Jwoodlee Week 3
Contents
Electronic Lab Notebook
ssh into my.cs.lmu.edu using your username, and enter your password.
Complement of a Strand: locate the file in ~dondi/xmlpipedb/data, and enter the following command: cat prokaryote.txt | sed “y/actg/tgac”, this will yield prokaryote.txt’s complementary DNA strand.
Reading Frames:
These sets of commands are more complicated than Complement of a Strand. This is essentially what I had to accomplish:
take sequence file, replace the t’s with u’s, break up the sequence into groups of 3, use genetic-code.sed as the translation “chart”, and then eliminate extra nucleotides if there are any. For the different reading frames I will just delete the first one or two nucleotides
After lots of googling I came up with this basic outline in terminal:
cat prokaryote.txt | sed "s/t/u/g" | sed "s/.../& /g" |sed -f genetic-code.sed | sed "s/[aucg]//g”
for different reading frames you only have to insert sed “s/^.//g” after prokaryote .txt, and of course in order to use a different DNA sequence prokaryote.txt would be different. The following commands will be written exactly and should return the correct output.
+1 cat prokaryote.txt | sed "s/t/u/g" | sed "s/.../& /g" | sed -f genetic-code.sed | sed "s/[acug]//g”
+2 cat prokaryote.txt | sed “s/^.//g” | sed "s/t/u/g" |sed "s/.../& /g" | sed -f genetic-code.sed | sed "s/[acug]//g"
+3 cat prokaryote.txt | sed “s/^..//g” | sed "s/t/u/g" | sed "s/.../& /g" | sed -f genetic-code.sed | sed "s/[acug]//g"
Complement of a Strand
Write a sequence of piped text processing commands that, when given a nucleotide sequence, returns its complementary strand. In other words, fill in the question marks:
cat sequence_file | ?????
For example, if sequence_file contains:
agcggtatac
Then your text processing commands should display:
tcgccatatg
Reading Frames
Write 6 sets of text processing commands that, when given a nucleotide sequence, returns the resulting amino acid sequence, one for each possible reading frame for the nucleotide sequence. In other words, fill in the question marks:
cat sequence_file | ?????
You should have 6 different sets of commands, one for each possible reading frame. For example, if sequence_file contains:
agcggtatac
Then your text processing commands for 5’-3’ frame 1 should display:
SGI
Your text processing commands for 5’-3’ frame 3 should display:
RY
...and so on.
- Hint 1: The 6 sets of commands are very similar to each other.
- Hint 2: Under the ~dondi/xmlpipedb/data directory in the Keck lab, you will find a file called genetic-code.sed. To save you some typing, this file has already been prepared with the correct sequence of sed commands for converting any base triplets into the corresponding amino acid. For example, this line in that file:
s/ugc/C/g
...corresponds to a uracil-guanine-cytosine sequence transcribing to the cysteine amino acid (C). The trick is to figure out how to use this file to your advantage, in the commands that you'll be forming.
Check Your Work
Fortunately, online tools are available for checking your work; we recommend the ExPASy Translate Tool, sponsored by the same people who run SwissProt. You’re free to use this tool to see if your text processing commands produce the same results.
XMLPipeDB Match Practice
For your convenience, the XMLPipeDB Match Utility (xmlpipedb-match-1.1.1.jar) has been installed in the ~dondi/xmlpipedb/data directory alongside the other practice files. Use this utility to answer the following questions:
- What Match command tallies the occurrences of the pattern
GO:000[567]in the 493.P_falciparum.xml file?- How many unique matches are there?
- How many times does each unique match appear?
- Try to find one such occurrence “in situ” within that file. Look at the neighboring content around that occurrence.
- Describe how you did this.
- Based on where you find this occurrence, what kind of information does this pattern represent?
- What Match command tallies the occurrences of the pattern
\"Yu.*\"in the 493.P_falciparum.xml file?- How many unique matches are there?
- How many times does each unique match appear?
- What information do you think this pattern represents?
- Use Match to count the occurrences of the pattern
ATGin the hs_ref_GRCh37_chr19.fa file (this may take a while). Then, use grep and wc to do the same thing.- What answer does Match give you?
- What answer does grep + wc give you?
- Explain why the counts are different. (Hint: Make sure you understand what exactly is being counted by each approach.)
BIOL 367, Fall 2015, User Page, Team Page
| Weekly Assignments | Individual Journal Pages | Shared Journal Pages |
|---|---|---|
|
|
|
|
