We have less than a week to go before the Genomic data science with the
Galaxy workbench <https://galaxyproject.org/events/2019-sacnas>
pre-conference workshop at SACNAS. The workshop will be held Wednesday,
October 30, 9am- 6pm in room 318AB at the Hawai’l Convention Center.
Breaks (but not lunch - sorry, we could not afford it) will be provided.
Here’s what you need to know for next Wednesday.
The workshop will be hands-on! Please bring a fully charged,* wifi-enabled
laptop with Firefox or Chrome already installed on it.
This workshop is full, but people still want to attend. Please let us know
as soon as possible if you can no longer make it.
We Switched Examples
We have switched our example analysis to differential gene expression (DGE).
DGE is about figuring out what genes are turned on when. We had originally
proposed using a genome wide association study (GWAS) as the example
problem. GWAS was new to us, and after having explored that space we have
decided that GWAS is not yet ready for a workshop.
Don’t worry if none of the details above mean anything to you. We need
a sample problem to work on and we have switched to a better one.
However, if you are keen to learn more about GWAS, we would be happy to
discuss it with you over breaks and during the rest of SACNAS.
We have set up two channels for communication.
1. This mailing list. We’ll use it to send out information that needs to
go to everyone.
2. A workshop chat channel on Gitter.im:
https://gitter.im/galaxyproject/SACNAS-2019. Please use this for chat.
We’ll use this for communication (for example, links) during the workshop,
and for any discussion that doesn’t need to go to everyone, right now.
You are already a member of the mailing list. And you can already see
everything posted on chat. However, if you want to post something to chat,
you will need to login to Gitter with either your GitHub**, GitLab, or
Please let us know if you have any questions, and we will see you on
Gitter, and in Honolulu next week,
Mo H and Dave C
* We aren’t sure of the power situation yet.
** Why you should be on GitHub (or GitLab)!
If you don’t already have a GitHub <https://github.com/> (or GitLab)
account then we strongly recommend getting one. Data science happens with
Git <https://git-scm.com/>, and GitHub is the most popular platform for
using Git. You won’t need to understand Git to understand this workshop.
*** Why you should be on Twitter
We can’t speak to disciplines outside of life sciences, but for life
sciences these two quotes reflect the importance of Twitter in these fields:
Twitter is one of the most important bioinformatics tools you can use.
Jason Williams <https://www.dnalc.org/about/staff/williams.html>, CSHL &
Twitter is the world's largest lab meeting.
Someone at PAG <https://www.intlpag.org/>, several years ago