Ich habe viele Dateien, die eine Zeichenfolge wie diese enthalten:
/databis/defontis/Dossier_fasta_chrm_avec_piler/SRR6237661_chrm.fasta: N putative CRISPR arrays found
Wobei die N
eine Zahl ist, die entweder oder größer sein kann 0
. Ich muss alle Dateien, bei denen die N
ist, 0
in das Verzeichnis verschieben Sans_crispr
und alle Dateien, bei denen N
größer als ist, 0
in das Verzeichnis Avec_crispr
.
Ich kann auch sehen ls
, dass alle Dateien, in denen kein CRISPR gefunden wurde (diejenigen, in denen N
es vorhanden ist 0
), kleiner als 3355 Byte sind. Vielleicht können diese also verwendet werden.
Ich habe Folgendes versucht:
find . -name "*.out" -type 'f' -size -5k -exec mv {} /databis/defontis/Dossier_fasta_chrm_avec_piler/Dossier_fasta_chrm_sortie_pilercr/Sans_Crispr/ \;
Aber für alle meine Dateien habe ich dies
mv: cannot move './SRR5273182_chrm.fasta.fa-pilercr.out' to '/databis/defontis/Dossier_fasta_chrm_avec_piler/Dossier_fasta_chrm_sortie_pilercr/Sans-Crispr/': Not a directory
Ich habe einige for f in ...do done
oder ausprobiert if then fi
. Ich habe es mit grep
für das Muster versucht ' 0 putative CRISPR arrays found'
, aber nichts davon hat funktioniert, immer ein Fehler oder ich habe nicht gefunden, was ich wollte.
Dies ist ein Beispiel meiner Dateien:
Und das ist der Inhalt: Mit Crispr
Help on reading this report
===========================
This report has three sections: Detailed, Summary by Similarity and Summary by Position.
The detailed section shows each repeat in each putative CRISPR array.
The summary sections give one line for each array.
An 'array' is a contiguous sequence of CRISPR repeats looking like this:
REPEAT Spacer REPEAT Spacer REPEAT ... Spacer REPEAT
Within one array, repeats have high similarity and spacers are, roughly speaking, unique within a window around the array. In a given array, each repeat has a similar length, and each spacer has a similar length. With default parameters, the algorithm allows a fair amount of variability in order to maximize sensitivity. This may allow identification of inactive ("fossil") arrays, and may in rare cases also induce false positives due to other classes of repeats such as microsatellites, LTRs and arrays of RNA genes.
Columns in the detailed section are:
Pos Sequence position, starting at 1 for the first base. Repeat Length of the repeat. %id Identity with the consensus sequence. Spacer Length of spacer to the right of this repeat. Left flank 10 bases to the left of this repeat. Repeat Sequence of this repeat.
Dots indicate positions where this repeat
agrees with the consensus sequence below. Spacer Sequence of spacer to the right of this repeat,
or 10 bases if this is the last repeat.
The left flank sequence duplicates the end of the spacer for the preceding repeat; it is provided to facilitate visual identification of cases where the algorithm does not correctly identify repeat endpoints.
At the end of each array there is a sub-heading that gives the average repeat length, average spacer length and consensus sequence.
Columns in the summary sections are:
Array Number 1, 2 ... referring back to the detailed report. Sequence FASTA label of the sequence. May be truncated. From Start position of array. To End position of array. # copies Number of repeats in the array. Repeat Average repeat length. Spacer Average spacer length. + +/-, indicating orientation relative to first array in group. Distance Distance from previous array. Consensus Consensus sequence.
In the Summary by Similarity section, arrays are grouped by similarity of their consensus sequences. If consensus sequences are sufficiently similar, they are aligned to each other to indicate probable relationships between arrays.
In the Summary by Position section, arrays are sorted by position within the input sequence file.
The Distance column facilitates identification of cases where a single array has been reported as two adjacent arrays. In such a case, (a) the consensus sequences will be similar or identical, and (b) the distance will be approximately a small multiple of the repeat length + spacer length.
Use the -noinfo option to turn off this help. Use the -help option to get a list of command line options.
pilercr v1.06 By Robert C. Edgar
/databis/defontis/Dossier_fasta_chrm_avec_piler/SRR2177954_chrm.fasta: 1 putative CRISPR arrays found.
