Difference between revisions of "GMOD Online Training 2014"

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*[[WebApollo]] manual gene annotation software
 
*[[WebApollo]] manual gene annotation software
  
The course is taught by experienced instructors and developers with deep knowledge of the tools and their applications.
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The course is taught by experienced instructors and developers with deep knowledge of the tools and their applications. Attendees will be able to chat individually with tutors to ask questions and get assistance with problems.
  
By the end of the course, participants will have hands-on experience of setting up and using core components needed for a modern genomics project.
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By the end of the course, participants will have hands-on experience of setting up and using core components needed for a modern genomics project. We will be awarding [http://www.openbadges.org/ Open Badges] for each session of the course that the attendees successfully complete.
  
Unlike previous [[:Category:GMOD Schools|GMOD schools]], this course will be conducted entirely online. We are currently assessing different software solutions for online lectures and interactions; if you have any experience (good or bad) with such software, please feel free to [mailto:help@gmod.org tell us about it]!
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Applications for the course have now closed. We hope to run another online training course in late 2014 or early 2015.
 
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'''[https://docs.google.com/forms/d/1zpo61f57XAUfOahHXphdpAuD8Y3sBCgcw_iHEOay1zM/viewform Apply now!]'''
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Cost and registration: $50 (to be confirmed)
 
Cost and registration: $50 (to be confirmed)
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===Course Prerequisites===
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The course is taught using virtual servers based in the Amazon Compute Cloud, and participants will require an internet connection, a modern web browser (Chrome, Safari, Firefox, IE 9 or later), and an SSH client (Windows users can download PuTTY; Mac, Linux, and Unix OSs come with an ssh client). Participants will need an Amazon account, which can be set up for free.
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Attendees do not require any previous programming experience to attend the course.
  
 
[[Category:GMOD Schools]]
 
[[Category:GMOD Schools]]

Latest revision as of 16:12, 29 April 2014

Gmod-online-training.png
GMOD in the Cloud toolset
Chado: Biological database schema
Galaxy: Data analysis & integration
GBrowse: Genome annotation viewer
GBrowse_syn: Synteny viewer
JBrowse: Super-fast genome annotation viewer
Tripal: website creation software and Chado interface
MAKER: Genome annotation pipeline
WebApollo: browser-based annotation editor

Monday 19th May - Friday 23rd May 2014


GMOD Online Training offers an introduction to, and training in, the bioinformatics software offered by the Generic Model Organism Database project. Over five days, participants will learn about GMOD's free, open-source tools for visualising, storing, and disseminating genetic and genomic data.

Components covered in the course include:

The course is taught by experienced instructors and developers with deep knowledge of the tools and their applications. Attendees will be able to chat individually with tutors to ask questions and get assistance with problems.

By the end of the course, participants will have hands-on experience of setting up and using core components needed for a modern genomics project. We will be awarding Open Badges for each session of the course that the attendees successfully complete.

Applications for the course have now closed. We hope to run another online training course in late 2014 or early 2015.


Details

Date: Monday 19th May - Friday 23rd May 2014; 9am - 6pm US Eastern time

Application deadline: 28th April 2014

Venue: online only

Cost and registration: $50 (to be confirmed)


Course Prerequisites

The course is taught using virtual servers based in the Amazon Compute Cloud, and participants will require an internet connection, a modern web browser (Chrome, Safari, Firefox, IE 9 or later), and an SSH client (Windows users can download PuTTY; Mac, Linux, and Unix OSs come with an ssh client). Participants will need an Amazon account, which can be set up for free.

Attendees do not require any previous programming experience to attend the course.