You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: index.md
+10-3Lines changed: 10 additions & 3 deletions
Original file line number
Diff line number
Diff line change
@@ -3,10 +3,13 @@ layout: lesson
3
3
root: .
4
4
---
5
5
6
-
A lot of genomics analysis is done using command-line tools for three reasons: 1) you will often be working with a large number of files,
7
-
and working through the command-line rather than through a graphical user interface (GUI) allows you to automate repetitive tasks, 2) you
6
+
A lot of genomics analysis is done using command-line tools for three reasons:
7
+
1) you will often be working with a large number of files,
8
+
and working through the command-line rather than through a graphical user interface (GUI) allows you to automate repetitive tasks,
9
+
2) you
8
10
will often need more compute power than is available on your personal computer, and connecting to and interacting with remote computers
9
-
requires a command-line interface, and 3) you will often need to customize your analyses and command-line tools often enable more
11
+
requires a command-line interface, and
12
+
3) you will often need to customize your analyses and command-line tools often enable more
10
13
customization than the corresponding GUI tools (if in fact a GUI tool even exists).
11
14
12
15
In a [previous lesson](http://www.datacarpentry.org/shell-genomics/), you learned how to use the bash shell to interact with your computer through a command line interface. In this
@@ -26,4 +29,8 @@ use a variety of bioinformatic tools with confidence and greatly enhance your re
26
29
>
27
30
> This lesson also assumes some familiarity with biological concepts, including the structure of DNA, nucleotide abbreviations, and the
28
31
> concept of genomic variation within a population.
32
+
>
33
+
> This lesson uses data hosted on an Amazon Machine Instance (AMI). Workshop participants will be given information on how
34
+
> to log-in to the AMI during the workshop. Learners using these materials for self-directed study will need to set up their own
35
+
> AMI. Information on setting up an AMI and accessing the required data is provided on the [Genomics Workshop setup page](http://www.datacarpentry.org/genomics-workshop/setup/).
0 commit comments