We’ve been able to do a lot of work with files that already exist, but what if we want to write our own files? We’re not going to type in a FASTA file, but we’ll see as we go through other tutorials, there are a lot of reasons we’ll want to write a file, or edit an existing file.
To add text to files, we’re going to use a text editor called Nano.
We’re going to create a file to take notes about what we’ve been doing
with the data files in ~/CF_Shell/untrimmed_fastq
.
This is good practice when working in bioinformatics. We can create a
file called README.txt
that describes the data files in the
directory or documents how the files in that directory were generated.
As the name suggests, it’s a file that we or others should read to
understand the information in that directory.
Let’s change our working directory to
~/CF_Shell/untrimmed_fastq
using cd
, then run
nano
to create a file called README.txt
:
$ cd ~/CF_Shell/untrimmed_fastq
$ nano README.txt
You should see something like this:
The text at the bottom of the screen shows the keyboard shortcuts for
performing various tasks in nano
. We will talk more about
how to interpret this information soon.
Which Editor?
When we say, “
nano
is a text editor,” we really do mean “text”:nano
can only work with plain character data, not tables, images, or any other human-friendly media. We usenano
in examples because it is one of the least complex text editors. However, because of this trait,nano
may not be powerful enough or flexible enough for the work you need to do after this workshop. On Unix systems (such as Linux and Mac OS X), many programmers use Emacs or Vim (both of which require more time to learn), or a graphical editor such as Gedit. On Windows, you may wish to use Notepad++. Windows also has a built-in editor callednotepad
that can be run from the command line in the same way asnano
for the purposes of this lesson.No matter what editor you use, you will need to know the default location where it searches for files and where files are saved. If you start an editor from the shell, it will (probably) use your current working directory as its default location. If you use your computer’s start menu, the editor may want to save files in your desktop or documents directory instead. You can change this by navigating to another directory the first time you “Save As…”
Let’s type in a few lines of text. Describe what the files in this
directory are or what you’ve been doing with them. Once we’re happy with
our text, we can press Ctrl-O (press the
Ctrl or Control key and, while holding it down,
press the O key) to write our data to disk. You’ll be asked
what file we want to save this to: press Return to accept the
suggested default of README.txt
.
Once our file is saved, we can use Ctrl-X to
quit the nano
editor and return to the shell.
Control, Ctrl, or ^ Key
The Control key is also called the “Ctrl” key. There are various ways in which using the Control key may be described. For example, you may see an instruction to press the Ctrl key and, while holding it down, press the X key, described as any of:
Control-X
Control+X
Ctrl-X
Ctrl+X
^X
C-x
In
nano
, along the bottom of the screen you’ll see^G Get Help ^O WriteOut
. This means that you can use Ctrl-G to get help and Ctrl-O to save your file.
Now you’ve written a file. You can take a look at it with
less
or cat
, or open it up again and edit it
with nano
.
Open README.txt
and add the date to the top of the file
and save the file.
Use nano README.txt
to open the file. Add today’s date
and then use Ctrl-X followed by y
and
Enter to save.
A really powerful thing that we are now prepared for is writing scripts. Scripts let you save commands to run them, and also lets you put multiple commands together in an organized block. Though writing scripts may require an additional time investment initially, this can save you time as you run them repeatedly. Scripts can also address the challenge of reproducibility: if you need to repeat an analysis, you retain a record of your command history within the script.
One thing we will commonly want to do with sequencing results is pull out bad reads and write them to a file to see if we can figure out what’s going on with them. We’re going to look for reads with long sequences of N’s like we did before, but now we’re going to write a script, so we can run it each time we get new sequences, rather than type the code in by hand each time.
We’re going to create a new file to put this command in. We’ll call
it bad-reads-script.sh
. The sh
isn’t required,
but using that extension tells us that it’s a shell script.
$ nano bad-reads-script.sh
Bad reads have a lot of N’s, so we’re going to look for
NNNNNNNNNN
with grep
. We want the whole FASTQ
record, so we’re also going to get the one line above the sequence and
the two lines below. We also want to look in all the files that end with
.fastq
, so we’re going to use the *
wildcard.
grep -B1 -A2 -h NNNNNNNNNN *.fastq | grep -v '^--' > scripted_bad_reads.txt
Custom
grep
controlWe introduced the
-v
option in the previous episode, now we are using-h
to “Suppress the prefixing of file names on output” according to the documentation shown byman grep
.
Type your grep
command into the file and save it as
before. Be careful that you did not add the $
at the
beginning of the line.
Now comes the neat part. We can run this script. Type:
$ bash bad-reads-script.sh
It will look like nothing happened, but now if you look at
scripted_bad_reads.txt
, you can see that there are now
reads in the file.
Next we’ll edit the script to tell us when it’s done.
Let’s open bad-reads-script.sh
and add the line
echo "Script finished!"
after the grep
command
and save the file.
nano bad-reads-script.sh
Then we’ll run the updated script
$ bash bad-reads-script.sh
Script finished!
We had to type bash
because we needed to tell the
computer to use the bash
program to operate on our
bad-reads-script.sh
file. As another option, we can turn
this script into its own executable program. To do this, we just need to
change the file permissions, and make the script file executable. We
talked about permissions in an
earlier episode.
First, let’s look at the current permissions.
$ ls -l bad-reads-script.sh
-rw-rw-r-- 1 <username> <username> 0 Oct 25 21:46 bad-reads-script.sh
We see that it says -rw-r--r--
. This shows that the file
can be read by any user and written to by the file owner (you). We want
to change these permissions so that the file can be executed as a
program. We use the command chmod
like we did earlier when
we removed write permissions. Here we are adding (+
)
executable permissions (+x
).
