Introduction to using BioVeL workflows for taxonomic refinement, biogeographic analysis, and species distribution modelling

Location:
Cardiff University, UK
Starts:
Tuesday 26 November 2013,
Ends:
Sunday 24 November 2013,

Full details of the workshop can be found here

Target community & qualifications 

This workshop is designed for scientists with a solid background in any of the relevant areas in biodiversity research, e.g. taxonomy, ecology, environmental sciences, genetics, population genetics, species distribution and population modelling, bioinformatics, phylogenetics, etc. It is desirable that the attendees are working or planning to work with taxonomic revisions, biodiversity inventories, ecological assessments, descriptive studies, conservation projects, or analyses for the management of natural protected areas.

Format

The course is a two-day hands-on training event. 10-15 researchers will be admitted. The program consists of introductory lectures, practical computer work, and discussions.

 

After a short individual presentation, Day 1 will be dedicated to the preparation of data using BioVeL Data Refinement Workflow. The morning will focus on a general demonstration of the tool and exercise with a provided data set. In the afternoon, participants will work with their own data set and/or data from public sources. 

 

In Day 2 we will demonstrate the Ecological Niche modelling workflows, ask participants to practice with a provided data set. Then participants will run the workflows with their data prepared during day 1, addressing the scientific issues of their research interests.

Participation

To participate in the workshop, an application is required, and includes the following information:

 

Short CV/biography

10 line explaning your scientific project objectives

Short description of the data you want to analyse, indication their origin (personal collection and/or public repositories)

Registration is available here.
 

Application deadline: 18 October, 2013 

Notice of Admittance: 25 October, 2013

 

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