Mini-Tutorals

bp-utils: bioseq

• Use accession "CP002316.1" to retrieve the Genbank file from NCBI. Save the output (in genbank format) to a file named as "cp002316.gb".

bioseq -f "CP002316.1" -o'genbank' > cp002316.gb

• Use the above file as input, extract FASTA sequences for each genes and save the output to a new file called "cp002316.nuc". Use this file for the following questions.

bioseq -i "genbank" -F cp002316.gb > cp002316.fas

• Count the number of sequences.

bioseq -n cp002316.fas

• In a single command, pick the first 10 sequences and find their length

bioseq -p "order:1-10" cp002316.fas | bioseq –l

• In a single command, pick the third and seventh sequences from the file and do the 3-frame translation. Which reading frame is the correct on both? Specify

bioseq -p "order:3,7" cp002316.fas | bioseq -t3

• Find the base composition of the last two sequences

bioseq -p "order:25-26" cp002316.fas| bioseq –c

• Pick the sequence with id "Bbu|D1_B11|8784|9302|1" and count the number of codons present in this sequence

bioseq -p "id:BbuJD1_B11|8784|9302|1" cp002316.fas | bioseq –C

• Delete the last 10 sequences from the file and save the output to cp002316-v2.nuc

bioseq -d "order:17-26" cp002316.fas > cp002316-v2.nuc

• In a single command, pick the first sequence, then get the 50-110 nucleotides and make reverse complement of the sub-sequences

bioseq -p "order:1" cp002316.fas | bioseq -s "50,110" | bioseq –r

• In a single command, get the first 100 nucleotides of all the sequences present in the file and do 1-frame translation of all sub-sequences.

bioseq -s "1,100" cp002316.fas | bioseq -t1

bp-utils: bioaln

• Go to /home/shared/LabMeetingReadings/Test-Data and find the sequence alignment file “bioaln_tutorial.aln”. Name the format of the alignment file. Use it to answer all the questions below.
• Find the length of the alignment.
• Count the number of the sequences present in the alignment.
• How do you convert this alignment in phylip format? Save the output.
• Pick “seq2, seq5, seq7, seq10” from the alignment and calculate their average percent identity.
• Get an alignment slice from “50-140” and find the average identities of the slice for sliding windows of 25.
• Extract conserved blocks from the alignment.
• Find the unique sequences and list their ids.
• Extract third sites from the alignment and show only variable sites in match view.
• Remove the gaps and show the final alignment in codon view for an alignment slice “1-100”.
• Add a 90% consensus sequence and then show the final alignment in match plus codon view for an alignment slice “20-80”. (Hint: First try match view followed by codon view)