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20062023
most citedSpaced seeds improve k-mer-based metagenomic classification

112 citations · 369 across the 25 of their papers we have counts for

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Showing q-bio.GNShow all

6 papers · 1 filter

q-bio.GN2018

Evolution of biosequence search algorithms: a brief survey

Gregory Kucherov

The paper surveys the evolution of main algorithmic techniques to compare and search biological sequences. We highlight key algorithmic ideas emerged in response to several interco…

q-bio.GN2017

Ococo: an online variant and consensus caller

Karel Břinda, Valentina Boeva, Gregory Kucherov

Motivation: Identifying genomic variants is an essential step for connecting genotype and phenotype. The usual approach consists of statistical inference of variants from alignment…

q-bio.GN2016★ 8 cited

Dynamic read mapping and online consensus calling for better variant detection

Karel Břinda, Valentina Boeva, Gregory Kucherov

Variant detection from high-throughput sequencing data is an essential step in identification of alleles involved in complex diseases and cancer. To deal with these massive data, e…

q-bio.GN2015★ 11 cited

RNF: a general framework to evaluate NGS read mappers

Karel Břinda, Valentina Boeva, Gregory Kucherov

Aligning reads to a reference sequence is a fundamental step in numerous bioinformatics pipelines. As a consequence, the sensitivity and precision of the mapping tool, applied with…

q-bio.GN2015★ 112 cited

Spaced seeds improve k-mer-based metagenomic classification

Karel Brinda, Maciej Sykulski, Gregory Kucherov

Metagenomics is a powerful approach to study genetic content of environmental samples that has been strongly promoted by NGS technologies. To cope with massive data involved in mod…

q-bio.GN2006★ 1 cited

Reconsidering the significance of genomic word frequency

Miklós Csűrös, Laurent Noé, Gregory Kucherov

We propose that the distribution of DNA words in genomic sequences can be primarily characterized by a double Pareto-lognormal distribution, which explains lognormal and power-law…