An Introduction to UNIX for Cloud Computing December 8, 2021
When: Wednesday, December 8th from 10:00 am-12:00 pm PDT
Instructors: Dr. Rayna Harris
Helpers: Dr. Saranya Canchi and Jeremy Walter
Zoom: https://zoom.us/j/7575820324?pwd=d2UyMEhYZGNiV3kyUFpUL1EwQmthQT09
Slides: https://osf.io/dw3he/
Computing environment:
Cheatsheet: https://training.nih-cfde.org/en/latest/General-Tools/Cheat-Sheets/bash_cheatsheet/
This free 2-hour workshop introduces the UNIX command line. It was designed for scientists and clinicians who need to use cloud-based and remote computers for basic and biomedical research.
- Understand basic UNIX command structure
- Navigate through hierarchical directory structures
- Read, write, create, copy, move, and remove files
- Understand wildcard expression
- Combine commands into workflows
The lesson materials were adapted from the UC Davis Data Lab's Intro to Cloud Computing workshop, Data Carpentry's Introduction to the Command Line for Genomics lesson, and the Lab for Data Intensive Biology's Advanced Beginner/Intermediate Shell workshop. Today's workshop is designed to prepare you for taking subsequent cloud computing and bioinformatic workshops.
While we wait to get started --
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✔️ Have you looked at the pre-workshop resources page?
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📝 Please fill out our pre-workshop survey if you have not already done so: Click here!
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✋ Raise your hand on Zoom when you've completed the pre-workshop survey.
The shell is a computer program that uses a command line interface (CLI) to give commands made by your keyboard to your operating system. Most people are used to interacting with a graphic user interface (GUI), where you can use a combination of your mouse and keyboard to carry out commands on your computer.
We can use the shell through a terminal program. From the terminal. We can open programs, run analyses, create documents, delete files and create folders.
For this remote workshop, we will be using a custom created create custom computing environment using Binder. Click the launch binder button below, wait for it to launch, then open a new terminal window by clicking Terminal.
After the server launches and you select terminal, you should see an RStudio environment and the UNIX prompt $.
React with a ✔️ when you have a terminal window open. React with a ❎ if you have issues opening a terminal.
When you open up the terminal in Binder, you may see a line of text or a prompt statement that tells us useful things such as the name of the directory we are currently in, our username, or what computer we are currently running terminal on. Let your instructors know if you see any warning or error messages.
- A shell is a program that reads commands and runs programs.
- We are using a remote terminal provided by myBinder.org
UNIX commands are like sentences that can be very simple or complex. The simplest commands consist of only the command name. Many require the name of a file or directory and allow specially formatted arguments, known as flags or options, which modify the default behavior of the program. The grammar of a shell allows you to combine existing tools into powerful pipelines and handle large volumes of data automatically. Sequences of commands can be written into a script, improving the reproducibility of workflows. The ease of getting things done via the shell will increase with your exposure to the program.
We should note that folders are called directories at the command line. For all intents and purposes, they can be used interchangeably, but if you'd like more information please read about "the folder metaphor".
This Binder comes preloaded with data provided by your instructors. If you want to do these exercises locally, on your own computer, you can download the data here.
For today's lesson, we will focus on three different sets of data. books contains ebooks such as A Tale of Two Cities and The Wizard of Oz.southpark contains a compressed csv file containing all the lines spoken by each character across 14 seasons. seattle contains data from the Open Seattle Data Portal, including a csv file with names of pets. The MiSeq directory contains FASTQ and FASTA files that are commonly used in next-generation sequencing experiments. These data are useful for practicing commonly used UNIX commands to explore genome-scale data.
The commands pwd and ls are two simple commands that can be used to answer the two commonly asked questions "where am I?" and "what files are here?". We will use these frequently through the next sections.
To answer the question "where am I?", we can use the print working directory or pwd command to see what directory we are currently located in.
pwd
This will print absolute path to the directory where we are located. An absolute path shows the complete series of directories you need to locate either a directory or a file starting from the root directory of your computer. The absolute path to the root directory is /. A useful way to start thinking about directories and files is through levels. At the highest level of your computer, you have the root directory. Everything that is contained in your computer is located in directories below your root directory.
