, and Hassan Mathkour. Incmd: Incremental trie-based structural motif discovery algorithm. Journal of Bioinformatics and Computational Biology, 12(05):1450027, October 2014. PMID: 25362841.
 Mikhail Jiline, Stan Matwin, and Marcel Turcotte. Annotation Concept Synthesis and Enrichment Analysis: a Logic-Based Approach to the Interpretation of High-Throughput Experiments. Bioinformatics, 27(17):2391–2398, July 2011.
 V. X. Jin and M. Turcotte. Detecting localized interspersed motifs in genomic sequences: Application to the mouse genome. IEEE Transactions on Instrumentation and Measurement, 56(5):1770–1775, October 2007.
 M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. Use of inductive logic programming to learn principles of protein structure. Electronic Transactions on Artificial Intelligence, ETAI, 5(39), 2000.
 S. A. Benner, G. Cannarozzi, D. Gerloff, M. Turcotte, and G. Chelvanayagam. Bona Fide prediction of protein secondary structure using transparent analyses of multiple sequence alignments. Chemical Review, 97(8):2725 – 2843, 1997.
 D.L. Gerloff, F.E. Cohen, C. Korostensky, M. Turcotte, G.H. Gonnet, and S.A. Benner. A predicted concensus for the N-terminal fragment of the heat shock protein HSP90 family. Proteins: Struct. Funct. Genet., 27:450–458, 1996.
 M. Feeley, M. Turcotte, and G. Lapalme. Using Multilisp for solving constraint satisfaction problems: an application to nucleic acid 3D structure determination. LISP AND SYMBOLIC COMPUTATION, 7(2/3):232–247, 1994.
 F. Major, M. Turcotte, , D. Gautheret, G. Lapalme, E. Fillion, and R. Cedergren. The combination of symbolic and numerical computation for three-dimensional modeling of RNA. Science, 253:1255–1260, September 1991.
 Kevin Sutanto and Marcel Turcotte. Extracting and evaluating features from RNA virus sequences to predict host species susceptibility using deep learning. In 13th International Conference on Bioinformatics and Biomedical Technology (ICBBT 2021), Northwestern Polytechnical University, Xi’an, China, May 21-23 2021.
 Kevin Sutanto and Marcel Turcotte. Assessing the use of secondary structure fingerprints and deep learning to classify RNA sequences. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, South Korea, December 16-19 2020.
 Manuel Belmadani and Marcel Turcotte. MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences. In IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2016), Chiang Mai, Thailand, October, 5-7, 2016 2016.
 Alexander Gawronski and Marcel Turcotte. Novel framework for the discovery of RNA elements and its application to Euglenozoa. In International Symposium on Bioinformatics Research and Applications (ISBRA), 2013.
 Oksana Korol and Marcel Turcotte. Learning relationships between over-represented motifs in a set of DNA sequences. In CIBCB 2012 : IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, USA, May 9–12 2012.
 Sandrine Moreira, Marcel Turcotte, and Gertraud Burger. NGS: Neglected genome sequencing assembly and annotation challenges in a highly divergent protozoan genome. In JOBIM 2011 : Journées Ouvertes en Biologie, Informatique et Mathématiques, Paris, France, June 28 – July 1 2011.
 Ghada Badr and Marcel Turcotte. Component-based matching for multiple interacting rna sequences. In Jianer Chen, Jianxin Wang, and Alexander Zelikovsky, editors, Bioinformatics Research and Applications, volume 6674 of Lecture Notes in Computer Science, pages 73–86. Springer Berlin / Heidelberg, 2011. 10.1007/978-3-642-21260-4_11.
 Mikhail Jiline, Stan Matwin, and Marcel Turcotte. Annotation concept synthesis and enrichment analysis: a logic-based approach to interpretation of high-throughput experiments. In A. Farzindar and V. Keselj, editors, Canadian Conference on Artificial Intelligence 2010, Lecture Notes in Artificial Intelligence 6085, pages 304–308, Ottawa, May 31–June 2 2010.
 Étienne Ogoubi, David Pouliot, M. Turcotte, and Abdelhakim Hafid. Parallel multiprocessor approaches to the RNA folding problem. In Parallel Processing and Applied Mathematics, pages 1230–1239, 2008.
 Étienne Ogoubi, Abdelhakim Hafid, and M. Turcotte. An Isometric on on-Chip Multiprocessor Architecture. In Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on, pages 991–994, December 11–14, 2007 2007.
 M. Anwar and M. Turcotte. An approach to selecting putative RNA motifs using MDL principle. In BIOCOMP’06 — The 2006 International Conference on Bioinformatics & Computational Biology, pages 560–565, Las Vegas, Nevada, USA, June 26–29 2006.
 M. Anwar and M. Turcotte. Evaluation of RNA secondary structure motifs using regression analysis. In IEEE CCECE 2006 — Canadian Conference on Electrical and Computer Engineering, pages 1716–1721, Ottawa, Canada, May 7–10 2006.
