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dna-utils

This repository contains general utilities for processing sequences in fasta files.

Tools included

All of our tools use an alphebetical indexing scheme like this:

AAAA = 0
AAAC = 1
AAAG = 2
AAAT = 3
AACA = 4
...

kmer_total_count

this program will count each kmer in a fasta file, and print to standard out.

Usage

usage: kmer_total_count -i input_file -k kmer [-n] [-l] ...

count mers in size k from a fasta file

  --input    -i  input fasta file to count
  --kmer     -k  size of mers to count
  --nonzero  -n  only print non-zero values
  --label    -l  print mer along with value

Report all bugs to mutantturkey@gmail.com

Copyright 2014 Calvin Morrison, Drexel University.

If you are using any dna-utils tool for a publication
please cite your usage:

dna-utils. Drexel University, Philadelphia USA, 2014;
software available at www.github.com/EESI/dna-utils/

Examples

a basic example, where we specify the k-mer size and input file.

calvin@barnabas:~/dna-utils$ ./kmer_total_count -i SuperManSequences.fasta -k 8 
2946
1161
14141
...

it also supports input from stdin, which is great for combining with compression programs

calvin@barnabase:~/dna-utils$ gzip -dc ~/super_big_fasta_file.fasta.gz | ./kmer_total_count -k 8
234523
121612
123161
294282
...

we can also have only nonzero results (great for large mers), which prints the index, then the value

calvin@barnabas:~/src/dna-utils$ ./kmer_total_count --nonzero -k 9 < ~/input/sample\=700013596.fa
no input file specified with -i, reading from stdin
0   3
1   2
3   3
5   1
...

lastly a useful tool is having the labels generated for us, so grepping, searching and other things are easier.

calvin@barnabas:~/src/dna/utils$ ./kmer_total_count -i ~/sample.fa -k 6 -l
AAAAAA 552
AAAAAC 246
...
TTTTTC 102
TTTTTG 924
TTTTTT 4961

kmer_counts_per_sequence

Licensing and Citation

Report all bugs to mutantturkey@gmail.com

Copyright 2014 Calvin Morrison, Drexel University.

If you are using any dna-utils tool for a publication please cite your usage:

dna-utils. Drexel University, Philadelphia USA, 2014; software available at www.github.com/EESI/dna-utils/