$ chmod +x bad-reads-script.sh
Now let’s look at the permissions again.
$ ls -l bad-reads-script.sh
-rwxrwxr-x 1 <username> <username> 0 Oct 25 21:46 bad-reads-script.sh
Now we see that it says -rwxr-xr-x
. The x
’s
that are there now tell us we can run it as a program. So, let’s try it!
We’ll need to put ./
at the beginning so the computer knows
to look here in this directory for the program.
$ ./bad-reads-script.sh
The script should run the same way as before, but now we’ve created our very own computer program!
So far, we’ve worked with data that is pre-loaded on the instance in the cloud. You can imagine, however, that some analyses may begin with moving data onto the instance. Below we’ll show you some commands to download data onto your instance, or to move data between your computer and the cloud.
There are two programs that will download data from a remote server
to your local (or remote) machine: wget
and
curl
. They were designed to do slightly different tasks by
default, so you’ll need to give the programs somewhat different options
to get the same behaviour, but they are mostly interchangeable.
wget
is short for “world wide web get”, and it’s
basic function is to download web pages or data at a web
address.
cURL
is a pun, it is supposed to be read as “see
URL”, so its basic function is to display webpages or data at a
web address.
Which one you need to use mostly depends on your operating system, as many computers will only have one or the other installed by default.
Let’s say you want to download some data from Ensembl. We’re going to
download a very small tab-delimited file that just tells us what data is
available on the Ensembl bacteria server. Before we can start our
download, we need to know whether we’re using curl
or
wget
.
To see which program you have, type:
$ which curl
$ which wget
which
is a BASH program that looks through everything
you have installed, and tells you what folder it is installed to. If it
can’t find the program you asked for, it returns nothing, i.e. gives you
no results.
On Mac OSX, you’ll likely get the following output:
$ which curl
/usr/bin/curl
$ which wget
$
This output means that you have curl
installed, but not
wget
.
Once you know whether you have curl
or
wget
, use one of the following commands to download the
file:
$ cd
$ wget ftp://ftp.ensemblgenomes.org/pub/release-37/bacteria/species_EnsemblBacteria.txt
or
$ cd
$ curl -O ftp://ftp.ensemblgenomes.org/pub/release-37/bacteria/species_EnsemblBacteria.txt
Since we wanted to download the file rather than just view
it, we used wget
without any modifiers. With
curl
however, we had to use the -O flag, which
simultaneously tells curl
to download the page instead of
showing it to us and specifies that it should save the
file using the same name it had on the server:
species_EnsemblBacteria.txt
It’s important to note that both curl
and
wget
download to the computer that the command line belongs
to. So, if you are logged into AWS on the command line and execute the
curl
command above in the AWS terminal, the file will be
downloaded to your AWS machine, not your local one.
What if you need to grab some information from the remote instance? Or what if the data you need is on your local computer, but you need to get it into the cloud? There are also several ways to do this, but it’s always easier to start the transfer locally. This means if you’re typing into a terminal, the terminal should not be logged into your instance, it should be showing your local computer. If you’re using a transfer program, it needs to be installed on your local machine, not your instance.
These directions are platform specific, so please follow the instructions for your system:
Please select the platform you wish to use for the exercises:
scp
to Move Data to/from your Virtual
Machinescp
stands for ‘secure copy protocol’, and is a widely
used UNIX tool for moving files between computers. The simplest way to
use scp
is to run it in your local terminal, and use it to
copy a single file:
scp <file I want to move> <where I want to move it>
Note that you are always running scp
locally, but that
doesn’t mean that you can only move files from your local
computer. In order to move a file from your local computer to an AWS
instance, the command would look like this:
$ scp <local file> <AWS instance>
To move a file from the AWS instance to your local computer, you
re-order the to
and from
fields:
$ scp <AWS instance> <local file>
Let’s download a text file from our remote machine. You should have a file that contains bad reads called ~/CF_Shell/untrimmed_fastq/scripted_bad_reads.txt.
Download the bad scripted_bad_reads.txt
to your local
Downloads directory using the following command (make sure to
use your username in place of <username>
in the
command):
$ scp <username>@bfx-workshop01.med.umich.edu:/home/workshop/<username>/CF_Shell/untrimmed_fastq/scripted_bad_reads.txt ~/Downloads
The process to upload is very similar. You’ll once again use the
scp
command, but just switch the order of arguments to
upload a file (e.g. local_file.txt) to your remote home directory:
$ scp local_file.txt <username>@bfx-workshop01.med.umich.edu:/home/workshop/<username>/
scp
to Move Data to/from your Virtual
MachineIf you’re using a Windows PC, you should likewise be able to use the scp program. It is installed on Windows 10 by default, though you may have to enable it.
C:\User\your-pc-username> cd Downloads
scripted_bad_reads.txt
file from
our AWS instance to our personal computer. You will need to provide
login credentials in order to perform the transfer.Download the text file to your current working directory (represented
by a .) using the following command (make sure you substitute
<username>
for your actual username).
C:\User\your-pc-username\Downloads> scp <username>@:/home/workshop/<username>/CF_Shell/untrimmed_fastq/scripted_bad_reads.txt .
C:\User\your-pc-username\Downloads> scp local_file.txt <username>@bfx-workshop01.med.umich.edu:/home/workshop/<username>/
Remember that in both instances, the command is run from your local machine, we’ve just flipped the order of the to and from parts of the command.