The home directory is typically two levels down. For many mac users, the home directory is /Users/USERNAME. If you are using the Binder provided for this workshop, the home directory is /home/jovyan. Because the absolute path to the home directory is different for every user, you can refer to the home directory with the tilde symbol ~.
/home/jovyan
Who or what is Jovyan? According to Project Juypter the word “Jovian” describes several planets that share Jupiter-like properties. Much like the planet Jupiter and our solar system, the Jupyter community is large, distributed, and nebulous, so the word "Jovyan" is used to describe members of the community. Thus, the name of the User for this remote computer is "jovan".
This list or ls command is a simple yet powerful command that is used to list the contents of your computer. It can be executed with or without optional flags and directories or files. Let's look at the contents in our working directory by using the ls.
ls
We can see the following files:
binder books images MiSeq README.md seattle southpark
If we want more information about the files, such as the date they were created and their file size, we can add "flags" -l for long listing format.
Flags (sometimes called options) allow us to finely control the behavior of the command. But how did we know to add -l after ls? The ls manual describes the command and all its options in the details. Like most commands, you can type the command followed --help to view the manual in your terminal.
ls --help
You can use multiple flags or options at the same time to modify the behavior of a command. What does the command ls do when used with:
- the
-hoption? - the
-land the-hoption? - the
-l, the-h, and the-Foption?
- The
-hoption makes the file size human readable, but is only noticeable if you are printing the file size. - If you use both the
-hoption and the-loption (withls -lhorls -l -h), this makes the file size ‘human readable’, i.e. displaying something like 5.3K instead of 5369. - The -F flag will class the file types by appending an identifier. This works best if there are directories present.
Now we have seen how to list around our computers and what is located in the directory we are. But some of the beauty of the shell is that we can execute activities in locations that we are not currently in. To do this we can either use an absolute path or a relative path. A relative path is the path to another directory from the one you are currently in.
To move from one directory to the other, we use the cd command to change directories.
Let's navigate into the books using the cd command followed by
cd books
Now, we can use the pwd and/or ls commands to confirm that we did indeed change directories.
pwd
ls
Because you can change directories using either the relative or absolute path, there are multiple ways to successfully move up or down in the directory hierarchy.
Let's return to our home directory using the cd command and a relative path, then print the working directory to confirm.
Starting from books, which of the following commands could Jovyan use to navigate to the MiSeq directory?
cd MiSeqcd ./MiSeqcd ~/MiSeqcd ../MiSeqcd /MiSeqcd ../../Miseqcd /home/jovyan/MiSeq
Answer
- No, MiSeq does not exist in the current working directory.
- No, MiSeq does not exist in the current working directory.
- Yes, MiSeq is in the home directory.
- Yes, MiSeq is in the directory one level above.
- No, MiSeq is not in the root directory.
- No, MiSeq is not in the directory two levels above.
- Yes, this is the full path to MiSeq.
Let's practice using the cd and ls commands to explore files in different directories.
What files are in the books directory?
ls books
cd ~/books
ls
We can see the following files:
A-tale-of-two-cities.txt TheWonderfulWizardOfOz.txt.gz
Alice_in_wonderland.txt book.txt
PeterPan.txt get_books.sh
README.md
How large are all the files in the southparkdata directory?
cd ~/southpark
ls -l
We will see the following:
-rw-r--r-- 1 jovyan jovyan 1866609 Aug 4 04:34 All-seasons.csv.gz
-rw-r--r-- 1 jovyan jovyan 252 Aug 4 04:34 License.md
-rw-r--r-- 1 jovyan jovyan 345 Aug 4 04:34 README.md
How large are all the .fastq files?
cd ~/MiSeq
ls *fastq
| Command | Description |
|---|---|
pwd |
print name of current/working directory |
ls [options] |
list directory contents |
cd [path] |
change the working directory |
| Path | Description |
|---|---|
/ |
root directory |
~/ |
home directory |
./ |
current or working directory |
../ |
directory one level up |
Now that we know what files exist on our computer, it's time to look at the contents of the file. There are multiple ways to look at the contents of a file.
The cat command prints the entirety of a file to the stdout of our computer. We can scroll through files using the less command. Less is a safe way of looking at the contents of a file without the ability to change it. head prints, by default the first 10 lines of a file.
All three of the commands use the same syntax:
head [filename]
cat [filename]
less [filename]
You can use TAB to do filename completion, so if you type cat R and then press your Tab key once, it will autocomplete if there is a unique match. If there is more than one match, the first Tab will do nothing, and the second will show all the possible matches.
