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Yes, for Illumina Mate-pair reads, there are multiple scenarios that need be handled at the same time, at least the junction sequence and its reverse complement. Maybe Trim_galore can do it with multiple steps, is that right?
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No, if you wanted to use many adapter sequences you would have to use Cutadapt itself. For standard (Illumina) sequencing libraries this is probably not needed though. Do you have a reason to try many adapters as the first attempt instead of just going with the default (which is Illumina adapters)?
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Thanks Felix, I will give it a try again. Is it poosible to provide multiple adaptor sequences in a single line like cutadapt?cutadapt -a PRIMER1 -b ADAPTOR1 -b ADAPTOR2
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Apologies for that, this was a bug in the code because the default length cutoff had not been defined when the check against the length of unpaired reads was performed. I have now fixed that and put up a new version. Just as side note, the retain length for unpaired singleton reads has to be greater than the paired-end length cutoff (which is 20bp by default).
Please download the hot-fixed version 0.3.1 from the Trim Galore project page.
Best,
Felix
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trim galore error
Hello,
When I tried trim-galore (v0.3.0) for mate_pair reads (actually my first time to use it) I always had an error:
Code:Use of uninitialized value $length_cutoff in numeric gt (>) at /usr/bin/trim_galore line 1068. Use of uninitialized value $length_cutoff in numeric gt (>) at /usr/bin/trim_galore line 1077. Failed to write to file: No such file or directory
Code:trim_galore --paired -phred33 -q 20 -a CTGTCTCTTATACACATCT -a2 AGATGTGTATAAGAGACAG -e 0.15 --clip_R1 14 --clip_R2 15 --retain_unpaired -t -r1 20 -r2 20 -o MP03-05k_R1+R2trim_galored.fq test_R1.fq test_R2.fq
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A new version of Trim Galore (v0.3.0) is now available for download from https://www.bioinformatics.babraham....s/trim_galore/.
This new release adds the options '--clip_R1' and '--clip_R2' to trim off a fixed number of bases from the 5' end of reads. This can be useful if the quality is unusually low at the start, or whenever there is an undesired bias at the start of reads. An example for this could be PBAT-Seq in general (where the first 4bp show a very strong sequence (and methylation) bias), or the start of Read 2 of every shotgun Bisulfite-Seq paired-end library where the end repair procedure introduces unmethylated cytosines. For more information on this please refer to the M-bias section of the Bismark User Guide.
Together with the '--ignore' and '--ignore_r2' options in the Bismark methylation extractor one may now choose whether to remove potential biased positions at the start of reads before mapping or ignoring them later on using the Bismark methylation extractor.
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Originally posted by Vasilisa View PostHi!
I have a question about the usage of Trim Galore (v0.3.0) for paired-end data filtering.
I used FastQC to generate the quality assessment report. Based on it, I want to trim my sequences both at the 3'- and 5'-ends (from "Per base sequence quality") and also filter them based on quality (from "Per sequence quality scores"). Is there a way to somehow integrate FastQC with Trim Galore for paired-end data?
Thanks a lot!
Vasilisa
FastQC and Trim Galore are independent pieces of software, so they can't really be 'integrated'. Trim Galore will by default use a Phred score cutoff of 20 for quality trimming (the implementation is the same as the one used by BWA, please see the Cutadapt documentation for more information). As of the latest version of Trim Galore you can also trim sequences on their 5' ends if intended. If you are simply experiencing somwhat lower qualities at the first couple of positions it is probably simply due to the quality score calibration that takes place during the first cycles on the HiSeq/MiSeq. Normally it is sufficient to run Trim Galore in its default setting.
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paired-end data filtering with FastQC
Hi!
I have a question about the usage of Trim Galore (v0.3.0) for paired-end data filtering.
I used FastQC to generate the quality assessment report. Based on it, I want to trim my sequences both at the 3'- and 5'-ends (from "Per base sequence quality") and also filter them based on quality (from "Per sequence quality scores"). Is there a way to somehow integrate FastQC with Trim Galore for paired-end data?
Thanks a lot!
Vasilisa
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We have just released Trim Galore v0.2.8, which is more of a cosmetic update. The changes in detail are:
• Trim Galore will now compress output files with GZIP on the fly instead of compressing the trimmed file once trimming has completed. In the interest of time temporary files are not being compressed
• Added a small sanity check to exit if no files were supplied for trimming. Thanks to P. for 'bringing this to my attention'
• The download also includes the updated RRBS guide
The download can be found here: http://www.bioinformatics.babraham.a...s/trim_galore/
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We have just released Trim Galore v0.2.7 that adds an option '--dont_gzip' which takes precedence over .gz file endings.
The download can be found here: http://www.bioinformatics.babraham.a...s/trim_galore/.
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Originally posted by blanco View PostThanks again for your quick reply fkrueger.
What, however, if I do not want to use the default 13bp adapter but instead want to use the whole 63 bp index-adapter (index = red):
(5')-adapter-(3')=GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG
Would I still be safe to just use the -a option? I am assuming yes.
AGATCGGAAGAGC, which happens to be pretty much what Trim Galore is using by default:
AGATCGGAAGAGC.
If you still want to use the entire sequence then you would need tp specify different adapters for both sides since their sequence starts diverging after the first 13bp. Unless you want to trim only a subset of indexed adapters it is probably best to just run it in default mode.
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Thanks again for your quick reply fkrueger.
What, however, if I do not want to use the default 13bp adapter but instead want to use the whole 63 bp index-adapter (index = red):
(5')-adapter-(3')=GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG
Would I still be safe to just use the -a option? I am assuming yes.
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I have also found that when using Nextera sample prep, you should trim at CTGTCTCTTATACACATCT instead of the usual AGATCGGAAGAGC.
Best wishes, Gavin
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Originally posted by blanco View PostHi, I am wondering about the -a and -a2 parameters for paired end reads
For example my libraries were made using the Illumina TruSeq adapters, one of which is:
(5')-adapter-(3')=GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG
Should -a2 be the reverse of this or should I not use the a2 option at all?
Thanks,
blanco
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Hi, I am wondering about the -a and -a2 parameters for paired end reads
For example my libraries were made using the Illumina TruSeq adapters, one of which is:
(5')-adapter-(3')=GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG
Should -a2 be the reverse of this or should I not use the a2 option at all?
Thanks,
blanco
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