********************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
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********************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"
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golding@mcmaster.ca)