Let's navigate to the books directory and use the head command to view the README.md file.
cd ~/books/
head README.md
You should see an output that looks like this. The README.md and License.md files are written in Markdown. To learn more about Markdown syntax, read this excellent Markdown guide.
# Tale of Two Cities
downloaded from [Project Gutenberg](https://www.gutenberg.org/ebooks/98)
Now we can view the file with head, cat, or less and tail.
head book.txt
tail book.txt
cat book.txt
less book.txt
We can there are a lot more books, and we can look at the first few lines of all the txt files with the *.
head *.txt
Notice, there is one book that is compressed. We can uncompress it with the command gunzip.
gunzip TheWonderfulWizardofOz.txt.gz
| Command [OPTION] | Description |
|---|---|
head [filename] |
print first 10 lines of FILENAME
|
cat [filename] |
print FILENAME's contents to stdout |
less [filename] |
view FILENAME without printing to stdout |
| gunzip -k [filename] | uncompress a file and keep the original |
We are quite used to copying and moving files using a GUI. These functions can be also carried out at the command line.
The cp and mv commands can be used to copy and move (or rename) files and directories respectively. For both commands, you must specify the old and new names. Specifying the path is necessary if you want to move files out of the current working directory.
cp [original-filename] [copy-filename]
mv [original-filename] [new-filename]
Let's make a copy of some raw data before we start modifying it.
cp book.txt book-copy.txt
ls
The mv command can be used to either move files to a new location or to rename them (which is essentially moving the contents from the old filename to the new file name. Let's use the mv command to rename the copied and compressed file back to the original name.
mv book-copy.txt book-2cities.txt
Take care when renaming files. It is good practice to keep track of changes in file names and links to the source data. The commands used to get these books are stored in get_books.sh. We will talk about how to execute this script later.
head get_books.sh
Now you know how to copy and move files, but you may encounter errors if you try to move files to a directory that doesn't exist. But, have no fear, we can create new directories at the command line with the command mkdir followed by the path to the directories you want to create.
What happens when you run the following commands?
1. mkdir data results images/
2. mkdir -p data/results/images
Answer
- data, results, and images all created in the working directory. 2. images is a subdirectory of results, which is a subdirectory of data
Now, imagine you could create the perfect directory hierarchy for a project. What would it look like? Type a command or series of commands to create your ideal directory structure. Share with your group.
An example project directory could be setup like this:
mkdir awesome/
cd awesome/
mkdir -p data/ results/2020/ results/2021 images/ notes/
ls *
If you created some files or directories that you don't want, you can remove them with the rm and rmdir commands. How could you remove data/results/
Solutions
rmdir data/results/images
rmdir data/results
or
rm -r data/results
| Command | Description |
|---|---|
| cp [old] [new] | copies a file |
| mv [old] [new] | moves or renames a file or directory |
| rm [path] | removes (deletes) a file |
| mkdir [path] | creates a new directory |
| rmdir [path] | removees an empty directory |
A big part of data science is making sure what you expect in a particular file is what you have in that file. This is fairly easy when your files are small but is challenging when the files are much larger than your screen.
To explore this topic in more detail, navigate to the data/MiSeq/ directory.
cd ~/MiSeq
ls
This directory contains multiple FASTQ files. A FASTQ file normally uses four lines per sequence.
- Line 1 begins with a '@' character and is followed by a sequence identifier and an optional description (like a FASTA title line).
- Line 2 is the raw sequence letters.
- Line 3 begins with a '+' character and is optionally followed by the same sequence identifier (and any description) again.
- Line 4 encodes the quality values for the sequence in Line 2, and must contain the same number of symbols as letters in the sequence.
