Peer-reviewed journals
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[1]
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E. Kopylova, L. Noé, and H. Touzet, “SortMeRNA: Fast and accurate
filtering of ribosomal RNAs in metatranscriptomic data,”
Bioinformatics, vol. 28, no. 24, pp. 3211-3217, 2012.
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[2]
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M. Startek, S. Lasota, M. Sykulski, A. Bulak, L. Noé, G. Kucherov, and
A. Gambin, “Efficient alternatives to PSI-BLAST,” Bulletin of the
Polish Academy of Sciences: Technical Sciences, vol. 60, pp. 495-505,
December 2012.
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[3]
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L. Noé, M. Gîrdea, and G. Kucherov, “Designing efficient spaced seeds
for SOLiD read mapping,” Advances in Bioinformatics, vol. 2010,
p. ID 708501, July 2010.
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[4]
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M. Gîrdea, G. Kucherov, and L. Noé, “Back-translation for discovering
distant protein homologies in the presence of frameshift mutations,”
Algorithms for Molecular Biology, vol. 5, January 2010.
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[5]
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M. A. Roytberg, A. Gambin, L. Noé, S. Lasota, E. Furletova, E. Szczurek,
and G. Kucherov, “On subset seeds for protein alignment,” IEEE/ACM
Transactions on Computational Biology and Bioinformatics (TCBB), vol. 6,
pp. 483-494, July 2009.
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DOI |
arXiv |
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[6]
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P. Peterlongo, L. Noé, D. Lavenier, V.-H. Nguyen, G. Kucherov, and
M. Giraud, “Optimal neighborhood indexing for protein similarity search,”
BMC Bioinformatics, vol. 9, p. 534, December 2008.
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[7]
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M. Csűrös, L. Noé, and G. Kucherov, “Reconsidering the
significance of genomic word frequencies,” Trends in Genetics,
vol. 23, pp. 543-546, November 2007.
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DOI |
arXiv |
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[8]
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G. Kucherov, L. Noé, and M. A. Roytberg, “A unifying framework for seed
sensitivity and its application to subset seeds,” Journal of
Bioinformatics and Computational Biology, vol. 4, pp. 553-569, November
2006.
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arXiv |
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[9]
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L. Noé and G. Kucherov, “YASS: enhancing the sensitivity of DNA
similarity search,” Nucleic Acids Research, vol. 33 (web-server
issue), pp. W540-W543, April 2005.
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[10]
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G. Kucherov, L. Noé, and M. A. Roytberg, “Multiseed lossless filtration,”
IEEE/ACM Transactions on Computational Biology and Bioinformatics
(TCBB), vol. 2, pp. 51-61, January 2005.
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arXiv |
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[11]
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L. Noé and G. Kucherov, “Improved hit criteria for DNA local
alignment,” BMC Bioinformatics, vol. 5, p. 149, October 2004.
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