DETAIL REPORT
Array 1
>SRR2177954.k141_500270 flag=1 multi=9.2309 len=7453
Pos Repeat %id Spacer Left flank Repeat Spacer
========== ====== ====== ====== ========== ==================================== ======
66 36 100.0 25 CAGAAGTATT .................................... CTCACACACGCTGATGCAGACAACA
127 36 100.0 26 GCAGACAACA .................................... GCGAGAGCAGGGATTTGGAACGTAAT
189 36 100.0 26 GGAACGTAAT .................................... ATGTTGATGGAAAAACTCCCACAGAC
251 36 100.0 TCCCACAGAC .................................... ACTGAATGTG
========== ====== ====== ====== ========== ====================================
4 36 25 ATCTACAAAAGTAGAAATTTTATAGAGGTATTTGGC
SUMMARY BY SIMILARITY
Array Sequence Position Length # Copies Repeat Spacer + Consensus
===== ================ ========== ========== ======== ====== ====== = =========
1 SRR2177954.k141_ 66 221 4 36 25 + ATCTACAAAAGTAGAAATTTTATAGAGGTATTTGGC
SUMMARY BY POSITION
>SRR2177954.k141_500270 flag=1 multi=9.2309 len=7453
Array Sequence Position Length # Copies Repeat Spacer Distance Consensus
===== ================ ========== ========== ======== ====== ====== ========== =========
1 SRR2177954.k141_ 66 221 4 36 25 ATCTACAAAAGTAGAAATTTTATAGAGGTATTTGGC
Ohne Crispr
Help on reading this report
===========================
This report has three sections: Detailed, Summary by Similarity
and Summary by Position.
The detailed section shows each repeat in each putative
CRISPR array.
The summary sections give one line for each array.
An 'array' is a contiguous sequence of CRISPR repeats
looking like this:
REPEAT Spacer REPEAT Spacer REPEAT ... Spacer REPEAT
Within one array, repeats have high similarity and spacers
are, roughly speaking, unique within a window around the array.
In a given array, each repeat has a similar length, and each
spacer has a similar length. With default parameters, the
algorithm allows a fair amount of variability in order to
maximize sensitivity. This may allow identification of
inactive ("fossil") arrays, and may in rare cases also
induce false positives due to other classes of repeats
such as microsatellites, LTRs and arrays of RNA genes.
Columns in the detailed section are:
Pos Sequence position, starting at 1 for the first base.
Repeat Length of the repeat.
%id Identity with the consensus sequence.
Spacer Length of spacer to the right of this repeat.
Left flank 10 bases to the left of this repeat.
Repeat Sequence of this repeat.
Dots indicate positions where this repeat
agrees with the consensus sequence below.
Spacer Sequence of spacer to the right of this repeat,
or 10 bases if this is the last repeat.
The left flank sequence duplicates the end of the spacer for the preceding
repeat; it is provided to facilitate visual identification of cases
where the algorithm does not correctly identify repeat endpoints.
At the end of each array there is a sub-heading that gives the average
repeat length, average spacer length and consensus sequence.
Columns in the summary sections are:
Array Number 1, 2 ... referring back to the detailed report.
Sequence FASTA label of the sequence. May be truncated.
From Start position of array.
To End position of array.
# copies Number of repeats in the array.
Repeat Average repeat length.
Spacer Average spacer length.
+ +/-, indicating orientation relative to first array in group.
Distance Distance from previous array.
Consensus Consensus sequence.
In the Summary by Similarity section, arrays are grouped by similarity of their
consensus sequences. If consensus sequences are sufficiently similar, they are
aligned to each other to indicate probable relationships between arrays.
In the Summary by Position section, arrays are sorted by position within the
input sequence file.
The Distance column facilitates identification of cases where a single
array has been reported as two adjacent arrays. In such a case, (a) the
consensus sequences will be similar or identical, and (b) the distance
will be approximately a small multiple of the repeat length + spacer length.
Use the -noinfo option to turn off this help.
Use the -help option to get a list of command line options.
pilercr v1.06
By Robert C. Edgar
/databis/defontis/Dossier_fasta_chrm_avec_piler/ERR1544006_chrm.fasta: 0 putative CRISPR arrays found.
Vielen Dank für Ihre Zeit
Antwort1
Iterieren Sie einfach über die Dateien und grep
suchen Sie nach : 0 putative CRISPR regions
. Wenn grep
eine Übereinstimmung gefunden wird, verschieben Sie die Datei:
mkdir -p Sans_crispr Avec_crispr
for file in *pilercr.out; do
if grep -q ': 0 putative CRISPR arrays' "$file"; then
mv "$file" Sans_crispr
else
mv "$file" Avec_crispr
fi
done
Das -q
Flag „to“ grep
weist ihn an, keine Ausgabe zu drucken, er wird aber trotzdem mit einem Fehlerstatus beendet, wenn keine Übereinstimmung gefunden wird, und mit Erfolg, wenn eine Übereinstimmung gefunden wird. Hier verwenden wir das also, um die Dateien in den entsprechenden Ordner zu verschieben.
Der Grund für diesen Fehler:
mv: cannot move './SRR5273182_chrm.fasta.fa-pilercr.out' to '/databis/defontis/Dossier_fasta_chrm_avec_piler/Dossier_fasta_chrm_sortie_pilercr/Sans-Crispr/': Not a directory
Das liegt daran, dass das Verzeichnis /databis/defontis/Dossier_fasta_chrm_avec_piler/Dossier_fasta_chrm_sortie_pilercr/Sans-Crispr/
nicht existiert. Aus diesem Grund lautet der erste Befehl im obigen kleinen Skript: mkdir -p Sans_crispr Avec_crispr
„Erstelle die Verzeichnisse Sans_crispr und Avec_crispr, sofern sie nicht bereits existieren.“