Constraint Satisfaction in Functional Programming. - François Major; Marcel Turcotte; Guy Lapalme (PPCP, 1993)

Using Multilisp for Solving Constraint Satisfaction Problems: An Application to Nucleic Acid 3D Structure Determination. - Marc Feeley; Marcel Turcotte; Guy Lapalme (LISP Symb. Comput., 1994)

Exploring the Conformations of Nucleic Acids. - Marcel Turcotte; Guy Lapalme; François Major (J. Funct. Program., 1995)

Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. - Marcel Turcotte; Stephen H. Muggleton; Michael J. E. Sternberg (ILP, 1998)

Use of Inductive Logic Programming to Learn Principles of Protein Structure. - Marcel Turcotte; Stephen H. Muggleton; Michael J. E. Sternberg (Electron. Trans. Artif. Intell., 2000)

The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. - Marcel Turcotte; Stephen H. Muggleton; Michael J. E. Sternberg (Mach. Learn., 2001)

Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. - Marcel Turcotte; Stephen H. Muggleton; Michael J. E. Sternberg (Comput. Chem., 2002)

Simultaneous Alignment and Structure Prediction of RNAs. - Beeta Masoumi; Marcel Turcotte (International Conference on Computational Science (2), 2005)

Simultaneous alignment and structure prediction of three RNA sequences. - Beeta Masoumi; Marcel Turcotte (Int. J. Bioinform. Res. Appl., 2005)

An Approach to Selecting Putative RNA Motifs Using MDL Principle. - Mohammad Anwar; Marcel Turcotte (BIOCOMP, 2006)

Evaluation of RNA Secondary Structure Motifs using Regression Analysis. - Mohammad Anwar; Marcel Turcotte (CCECE, 2006)

Identification of consensus RNA secondary structures using suffix arrays. - Mohammad Anwar; Truong Nguyen; Marcel Turcotte (BMC Bioinform., 2006)

An Isometric on on-Chip Multiprocessor Architecture. - Étienne Ogoubi; Abdelhakim Hafid; Marcel Turcotte (ICECS, 2007)

Parallel Multiprocessor Approaches to the RNA Folding Problem. - Étienne Ogoubi; David Pouliot; Marcel Turcotte; Abdelhakim Hafid (PPAM, 2007)

Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction? - Amelia B. Bellamy-Royds; Marcel Turcotte (BMC Bioinform., 2007)

Detecting Localized Interspersed Motifs in Genomic Sequences. - Victor X. Jin; Marcel Turcotte (IEEE Trans. Instrum. Meas., 2007)

Annotation Concept Synthesis and Enrichment Analysis. - Mikhail Jiline; Stan Matwin; Marcel Turcotte (Canadian AI, 2010)

Component-Based Matching for Multiple Interacting RNA Sequences. - Ghada Badr; Marcel Turcotte (ISBRA, 2011)

Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments. - Mikhail Jiline; Stan Matwin; Marcel Turcotte (Bioinform., 2011)

Learning relationships between over-represented motifs in a set of DNA sequences. - Oksana Korol; Marcel Turcotte (CIBCB, 2012)

RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions. - Alex R. Gawronski; Marcel Turcotte (BMC Bioinform., 2014)

IncMD: Incremental trie-based structural motif discovery algorithm. - Ghada Hany Badr; Isra Al-Turaiki; Marcel Turcotte; Hassan Mathkour (J. Bioinform. Comput. Biol., 2014)

MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences. - Manuel Belmadani; Marcel Turcotte (CIBCB, 2016)

Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA Sequences. - Kevin Sutanto; Marcel Turcotte (BIBM, 2020)

Extracting and Evaluating Features from RNA Virus Sequences to Predict Host Species Susceptibility Using Deep Learning. - Kevin Sutanto; Marcel Turcotte (ICBBT, 2021)

WACS: improving ChIP-seq peak calling by optimally weighting controls. - Aseel Awdeh; Marcel Turcotte; Theodore J. Perkins (BMC Bioinform., 2021)

Assessing Global-Local Secondary Structure Fingerprints to Classify RNA Sequences With Deep Learning. - Kevin Sutanto; Marcel Turcotte (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)