A FASTQ file containing a single sequence might look like this:
An example FASTQ file
@SEQ_ID
GATTTGGGGTTCAAAGCAGTATCGATCAAATAGTAAATCCATTTGTTCAACTCACAGTTT
+
!''*((((***+))%%%++)(%%%%).1***-+*''))**55CCF>>>>>>CCCCCCC65
We can use the cat command to print fastq files to the screen, but thousands of lines of text would crowd your screen. Instead, let's use the head command to view the first 8 lines file. You can copy the file name and paste it into the console or you can type and use tab complete to pick a particular file.
head -n 4 F3D0_S188_L001_R1_001.fastq
@M00967:43:000000000-A3JHG:1:1101:18327:1699 1:N:0:188
NACGGAGGATGCGAGCGTTATCCGGATTTATTGGGTTTAAAGGGTGCGTAGGCGGCCTGCCAAGTCAGCGGTAAAATTGCGGGGCTCAACCCCGTACAGCCGTTGAAACTGCCGGGCTCGAGTGGGCGAGAAGTATGCGGAATGCGTGGTGTAGCGGTGAAATGCATAGATATCACGCAGAACCCCGATTGCGAAGGCAGCATACCGGCGCCCTACTGACGCTGAGGCACGAAAGTGCGGGGATCAAACAG
+
AABABBFFFGGGGGGGGGGGGGGGGHHHHHHHGGGHHHHHGHGGGGGGGHGGGGGGHHHHHHHHHHGGGGGHHHHGHGGGGGGHHBGHGDGGGGGHHHGGGGHHHHHHHHGGGGGHG@DHHGHEGGGGGGBFGGEGGGGGGGG.DFEFFFFFFFDCFFFFFFFFFFFFFFFFFFFFFFFFFFDFDFFFEFFCFF?FDFFFFFFFFAFFFFFFFFFFFBDDFFFFFEFADFFFFFBAFFFA?EFFFBFF
@M00967:43:000000000-A3JHG:1:1101:14069:1827 1:N:0:188
TACGGAGGATGCGAGCGTTATCCGGATTTATTGGGTTTAAAGGGTGCGTAGGCGGCCTGCCAAGTCAGCGGTAAAATTGCGGGGCTCAACCCCGTACAGCCGTTGAAACTGCCGGGCTCGAGTGGGCGAGAAGTATGCGGAATGCGTGGTGTAGCGGTGAAATGCATAGATATCACGCAGAACCCCGATTGCGAAGGCAGCATACCGGCGCCCTACTGACGCTGAGGCACGAAAGTGCGGGGATCAAACAG
+
3AA?ABBDBFFBEGGEGGGGAFFGGGGGHHHCGGGGGGHFGHGGCFDEFGGGHGGGEGF1GGFGHHHHHGGEGGHHHHHFGGGGGGHHHHHGGGGCDDGHHGGGFHHHHHHHHCD@CCHGGGGHEHGGG@GFGGGGGGG@BGGGEGCEBFFFBFFB;9@EFFFEFFFFFFFFFFFFAFBBBFFFFFBBBFFFFBBBFFFFFFFFFFFBBBBBBBFFFFFFFFFDDFAFFFFF.AF9/FBBBBB.EAFFE?F
head prints the first ten lines of a file out onto your screen. Similarly, the tail command prints the last 10 lines of a file.
tail -4 F3D0_S188_L001_R1_001.fastq
@M00967:43:000000000-A3JHG:1:1105:19125:28016 1:N:0:188
TACGTAGGGGGCAAGCGTTATCCGGAATTACTGGGTGTAAAGGGAGCGTAGACGGTAATGCAAGTCTGGAGTGAAAGGCGGGGGCCCAACCCCCGGACTGCTCTGGAAACTGTGTAACTGGAGTGCAGGAGAGGCAGGCGGAATTCCTAGTGTAGCGGTGAAATGCGTAGATATTAGGAGGAACACCAGTGGCGAAGGCGGCCTGCTGGACTGTAACTGACGTTGAGGCTCGAAAGCGGGGGGGGCAAAAA
+
>AAAAFFBBBBDGFGGGEGFGGAEEEGGHHGHHHHFFEHHHHGGHGGGGFGGHGGGEGHHGHHHHHHHHGHGHFFHHHHGGGGG@DGDGDGGGGGGDDGHHHHGHHCFHGHHHH0GGFFHHHGFFEFGGGGGGGGGG@.BB-@EF/BFFF9//9FF;B.;.:F//9A.;9.9;B/////BFDB9FF.AAB/:?B-;-99@B-9;EA/;B99BE99B///B:9.;:9F..;9=-FD.9A-;@BB----?F..
