Méthode

Pierre Lopez et al.
Genomic characterization of Tenacibaculum maritimum O‐antigen gene cluster and development of a multiplex PCR‐based serotyping scheme
Transboundary and Emerging Diseases 2022
doi: 10.1111/tbed.14637

Célia Carbonne et al.
Metatranscriptomics of cheese microbial communities: Efficiency of RNA extraction from various cheese types and of mRNA enrichment
International Journal of Food Microbiology 2022, vol. 373
doi: 10.1016/j.ijfoodmicro.2022.109701

Jean-Marc Aury et al.
Long-read and chromosome-scale assembly of the hexaploid wheat genome achieves high resolution for research and breeding
GigaScience 2022, vol. 11
doi: 10.1093/gigascience/giac034

Grégoire Siekaniec et al.
Identification of isolated or mixed strains from long reads: a challenge met on Streptococcus thermophilus using a MinION sequencer
Microbial Genomics 2021, vol. 7, issue 11
doi: 10.1099/mgen.0.000654

Frédéric Jehl et al.
RNA-Seq Data for Reliable SNP Detection and Genotype Calling: Interest for Coding Variant Characterization and Cis-Regulation Analysis by Allele-Specific Expression in Livestock Species
Frontiers in Genetics 2021, vol. 12
doi: 10.3389/fgene.2021.655707

Miriam I. Brandt et al.
Evaluating sediment and water sampling methods for the estimation of deep-sea biodiversity using environmental DNA
Scientific Reports 2021, vol. 11, issue 1
doi: 10.1038/s41598-021-86396-8

Miriam I. Brandt et al.
Bioinformatic pipelines combining denoising and clustering tools allow for more comprehensive prokaryotic and eukaryotic metabarcoding
Molecular Ecology Resources 2021
doi: 10.1111/1755-0998.13398

Béatrice Regnault et al.
Deep Impact of Random Amplification and Library Construction Methods on Viral Metagenomics Results
Viruses 2021, vol. 13, issue 2
doi: 10.3390/v13020253

François Rousset et al.
The impact of genetic diversity on gene essentiality within the Escherichia coli species
Nature Microbiology 2021, vol. 6, issue 3
doi: 10.1038/s41564-020-00839-y

Shu-Hong Lin et al.
Low-frequency variation near common germline susceptibility loci are associated with risk of Ewing sarcoma
PLOS ONE 2020, vol. 15, issue 9
doi: 10.1371/journal.pone.0237792