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20062014
most citedMultiseed Lossless Filtration

71 citations · 240 across the 11 of their papers we have counts for

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Showing q-bio.QMShow all

6 papers · 1 filter

q-bio.QM2014★ 26 cited

A Coverage Criterion for Spaced Seeds and its Applications to Support Vector Machine String Kernels and k-Mer Distances

Laurent Noé, Donald E. K. Martin

Spaced seeds have been recently shown to not only detect more alignments, but also to give a more accurate measure of phylogenetic distances (Boden et al., 2013, Horwege et al., 20…

q-bio.QM2010★ 1 cited

Seed design framework for mapping SOLiD reads

Laurent Noé, Marta L. Gîrdea, Gregory Kucherov

The advent of high-throughput sequencing technologies constituted a major advance in genomic studies, offering new prospects in a wide range of applications. We propose a rigorous…

q-bio.QM2010★ 1 cited

Back-translation for discovering distant protein homologies

Marta L. Gîrdea, Laurent Noé, Gregory Kucherov

Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from revealing the…

q-bio.QM2009★ 71 cited

Multiseed Lossless Filtration

Gregory Kucherov, Laurent Noé, Mikhail A. Roytberg

We study a method of seed-based lossless filtration for approximate string matching and related bioinformatics applications. The method is based on a simultaneous use of several sp…

q-bio.QM2009★ 27 cited

On subset seeds for protein alignment

Mikhail A. Roytberg, Anna Gambin, Laurent Noé +4

We apply the concept of subset seeds proposed in [1] to similarity search in protein sequences. The main question studied is the design of efficient seed alphabets to construct see…

q-bio.QM2008

Efficient seeding techniques for protein similarity search

Mihkail Roytberg, Anna Gambin, Laurent Noé +4

We apply the concept of subset seeds proposed in [1] to similarity search in protein sequences. The main question studied is the design of efficient seed alphabets to construct see…