Searching for IRES SD Baird, M Turcotte, RG Korneluk, M Holcik Rna 12 (10), 1755-1785, 2006 | 416 | 2006 |
The Combination of Symbolic and Numerical Computation or Three-Dimensional Modeling of RNA F Major, M Turcotte, D Gautheret, G Lapalme, E Fillion, R Cedergren Science 253 (5025), 1255-1260, 1991 | 270 | 1991 |
A search for structurally similar cellular internal ribosome entry sites SD Baird, SM Lewis, M Turcotte, M Holcik Nucleic acids research 35 (14), 4664-4677, 2007 | 106 | 2007 |
Automated discovery of structural signatures of protein fold and function M Turcotte, SH Muggleton, MJE Sternberg Journal of Molecular Biology 306 (3), 591-605, 2001 | 72 | 2001 |
Bona Fide Predictions of Protein Secondary Structure Using Transparent Analyses of Multiple Sequence Alignments SA Benner, G Cannarozzi, D Gerloff, M Turcotte, G Chelvanayagam Chemical Reviews 97 (8), 2725-2844, 1997 | 71 | 1997 |
Application of inductive logic programming to discover rules governing the three-dimensional topology of protein structure M Turcotte, SH Muggleton, MJE Sternberg ILP-98 8, 53, 1998 | 62 | 1998 |
The effect of relational background knowledge on learning of protein three-dimensional fold signatures M Turcotte, SH Muggleton, MJE Sternberg Machine Learning 43, 81-95, 2001 | 44 | 2001 |
RNA-level unscrambling of fragmented genes in Diplonema mitochondria GN Kiethega, Y Yan, M Turcotte, G Burger RNA biology 10 (2), 301-313, 2013 | 40 | 2013 |
A predicted consensus structure for the N‐terminal fragment of the heat shock protein Hsp90 family DL Gerloff, FE Cohen, C Korostensky, M Turcotte, GH Gonnet, SA Benner Proteins: Structure, Function, and Bioinformatics 27 (3), 450-458, 1997 | 34 | 1997 |
Identification of consensus RNA secondary structures using suffix arrays M Anwar, T Nguyen, M Turcotte BMC bioinformatics 7, 1-15, 2006 | 31 | 2006 |
Evolutionarily Conserved cox1Trans-Splicing Without cis-Motifs GN Kiethega, M Turcotte, G Burger Molecular biology and evolution 28 (9), 2425-2428, 2011 | 29 | 2011 |
Using Multilisp for solving constraint satisfaction problems: an application to nucleic acid 3D structure determination M Feeley, M Turcotte, G Lapalme Lisp and symbolic computation 7, 231-247, 1994 | 24 | 1994 |
Simultaneous alignment and structure prediction of three RNA sequences B Masoumi, M Turcotte International Journal of Bioinformatics Research and Applications 1 (2), 230-245, 2005 | 15 | 2005 |
RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions AR Gawronski, M Turcotte BMC bioinformatics 15 (Suppl 13), S2, 2014 | 12 | 2014 |
Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction? AB Bellamy-Royds, M Turcotte BMC bioinformatics 8, 1-19, 2007 | 11 | 2007 |
Generating protein three-dimensional fold signatures using inductive logic programming M Turcotte, SH Muggleton, MJE Sternberg Computers & Chemistry 26 (1), 57-64, 2001 | 11 | 2001 |
WACS: improving ChIP-seq peak calling by optimally weighting controls A Awdeh, M Turcotte, TJ Perkins BMC bioinformatics 22, 1-21, 2021 | 7 | 2021 |
Component-based matching for multiple interacting RNA sequences G Badr, M Turcotte International Symposium on Bioinformatics Research and Applications, 73-86, 2011 | 7 | 2011 |
Assessing the use of secondary structure fingerprints and deep learning to classify RNA sequences K Sutanto, M Turcotte 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 6 | 2020 |
Exploring the conformations of nucleic acids M Turcotte, G Lapalme, F Major Journal of Functional Programming 5 (3), 443-460, 1995 | 6 | 1995 |