********************Jobs******************** Title: Wildlife Disease Genetics Laboratory Manager Location: University of Maine, Orono A laboratory manager position is available in the Wildlife Disease Genetics Laboratory at the University of Maine, under the direction of Dr. Pauline Kamath. The position will be responsible for the daily operation of a specialized molecular and infectious disease laboratory. This will involve overseeing and performing sample preparation, analysis, and assays, as well as provide field and administrative support for several ongoing projects in the research group. The successful candidate will also mentor students in independent research and have the opportunity to lead analyses integrating genetic and ecological data to answer research questions focused in the field of wildlife disease ecology and evolution. Please see a full description of the position, desired qualifications, and application instructions at the following link: https://fa-ewca-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/35/?utm_medium=jobshare Pauline L. Kamath, Ph.D. Associate Professor of Animal Diseases Animal and Veterinary Sciences School of Food & Agriculture 5735 Hitchner Hall, Rm 342 University of Maine Orono, ME 04469-5735 Phone: +1 207-581-2935 Email: pauline.kamath@maine.edu Website: https://umaine.edu/foodandagriculture/kamath2/ Pauline Kamath (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca) ********************WorkshopsCourses******************** Dear all, registrations are open for the 5th edition of the online course on the Analysis of RNAseq data with R/Bioconductor: ( https://www.physalia-courses.org/courses-workshops/course19/ ) This course will provide biologists and bioinformaticians with practical statistical analysis skills to perform rigorous analysis of high-throughput genomic data. The course assumes basic familiarity with genomics and with R programming, but does not assume prior statistical training. It covers the statistical concepts necessary to analyze genomic and transcriptomic high-throughput data generated by next-generation sequencing, including: hypothesis testing, data visualization, genomic region analysis, differential expression analysis, and gene set analysis. The course takes place over 6 days, with each session lasting 3 hours: ** Session 1 - Introduction (Nov 4, 12-3 PM, Berlin time) - Introduction to R / RStudio - Creating high-quality graphics in R ** Session 2 - Hypothesis testing (Nov 6, 12-3 PM, Berlin time) - CDF, p-value, binomial test - types of error, t-test, permutation test ** Session 3 - Introduction to Bioconductor (Nov 8, 12-3 PM, Berlin time) - Introduction to Bioconductor - Working with genomic region data in Bioconductor (GenomicRanges) ** Session 4 - RNA-seq data analysis (Nov 11, 12-3 PM, Berlin time) - Characteristics of RNA-seq data - Storing and analyzing RNA-seq data in Bioconductor (SummarizedExperiment) ** Session 5 - Differential expression analysis (Mon, Nov 13, 12-3 PM, Berlin time) - Multiple hypothesis testing - Performing differential expression analysis with DESeq2 ** Session 6 - Gene set analysis (Wed, Nov 15, 12-3 PM, Berlin time) - A primer on terminology, existing methods & statistical theory - GO/KEGG overrepresentation analysis - Functional class scoring & permutation testing For the full list of our courses and workshops, please visit: ( https://www.physalia-courses.org/courses-workshops/course19/ ) Best regards, Carlo Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 "info@physalia-courses.org" (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)