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Monthly Archives: June 2018
Programming for Evolutionary Biology Conference
We are pleased to announce the fourth Programming for Evolutionary
Biology Conference, which will take place in Buttermere, Lake District,
UK, on September 2-6 (Sunday to Thursday). The conference is organised
by postgraduate students and staff at the Department of Biological and
Geographical Sciences, University of Huddersfield, UK.
Details are available at http://pebconference.info/
Deadline for registration is midnight on 1st July.
The programme includes up to 18 short (15 min) talks and presentations
before lunch and up to 6 computational workshops and tutorials in the
afternoon. We will have pleasure of welcoming two fantastic keynote
speakers: Dr Nicola Nadeau from the University of Sheffield and Dr
Rui Martiniano from the Wellcome Trust Sanger Institute, University of
Cambridge. Confirmed workshops include: using GIS in R, run by Dr Anna
Krystalli from the University of Sheffield, cloud computing, run by
Martin Callaghan from the University of Leeds and parameter selection
in Stacks for the analysis of RAD-seq data, run by Marisa Martin Cerezo
from the University of Huddersfield; with more workshops coming soon
(feedback and suggestions are welcome during the registration process!).
The cost of the conference is £275 including 4 nights’ accommodation
and full board. To register, please fill in the registration form, along
with an abstract and short cover letter regarding your participation in
the conference:
Posted in Uncategorized
UoS course: Introduction to RNA-seq analysis in R
Monday 9th July 09:30 – 17:00
Tuesday 10th July 09:30 – 17:00
Information:- http://sbc.shef.ac.uk/training/rna-seq-in-r-2018-07-09/
In this workshop, you will be learning how to analyse RNA-seq count data, using R. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the edgeR analysis workflow. You will learn how to generate common plots for analysis and visualisation of gene expression data, such as boxplots and heatmaps. You will also be learning how alignment and counting of raw RNA-seq data can be performed in R. This workshop is aimed at biologists interested in learning how to perform differential expression analysis of RNA-seq data when reference genomes are available.
Posted in Uncategorized