@M00967:43:000000000-A3JHG:1:1105:20429:28046 1:N:0:188
TACGGAGGATTCAAGCGTTATCCGGATTTATTGGGTTTAAAGGGTGCGTAGGCGGTTCGATAAGTTAGAGGTGAAATCCCGGGGCTCAACTCCGGCACTGCCTCTGATACTGTCGGGCTAGAGTTTAGTTGCGGTAGGCGGAATGTATGGTGTAGCGGTGAAATGCATAGAGATCATACAGAACACCGATTGCGAAGGCAGCTTACCAAACTACGACTGACGTTGAGGCACGAAAGCGTGGGGAGCAAACA
+
BBBBBBBBBFFFGGGFFGGGGGGGGGGGHHHHHHHGGGHGHHHGHGGGGGGGHGGEGGFGGHGHHHHHHHHHGHHHHEHHGGGGGGHHHHHHHGGGGGHHHGFHHHHGGHHHHHGGGGGHFGH?GHHGHHHHGG<CDFHGGGGGHCFGHHHHEHFHCGCGEFFGGGGGGEGGEFGGGFFFFGGG/FDCFFFFFADFFFFFDFFFFFFFFFABFFFFF?DFFFE.EEFFFEFFFFAAFADFFFFECDEFB..
FASTQ files should not be confused with FASTA files. FASTQ files contain information about the quality of the sequence, but FASTA files only contain the sequence and an identifier.
An Example FASTA file
> SEQUENCE_1
MTEITAAMVKELRESTGAGMMDCKNALSETNGDFDKAVQLLREKGLGKAAKKADRLAAEG
LVSVKVSDDFTIAAMRPSYLSYEDLDMTFVENEYKALVAELEKENEERRRLKDPNKPEHK
IPQFASRKQLSDAILKEAEEKIKEELKAQGKPEKIWDNIIPGKMNSFIADNSQLDSKLTL
MGQFYVMDDKKTVEQVIAEKEKEFGGKIKIVEFICFEVGEGLEKKTEDFAAEVAAQL
>SEQUENCE_2
SATVSEINSETDFVAKNDQFIALTKDTTAHIQSNSLQSVEELHSSTINGVKFEEYLKSQI
ATIGENLVVRRFATLKAGANGVVNGYIHTNGRVGVVIAAACDSAEVASKSRDLLRQICMH
Let's look at a synthetic FASTA file.
head -4 HMP_MOCK.v35.fasta
> A.baumannii.1
TGGGGAATATTGGACAATGGGGGGAACCCTGATCCAGCCATGCCGCGTGTGTGAAGAAGGCCTTATGGTTGTAAAGCACTTTAAGCGAGGAGGAGGCTACTTTAGTTAATACCTAGAGATAGTGGACGTTACTCGCAGAATAAGCACCGGCTAACTCTGTGCCAGCAGCCGCGGTAATACAGAGGGTGCGAGCGTTAATCGGATTTACTGGGCGTAAAGCGTGCGTAGGCGGCTTATTAAGTCGGATGTGAAATCCCCGAGCTTAACTTGGGAATTGCATTCGATACTGGTGAGCTAGAGTATGGGAGAGGATGGTAGAATTCCAGGTGTAGCGGTGAAATGCGTAGAGATCTGGAGGAATACCGATGGCGAAGGCAGCCATCTGGCCTAATACTGACGCTGAGGTACGAAAGCATGGGGAGCAAACAGGATTAGATACCCTGGTAGTCCATGCCGTAAACGATGTCTACTAGCCGTTGGGGCCTTTGAGGCTTTAGTGGCGCAGCTAACGCGATAAGTAGACCGCCTGGGGAGTACGGTC
> A.odontolyticus.1
TGGGGAATATTGCACAATGGGCGAAAGCCTGATGCAGCGACGCCGCGTGAGGGATGGAGGCCTTCGGGTTGTAAACCTCTTTCGCTCATGGTCAAGCCGCAACTCAAGGTTGTGGTGAGGGTAGTGGGTAAAGAAGCGCCGGCTAACTACGTGCCAGCAGCCGCGGTAATACGTAGGGCGCGAGCGTTGTCCGGAATTATTGGGCGTAAAGGGCTTGTAGGCGGTTGGTCGCGTCTGCCGTGAAATCCTCTGGCTTAACTGGGGGCGTGCGGTGGGTACGGGCTGACTTGAGTGCGGTAGGGGAGACTGGAACTCCTGGTGTAGCGGTGGAATGCGCAGATATCAGGAAGAACACCGGTGGCGAAGGCGGGTCTCTGGGCCGTTACTGACGCTGAGGAGCGAAAGCGTGGGGAGCGAACAGGATTAGATACCCTGGTAGTCCACGCTGTAAACGTTGGGCACTAGGTGTGGGGGCCACCCGTGGTTTCTGCGCCGTAGCTAACGCTTTAAGTGCCCCGCCTGGGGAGTACGGCC
FASTQ and FASTA files are often used in combination to map reads to a genome or transcription. You've seen three ways to read large files. Next, we will learn how to use and manipulate the files.
