Archives Publications

Rochat T. et al.
Genomic characterization of Flavobacterium psychrophilum serotypes and development of a multiplex PCR-based serotyping scheme.
Front in Microbiol.(2017) Sep. 8:1752.
doi: 10.3389/fmicb.2017.01752

Chaignaud P. et al.
Genomic and transcriptomic analysis of growth-supporting dehalogenation of chlorinated methanes in Methylobacterium.
Front Microbiol. (2017) Se. 8:1600.
doi: 10.3389/fmicb.2017.01600

Su XP. et al.
NSD1 inactivation and SETD2 mutation drive a convergence toward loss of function of H3K36 writers in Clear Cell Renal Cell Carcinomas.
Cancer Res. (2017) Sept. 77 (18): 4835-4845
doi: 10.1158/0008-5472.CAN-17-0143

Ivanova ELet al.
Homozygous truncating variants in TBC1D23 cause Pontocerebellar Hypoplasia and alter cortical development.
Am J Hum Genet. (2017) Sep. 101(3):428-440.
doi: 10.1016/j.ajhg.2017.07.010

Martin G. et al.
Evolution of the Banana genome (Musa acuminata) is Impacted by large chromosomal translocations.
Mol Biol Evol. (2017) Sep. 34(9):2140-2152.
doi: 10.1093/molbev/msx164

Madoui MA. et al.
New insights into global biogeography, population structure and natural selection from the genome of the epipelagic copepod Oithona.
Mol Ecol. (2017) Sep. 26(17):4467-4482.
doi: 10.1111/mec.14214

Arrigoni R. et al.
A new sequence data set of SSU rRNA gene for Scleractinia and its phylogenetic and ecological applications.
Mol Ecol Resour. (2017) Sep. 17(5):1054-1071.
doi: 10.1111/1755-0998.12640

Argout X. et al.
The cacao Criollo genome v2.0: an improved version of the genome for genetic and functional genomic studies.
BMC Genomics (2017), Sep. 18(1):730.
doi: 10.1186/s12864-017-4120-9

Ivanova C. et al.
Genome sequencing and transcriptome analysis of Trichoderma reesei QM9978 strain reveals a distal chromosome translocation to be responsible for loss of vib1 expression and loss of cellulase induction.
Biotechnology for Biofuels (2017) Sep. 10:209.
doi: 10.1186/s13068-017-0897-7

Cohen-Boulakia S. et al.
Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities.
Future Generation Computer Systems (2017) Oct. 75:284-298.
doi: 10.1016/j.future.2017.01.012