obiextract
: extract samples from a dataset¶
The obiextract
command extract a subset of samples from a complete
dataset.
Extracted sample names can be specified or by indicating their names using option on the command line or by indicating a file name containing a sample name per line
The count attribute of the sequence and the slot describing distribution of the sample occurrences among samples are modified according to the selected samples.
A sequence not present in at least one of the selected samples is not conserved in the
output of obiextract
.
obiextract
specific options¶
-
-s
<KEY>
,
--sample
=<KEY>
¶ Attribute containing sample descriptions. By default the attribute name used for describing samples is set to
merged_sample
.
-
-e
<SAMPLE_NAME>
,
--extract
=<KEY>
¶ Attribute indicating which <SAMPLE_NAME> have to be extracted. Several
-p
options can be added for specifying several samples. If you want to extract a large number of samples, please refer to the-E
option described belowTip
The
<KEY>
can be simply the key of an attribute, or a Python expression similarly to the-p
option ofobigrep
.Example:
> obiextract -e sampleA -e sampleB allseqs.fasta > samplesAB.fasta
This command extracts from the
allseqs.fasta
file data related to samplesA
andB
.
-
-E
<FILENAME>
,
--extract-list
=<FILENAME>
¶ - Allows for indicating a file name where a list of sample is stored. The file must be a simple text file with a sample name per line.
Example:
> obiextract -E subset.txt allseqs.fasta > subset_samples.fasta
This command extracts from the
allseqs.fasta
file data related to samples listed in thesubset.txt
file.
Options to specify input format¶
Restrict the analysis to a sub-part of the input file¶
-
--skip
<N>
¶ The N first sequence records of the file are discarded from the analysis and not reported to the output file
-
--only
<N>
¶ Only the N next sequence records of the file are analyzed. The following sequences in the file are neither analyzed, neither reported to the output file. This option can be used conjointly with the –skip option.