Sometimes you know a file or directory exists, but you can't find it. Sometimes you want to find many files with similar properties. This is where the wildcard (*) comes in handy. What do the following commands do?
ls *ls MiSeq/F3D*ls MiSeq/*fasta
Answer
-
ls *lists files in the working directory and 1 level down. -
ls MiSeq/F3D*lists files in the data/MiSeq directory that start with "F3D". -
ls MiSeq/*fastalists files in the data/MiSeq directory that end with "fasta".
A lot of the time we want to know if a file contains what we expect. A useful thing to do is to be able to search the contents of files for a particular string of characters you would like to find. We can use the file pattern searcher grep to find things.
The MiSeq/ directory contains many of the sequence files ending in.fastq. We expect these files to contain information in a particular format throughout the file with four lines of information for each sequence string. Looking through a million line file using less will take a long time. Rather than manually looking at the whole file, we can print only a portion of the file's contents to standard output.
Let's say you'd like to find the sequence CATTAG in your MiSeq files. We can also use the wildcard regular expression to search CATTAG in all of the fastq files located in our current working directory:
cd ../data/MiSeq/
grep CATTAG F3D0_S188_L001_R2_001.fastq
grep CATTAG *.fastq
What line does CATTAG occur on in F3D141_S207_L001_R1_001.fastq?
Hint
Use grep --help to search for grep options related to line number.
`grep -n [filename]`` will print the line number.
How many lines are in the file total? The word count (wc) command will give us that answer.
wc F3D0_S188_L001_R2_001.fastq
By default, wc prints the characters, words, and lines in a file. To extract just the line numbers, we use wc -l. We will use this more later.
wc -l F3D0_S188_L001_R2_001.fastq
| Command | Description |
|---|---|
find [filename] |
finds files with specific properties that match patterns |
grep [option] [filename] |
selects lines in files that match patterns |
wc [filename] |
will print the total characters, words, and lines in a file. |
By default, many UNIX commands like cat send output to something called
standard out, or "stdout". This is a catch-all phrase for "the basic
place we send regular output." (There's also standard error, or "stderr",
which is where errors are printed; and standard input, or "stdin", which
is where input comes from.)
Much of the power of the UNIX command line comes from working with
stdout output, and if you work with UNIX a lot, you'll see characters
like the > (redirect), >> (append), and | (pipe). These
are commands that say, respectively, "redirect the stdout to a new
file", "append stdout to an existing file", and "pipe the stdout from one
program to another program's stdin."
If you know you want to save an output file, you can use the redirect symbol >. Note, if you want to save a file in a different directory, that directory must exist.
mkdir results
grep CATTAG *.fastq > results/files-with-CATTAG.txt
Let's pipe (|) the output of a grep search to the command head to only show the first 10 lines. This is very handy when you only want to view snapshot of the data.
grep CATTAG *.fastq
grep CATTAG *.fastq | wc -l
The pipe is a useful way to combine multiple commands on line line into a pipe.
However, the two lines above told us, how many times CATTAG appeared in all of the .fastq files in total. If we want to know who many times it occurs in each, we need a for loop.
A for loop looks like this
for [thing] in [list of things]
do
command $[thing]
done
We could use this with grep on our fastq files like so.
grep CATTAG *.fastq
for file in *fastq
do
grep CATTAG $file | wc -l
done
If we cant to know which file these results came from, we can add an echo statement to echo the variable.
for file in *fastq
do
echo $file
grep CATTAG $file | wc -l
done
When working with csv files, sometimes you only want to look for patterns in 1 column versus all the columns. So, you need to filter the data first to only have the column of interest.