 T. Nguyen and M. Turcotte. Exploring the space of RNA secondary structure motifs using suffix arrays. In S. Blair et al., editor, 6th International Symposium on Computational Biology and Genome Informatics (CBGI 2005), pages 1291–1298, Salt Lake City, Utah, USA, July 21-26 2005.
 B. Masoumi and M. Turcotte. Simultaneous alignment and structure prediction of RNAs: Are three input sequences better than two? In V.S. Sunderam, G.D. van Albada, P.M.A. Sloot, and J. Dongarra, editors, 2005 International Conference on Computational Science (ICCS 2005), Lecture Notes in Computer Science 3515, pages 936–943, Atlanta, USA, May 22-25 2005.
 V. Jin and M. Turcotte. Detecting localized interspersed motifs in genomic sequences. In IMTC/05 IEEE Instrumentation and Measurement Technology Conference, pages 267–270, Ottawa, Canada, May 17-19 2005.
 M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. Application of inductive logic programming to discover rules governing the three-dimensional topology of protein structure. In C. D. Page, editor, Proc. of the 8th International Workshop on Inductive Logic Programming (ILP-98), Lecture Notes in Artificial Intelligence 1446, pages 53–64, Berlin, 1998. Springer-Verlag.
 Andrew Sowinski, Marcel Turcotte, Gilbert Arbez, and David Taylor. One-minute quizzes to identify potential students atc risk in engineering courses. In Proceedings of the Canadian Engineering Education Association (CEEA), University of Toronto, June 4–7 2017.
 Mikhail Jiline, Stan Matwin, and Marcel Turcotte. Annotation concept synthesis and enrichment analysis: A logic-based approach to the interpretation of high-throughput biological experiments. In 2012 Learning Workshop, Snowbird, Utah, April 3-6 2012. Computational and Biological Learning Society and the NIPS.
 S. Moreira, S. Breton, M. Valach, M. Aoulad Aissa, M Turcotte, and G Burger. Identification of an elusive trans-splicing machinery. In Annual meeting of the Society for Molecular Biology & Evolution (SMBE 2012), Dublin, Ireland, June 23-26 2012. Poster.
 Sandrine Moreira, Marcel Turcotte, and Gertraud Burger. In silico identification of the elusive trans-splicing machinery of a highly divergent protozoan. In 2011 MonBUG Bioinformatics Symposium, Montréal, September 23 2011.
 Sandrine Moreira, Marcel Turcotte, and Gertraud Burger. Diversité géomique : le curieux mode d’expression des gènes d’un eucaryote unicellulaire. In Association francophone pour le savoir (ACFAS), Sherbrooke, Canada, May 9–13 2011.
 Georgette Kiethega, Marcel Turcotte, and Gertraud Burger. Nouveau mécanisme de trans-splicing dans la mitochondrie des diplonides. In Association francophone pour le savoir (ACFAS), Sherbrooke, Canada, May 9–13 2011.
 Gertraud Burger, Georgette Kiethega, and Marcel Turcotte. Unconventional trans-splicing and RNA-editing in mitochondria of an Euglenozoan. In ICPMB 2011. International Conference for Plant Mitochondrial Biology, Hohenroda, Germany, May 14–19 2011.
 Oksana Korol and Marcel Turcotte. Module Inducer — a tool to automatically extract knowledge from biological sequences. In RECOMB2011, 15th Annual International Conference of Research in Computational Molecular Biology, Vancouver, March 28–31 2011.
 Yifei Yan, Seyed Amir Malekpour, Marcel Turcotte, Georgette Kiethega, and Gertraud Burger. RNA editing and trans-splicing directed by gRNAs? In 2011 Gordon Research Conference on RNA Editing, January 9–14 2011. Poster.
 Georgette Kiethega, Marcel Turcotte, and Gertraud Burger. cox1 gene fragmentation and rna editing in diplonemid mitochondria. In 18th meeting of International Society for Evolutionary Protistrogy (ISEP XVIII), Kanazawa, Japan, July 2–7 2010 2010.
 S. Kannan, M. Turcotte, and M. Burger. Automated (RNA) motifs discovery in the mitochondrial genome of diplonema papillatum. Oral presentation, Robert Cedergren Bioinformatics Colloquium 2008, Montréal, Canada, 2008.
 M. Jiline, K. Baetz, M. Turcotte, and S. Matwin. Knowledge enriched mining of systematic genome screens using inductive logic programming. In Progress in Systems Biology 2006, Ottawa, November 9 and 10 2006. Oral presentation.
 S. Baird, M. Turcotte, R. Korneluk, and M. Holcik. Discovery of novel internal ribosome entry site motifs from searches with the XIAP IRES structure. 2006 Cold Spring Harbor Laboratory Meeting on Translational Control, Poster, September 6 – 10 2006.
 S. Baird, M. Turcotte, R. Korneluk, and Holcik M. Searching for IRES structurally similar to the XIAP IRES. In RNA 2005, the Tenth Annual Meeting of the RNA Society, Banff, Canada. Poster #566, May 24-29 2005.
