C. Lambert

发表

The endoxylanases from family 11: computer analysis of protein sequences reveals important structural and phylogenetic relationships.

J. Wouters, P. De Ioannes, A. Sapag, 2002, Journal of biotechnology.

ESyPred 3 D : Prediction of proteins 3 D structures

C. Lambert, E. Depiereux, Nadia Léonard, 2002 .

Attenuated Signature-Tagged Mutagenesis Mutants ofBrucella melitensis Identified during the Acute Phase ofInfection inMice

A. Dricot, C. Lambert, J. Letesson, 2003, Infection and Immunity.

Comparative analysis of seven multiple protein sequence alignment servers: clues to enhance reliability of predictions

Christophe G. Lambert, P. Briffeuil, G. Baudoux, 1998, Bioinform..

Design and implementation of a database for genome annotation

C. Lambert, E. Depiereux, B. Hertogh, 2020 .

Design and implementation of a database for Brucella melitensis genome annotation.

C. Lambert, E. Depiereux, J. Letesson, 2008, Veterinary microbiology.

Modeling of human monoamine oxidase A: from low resolution threading models to accurate comparative models based on crystal structures.

J. Wouters, C. Lambert, E. Depiereux, 2004, Neurotoxicology.

Resurrection and emendation of the Hypoxylaceae, recognised from a multigene phylogeny of the Xylariales

C. Lambert, M. Stadler, D. Peršoh, 2017, Mycological Progress.

Complete genome sequence of Streptomyces lividans TK24.

S. Jaenicke, J. Kalinowski, C. Rückert, 2015, Journal of biotechnology.

Review of Common Sequence Alignment Methods: Clues to Enhance Reliability

Eric Depiereux, J. V. Campenhout, C. Lambert, 2003 .

Structure and function prediction of the Brucella abortus P39 protein by comparative modeling with marginal sequence similarities.

J. Wouters, C. Lambert, E. Depiereux, 1999, Protein engineering.

Intragenomic polymorphisms in the ITS region of high-quality genomes of the Hypoxylaceae (Xylariales, Ascomycota)

R. Cox, C. Lambert, M. Kolařík, 2020, Mycological Progress.

High quality genome sequences of thirteen Hypoxylaceae (Ascomycota) strengthen the phylogenetic family backbone and enable the discovery of new taxa

C. Rückert, R. Cox, C. Lambert, 2020, Fungal Diversity.

ESyPred3D: Prediction of proteins 3D structures

Christophe G. Lambert, Xavier De Bolle, Eric Depiereux, 2002, Bioinform..

Functional, molecular and structural characterisation of five anti-Brucella LPS mAb.

C. Lambert, J. Letesson, P. Mertens, 2004, Molecular immunology.

PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria

Ke Wang, Christophe G. Lambert, Martin Ester, 2003, Nucleic Acids Res..

Systematic Targeted Mutagenesis of Brucella melitensis 16M Reveals a Major Role for GntR Regulators in the Control ofVirulence

C. Lambert, J. Letesson, V. Haine, 2005, Infection and Immunity.

PSORTdb: a protein subcellular localization database for bacteria

Christophe G. Lambert, Matthew R. Laird, Fiona S. L. Brinkman, 2004, Nucleic Acids Res..

Identification of polymorphic microsatellite loci for the endangered Kagu (Rhynochetos jubatus) by high-throughput sequencing

C. Lambert, J. Theuerkauf, R. Gula, 2011, Journal of Ornithology.

Complete Genome Sequence of Caulobacter crescentus Bacteriophage φCbK

C. Lambert, G. Panis, P. Viollier, 2012, Journal of Virology.

A specific statistical model and algorithm related to the detection of Mollicutes in contaminated biological samples by Real-Time Transcription Mediated Amplification.

C. Lambert, S. Laborde, O. Quinet, 2012, Journal of microbiological methods.

Cytochalasans produced by Xylaria karyophthora and their biological activities

K. Rottner, T. Stradal, C. Lambert, 2023, Mycologia.

Generation of the Brucella melitensis ORFeome version 1.1.

M. Vidal, J. Rual, A. Dricot, 2004, Genome research.

Cytochalasans and Their Impact on Actin Filament Remodeling

K. Rottner, T. Stradal, C. Lambert, 2023, Biomolecules.

Development and testing of an internet software for protein sequence alignment

J. V. Campenhout, C. Lambert, E. Depiereux, 1999 .

Exploiting the potentially informative prediction from protein sequences to improve sensitivity and selectivity of multiple sequence alignment, Archives of Physiology and Biochemistry, 110:B19

J. V. Campenhout, C. Lambert, E. Depiereux, 2000 .

A new strategy algorithm to improve power and confidence of multiple sequence alignment by exploiting informative prediction program, Protein Science 9(suppl. 1):76

Xavier De Bolle, Eric Depiereux, Christophe Lambert, 2000 .

STRAIN: an R package for multi-locus sequence typing from whole genome sequencing data

Marco Romanelli, Mattia Dalsass, Margherita Bodini, 2019, BMC Bioinformatics.