Hansson Yilmaz (hopeseason49)

i. Comparing the composition of microbial communities among groups of interest (e.g., patients vs healthy individuals) is a central aspect in microbiome research. It typically involves sequencing, data processing, statistical analysis and graphical display. Such an analysis is normally obtained by using a set of different applications that require specific expertise for installation, data processing and in some cases, programming skills. Here, we present SHAMAN, an interactive web application we developed in order to facilitate the use of (i) a bioinformatic workflow for metataxonomic analysis, (ii) a reliable statistical modelling and (iii) to provide the largest panel of interactive visualizations among the applications that are currently available. SHAMAN is specifically designed for non-expert users. A strong benefit is to use an integrated version of the different analytic steps underlying a proper metagenomic analysis. The application is freely accessible at http//shaman.pasteur.fr/ , and may also work as a standalone application with a Docker container (aghozlane/shaman), conda and R. The source code is written in R and is available at https//github.com/aghozlane/shaman . Using two different datasets (a mock community sequencing and a published 16S rRNA metagenomic data), we illustrate the strengths of SHAMAN in quickly performing a complete metataxonomic analysis. With SHAMAN, we aim at providing the scientific community with a platform that simplifies reproducible quantitative analysis of metagenomic data. With SHAMAN, we aim at providing the scientific community with a platform that simplifies reproducible quantitative analysis of metagenomic data. Propofol sedation is effective for gastrointestinal endoscopic procedures, but its narrow therapeutic window highlights the importance of identifying an optimal administration technique regarding effectiveness and safety. This study aimed to determine the incidence of significant adverse events in adult patients scheduled for gastrointestinal endoscopy under anaesthetist-performed sedation using propofol target-controlled infusion and determinethe existence of associations between these events and potentially related variables. This single-centre, retrospective cohort study took place in a tertiary referral university hospital. Medical records of 823 patients (age > 18 years, American Society of Anesthesiologists physical status classification scores I-III) who had undergone elective gastrointestinal endoscopy under propofol target-controlled infusion sedation during September 2018 were reviewed. Outcomes included hypoxia, hypotension, and bradycardia events, requirement of vasoactive drugs, unplanned gastrointestinal endoscopic procedures with acceptable rates of adverse events and could be more widely adopted in clinical practice. Propofol sedation using target-controlled infusion appears to be a safe and effective anaesthetic technique for gastrointestinal endoscopic procedures with acceptable rates of adverse events and could be more widely adopted in clinical practice. Atrial fibrillation (AF) is one of the most common arrhythmia, which brings huge burden to the individual and the society. However, the mechanism of AF is not clear. This paper aims at screening the key differentially expressed genes (DEGs) of atrial fibrillation and to construct enrichment analysis and protein-protein interaction (PPI) network analysis for these DEGs. The datasets were collected from the Gene Expression Omnibus database to extract data of left atrial appendage (LAA) RNA of patients with or without AF in GSE79768, GSE31821, GSE115574, GSE14975 and GSE41177. Batch normalization, screening of the differential genes and gene ontology analysis were finished by R software. Reactome analysis was used for pathway analysis. STRING platform was utilized for PPI network analysis. At last, we performed reverse transcr