SNP4OrphanSpecies: A bioinformatics pipeline to isolate molecular markers for studying genetic diversity of orphan species.

Background: For several decades, an increase in disease or pest emergences due to anthropogenic introduction or environmental changes has been recorded. This increase leads to serious threats to the genetic and species diversity of numerous ecosystems. Many of these events involve species with poor or no genomic resources (called here "orphan species").

Laser Flare Photometry: A Useful Tool for Monitoring Patients with Juvenile Idiopathic Arthritis-associated Uveitis.

Purpose: We evaluated laser flare photometry (LFP) values in patients with juvenile idiopathic arthritis (JIA)-associated uveitis.

Methods: Retrospective study. A decrease of the LFP value between baseline visit and 1 month after anti-inflammatory treatment intensification allowed us to define two groups of patients: group 1 (decreased LFP value ≥50%) and group 2 (<50%).

Simulation-Based Evaluation of Three Methods for Local Ancestry Deconvolution of Non-model Crop Species Genomes.

Hybridizations between species and subspecies represented major steps in the history of many crop species. Such events generally lead to genomes with mosaic patterns of chromosomal segments of various origins that may be assessed by local ancestry inference methods. However, these methods have mainly been developed in the context of human population genetics with implicit assumptions that may not always fit plant models.

Metatranscriptomic exploration of microbial functioning in clouds.

Clouds constitute the uppermost layer of the biosphere. They host diverse communities whose functioning remains obscure, although biological activity potentially participates to atmospheric chemical and physical processes. In order to gain information on the metabolic functioning of microbial communities in clouds, we conducted coordinated metagenomics/metatranscriptomics profiling of cloud water microbial communities.