 B. Masoumi and M. Turcotte. A dynamic programming algorithm for [the] simultaneous alignment and structure prediction of 3 RNA sequences. BioNorth 2004 — 11th Annual Ottawa Life Sciences International Conference & Exhibition, Poster #114, Nov 29-Dec 1st 2004.
 S. Baird, M. Turcotte, R. Korneluk, and Holcik M. Structural determination of internal ribosome entry sites with currently available software. In RNA 2004, the Ninth Annual Meeting of the RNA Society, Madison, Wisconsin, Poster Session, June 1-6 2004.
 M. Turcotte. Détermination de structures secondaires conservées dans les ARNs: Application à l’étude des transcrits du gène c-myc des mammifères. 72e congrès de l’ACFAS, Montréal, Canada, May 10-14 2004. Oral Presentation.
 S. Baird, S. Balabanian, R. G. Korneluk, M. Turcotte, and M. Holcik. Unique sequence characteristics of internal ribosome entry sites useful for database search. BioNorth 2002 — 9th Annual Ottawa Life Sciences International Conference & Exhibition, Poster session, November 4–6 2002.
 M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. Generating protein three-dimensional folds signatures using inductive logic programming. In 2000 Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, Birmingham, UK, April 17-20 2000. Oral Presentation.
 M. J. E. Sternberg, P. A. Bates, L. A. Kelley, R. M. MacCallum, A. Müller, S. Muggleton, and M. Turcotte. Exploiting protein structure in the post-genome era. In Intelligent Systems for Molecular Biology 1999, 1999. Oral Presentation.
 M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. Learning rules which relate local structure to specific protein taxonomic classes. In The 16th Machine Intelligent Workshop, King’s Manor, York, December 1–3 1998.
 M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. A Prolog database unifying taxonomic and structural information. In Intelligent Systems for Molecular Biology (ISMB 1998) Book of Abstracts, Poster Session, Montréal, Canada, June 28–July 1 1998.
 F. Major, M. Turcotte, and G. Lapalme. Constraint satisfaction in functional programming. In Principles and Practice of Constraint Programming, pages 174–177, Newport, Rhode Island, April 28–30 1993.
 M. Turcotte, G. Lapalme, and R. Cedergren. A measure of association for coordinated substitutions in proteins. In Book of Abstracts, Patterns of Biological Organizations, Rensselaerville, NY, October 1992. 1992 Albany Conference. Poster Session.
 D. Gautheret, M. Turcotte, R. Cedergren, F. Major, and G. Lapalme. Modeling and prediction of RNA 3-D structures by combining symbolic and numerical approaches. J. Biomol. Struct. Dynam., 8(6):a061, June 1991.
 R. Cedergren, F. Major, D. Gautheret, E. Fillion, L. Jolicoeur, M. Turcotte, and R. Cedergren. A 3-D model of the hammerhead domain derived from experimental and topological constrainsts. International Conference on Catalytic RNA as Anti-HIV agent: Design and Delivery to Cells, San Diego, California, October 1990. Oral Presentation.
 M. Turcotte, F. Major, G. Lapalme, D. Gautheret, E. Fillion, and R. Cedergren. Using functional and logic programming in molecular graphics applications. 9th annual meeting of the Molecular Graphics Society, helded Uppsala, Sweeden, Poster Session, July 1990.
 M. Turcotte, G. Lapalme, R. Cedergren, and F. Major. A user-interface for the folding and unfolding system (FUS). 1st C.I.A.R. Evolution Group Meeing for Graduate Students, Université de Montréal, Montréal, Canada, Oral Presentation, 1989.
 Kevin Sutanto. RNA sequence classification using secondary structure fingerprints, sequence-based features, and deep learning. Master of computer science, University of Ottawa, School of Electrical Engineering and Computer Science, 2021.
 Alexander Gawronski. RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions. Master’s thesis, School of Electrical Engineering and Computer Science, University of Ottawa, 2013.
 Oksana Korol. ModuleInducer: automating the extraction of knowledge from biological sequences. Master’s thesis, University of Ottawa, School of Electrical Engineering and Computer Science, Defended on September 20, 2011 2011.
 Mikhail Jiline. Annotation Concept Synthesis and Enrichment Analysis: a Logic-Based Approach to the Interpretation of High-Throughput Biological Experiments. PhD thesis, Ottawa-Carleton Institute for Computer Science, University of Ottawa, 2011.
 Predrag Mizdrak. Novel iterative approach to joint sequence alignment and tree inference under maximum likelihood: a critical assessment. Master’s thesis, Ottawa-Carleton Institute for Computer Science, University of Ottawa, 2008.
 Beeta Masoumi. A dynamic programming algorithm for the simultaneous alignment and structure prediction of three RNA sequences. Master’s thesis, School of Information Technology and Engineering, Faculty of Engineering, University of Ottawa, 2005.
 Truong Nguyen. Efficient determination of concensus secondary structures in RNA. Master of applied science in engineering, School of Information Technology and Engineering, Faculty of Engineering, University of Ottawa, 2004.