Notice, if you search for characters' names in the South Park TV series, grep will return both instances where the character spoke a line and where the line mentions their name.
cd ~/SouthParkData
gunzip -k All-seasons.csv
grep Kenny All-seasons.csv
Let's say you want to know which of your Southpark characters had the most spoken lines. You could do like by counting how often their name appeared in the 3rd column of the csv file. We need the command cut. We use the -f3 to specify the third column and -d, to specify that it is a csv.
head All-seasons.csv
cut -d, -f3 All-seasons.csv
Now, after we extract only the column with character names, we can search for our favorite characters and count how many spoken lines they had.
cut -d, -f3 All-seasons.csv | grep Kenny | wc -l
If we want to do this on more than 1 character, we can use a for loop.
for character in Kenny Cartman Chef Kyle
do
echo $character
cut -d, -f3 All-seasons.csv | grep $character | wc -l
done
| Command | Description |
|---|---|
| |
pipes the standard output to a new command |
> |
redirects the standard output to a new file |
>> |
append the standard output to a new or existing file |
This lesson focused on file and directory exploration because that's something everyone needs to know, and all these commands will work on pretty much any computer that is running a UNIX compatible shell (including Mac OS X and Windows Subsystem for Linux).
We've shown you a whole plethora of hopefully not-too-confusing options for editing and working with text files.
The redirection and compression stuff is really useful, but again, you just need to know it exists and that there's this tutorial on it.
These skills may seem confusing, but they will become second nature if you use them regularly.
If you want to save all the commands we used today, you can use the history command to print out all the commands you typed.
history
You can save the file in your home directory with:
history > ~/history.txt
The binder and this documentation page will stay working for the foreseeable future, so please feel free to come back and revisit some of these commands!
Google (and especially stackoverflow) is your friend! Use Internet search whenever you have questions about what a command does, or what commands to use to achieve a particular task. The website Explain Shell is great for defining what each command and flag does.
This workshop teaches a dozen commonly used UNIX commands that can be combined to perform power, reproducible bioinformatic workflows. The commands taught pwd ls cd cat head less cp mv rm mkdir grep wc cut gunzip and gzip (and probably a few others).
clear
pwd
PS1="\w $ "
ls
ls --help
ls -l books
ls -l MiSeq
ls -lh MiSeq
ls -lh *
cd books
pwd
ls
cd ../Miseq
pwd
ls
ls *fastq
ls F3*
cd ~books
head README.md
head book.txt
tail book.txt
cat book.txt
less book.txt
head *txt
wc -l *txt
wc -l *txt | sort
wc -l *txt | sort -nr
gunzip TheWonderfulWizardofOz.txt
wc -l *txt | sort -nr
rm book.txt
mkdir results
wc -l *txt | sort -nr > results/book_lengths.txt
cat results/book_lengths.txt
grep "Chapter" *txt
grep -i "Chapter" *txt
grep "CHAPTER" *txt > results/chapter_titles.txt
cat results/chapter_titles.txt
grep "The" *txt
grep "^The" *txt
grep -w "^The" *txt
grep -w -A 1 "^The" *txt
grep -w "^The" *txt > results/The.txt
cat results/The.txt
head README.md
head -4 F3D0_S188_L001_R1_001.fastq
tail -4 F3D0_S188_L001_R1_001.fastq
less F3D0_S188_L001_R1_001.fastq
wc README.md
wc F3D0_S188_L001_R1_001.fastq
wc -l F3D0_S188_L001_R1_001.fastq
wc -l *fastq
wc -l *R1*fastq
wc -l *R1*fastq | sort -nr
head -4 F3D0_S188_L001_R1_001.fastq
grep "^@M" F3D0_S188_L001_R1_001.fastq
grep "^@M" F3D0_S188_L001_R1_001.fastq | wc -l
grep "^@M" *R1*.fastq | wc -l
for file in *R1*.fastq
do
echo $file
grep "^@M" $file | wc -l
done
mkdir results
for file in *R1*.fastq
do
echo $file >> results/read_count.txt
grep "^@M" $file | wc -l >> results/read_count.txt
done
head results/read_count.txt
for file in *R1*.fastq
do
echo $file >> results/samples.csv
grep "^@M" $file | wc -l >> results/count.csv
paste -d , results/samples.csv results/count.csv > results/read_count.csv
done
head results/read_count.csv
cd
history
history > notes_dec_7.txt