Re: [galaxy-user] (no subject)

2014-06-02 Thread Jennifer Jackson

Hello Giuseppe,

Please try two things:

1. At the top of the history panel is a small double arrow refresh 
icon. Click this to see if it updates the view. If not, click on the 
very top Galaxy masthead icon. This should not be necessary any 
longer, but try it anyway.


2. Double check that the dataset or datasets were permanently deleted, 
not just deleted. Using the history menu choose Include Deleted 
Datasets. The description in the deleted datasets will either note that 
they are permanently deleted or if you need to do another step (a link 
is provided).


3. The history menu also has an option to Purge Deleted Datasets all 
in one go - but be very certain before using this. Any dataset that has 
status deleted will be permanently deleted and no longer recoverable. A 
dataset that is just in deleted status can be either recovered or 
permanently deleted. This is a two step process to help users avoid 
mistakes - the change is forever.


More about delete vs perm delete is in our wiki here:
https://wiki.galaxyproject.org/Learn/ManagingDatasets#Delete_vs_Delete_Permanently

Thanks!

Jen
Galaxy team

ps. Please note this mailing list is being retired at the end of the 
week. Please post new question to Galaxy Biostar.

https://wiki.galaxyproject.org/Support#Biostar


On 6/2/14 8:54 AM, Ianiri, Giuseppe wrote:

Hi,
I uploaded some file that resulted to be too big and my history showed 
that that was not more space available. Now I deleted few file, and  I 
should have 80 GB available, but my history shows still that I have no 
more space available for analysis. Can anyone from the Galaxy team 
check this for me?


Giuseppe



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[galaxy-user] (no subject)

2013-10-12 Thread Stanislas w
set delivery on
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Re: [galaxy-user] (no subject)

2013-09-12 Thread Jennifer Jackson

Hi Maria,

This message indicates that an error occurred on the cluster node 
processing the job. Normally these are not linked to inputs or tools and 
the general solution is to re-run the job. Please give this a try today 
- it is possible the error was linked to recent transient server issues.


If you continue to have problems after the re-run today, please submit a 
bug report from the error dataset, leaving inputs and outputs undeleted:

http://wiki.galaxyproject.org/Support#Reporting_tool_errors

Best,

Jen
Galaxy team

On 9/11/13 12:38 PM, Maria Hoffman wrote:

Hello,

I am fairly new to galaxy and I am trying to use bowtie2 to map my 
reads against a custom genome (specifically a ribosomal RNA fasta 
file). I have formatted the file as suggested in the Galaxywiki ect 
and I am still getting the following message: Job output not returned 
by PBS: the output datasets were deleted while the job was running, 
the job was manually dequeued or there was a cluster error.


Any help would me much appreciated!

Maria


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[galaxy-user] (no subject)

2013-09-11 Thread Maria Hoffman
Hello,

I am fairly new to galaxy and I am trying to use bowtie2 to map my reads
against a custom genome (specifically a ribosomal RNA fasta file). I have
formatted the file as suggested in the Galaxywiki ect and I am still
getting the following message: Job output not returned by PBS: the output
datasets were deleted while the job was running, the job was manually
dequeued or there was a cluster error.

Any help would me much appreciated!

Maria
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[galaxy-user] (no subject)

2013-06-17 Thread Loubna Youssar

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[galaxy-user] (no subject)

2013-05-20 Thread Ianiri, Giuseppe
Hi,
I have worked so far on the free web-based version of Galaxy; now I have 
installed Bio-Linux 7, and there is Galaxy in there as well. However, I cannot 
access to my data (stored on the web version of Galaxy) using Galaxy on Bio 
Linux. If it is possible, does anyone know how to do it?
Thanks,


Giuseppe Ianiri
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Re: [galaxy-user] (no subject)

2013-04-05 Thread Jeremy Goecks
Cuffmerge does some additional steps that Cuffcompare does not; specifically, 
Cuffmerge attempts to remove assembly artifacts: 
http://cufflinks.cbcb.umd.edu/manual.html#cuffmerge It's likely that the 
(presumed) artifacts removed by Cuffmerge account for the differences that 
you're seeing.

Best,
J.

On Apr 5, 2013, at 8:33 AM, Davide Degli Esposti wrote:

 Dear Galaxy team,
 
 I have a question about RNA analysis with the cufflinks package.
 
 I have some bam files to analyze from a SOLiD platform. Some previous tests 
 show that these bam/sam files are different from those coming from Tophat and 
 cufflinks cannot assemble them using a reference annotation (XS attribute 
 lacking in spliced alignments). (see 
 https://main.g2.bx.psu.edu/u/davide-degliesposti/h/rna-seqtest-datasetscufflinks).
  An apparent solution is to include the reference annotation in the cuffmerge 
 (see  
 https://main.g2.bx.psu.edu/u/davide-degliesposti/h/rna-seqtest-datasetsapril-20132)
  or cuffcompare (see 
 https://main.g2.bx.psu.edu/u/davide-degliesposti/h/rna-seqtest-datasetsjan-2013-1)
  steps. Doing like this allowed me to run cuffdiff on my datasets without 
 apparent technical errors. However, when I compare the list of differentially 
 expressed transcripts (DETs), these results extremely different: using 
 cuffcompare, I got 390 DETs and using cuffmerge I got 770 DETs, but just 60 
 genes are shared between the two lists. The parameters used in cuffdiff (FDR, 
 Min Alignement counts, etc.) are the same for the two analyses.
 
 Do you have any explanation about that? I expected that cuffcompare and 
 cuffmerge did not lead to outputs quantitatively different. Where may the 
 source of this difference be?
 
 I thank you for your cooperation
 
 Davide
 
 ---
 Davide Degli Esposti, PhD
 Epigenetic (EGE) Group
 International Agency for Research on Cancer
 Tel. +33 4 72738036
 Fax. +33 4 72738322
 150, cours Albert Thomas
 69372 Lyon Cedex 08
 France 
 
 
 
 
 
 
 
 This message and its attachments are strictly confidential. If you are not
 the intended recipient of this message, please immediately notify the sender 
 and delete it. Since its integrity cannot be guaranteed, its content cannot 
 involve the sender's responsibility. Any misuse, any disclosure or 
 publication 
 of its content, either whole or partial, is prohibited, exception made of 
 formally approved use.
 
 
 
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Re: [galaxy-user] (no subject)

2013-01-07 Thread Jennifer Hillman-Jackson

Security warning: DO NOT CLICK on the link in this thread.

Eric Guo - it is likely that your original sending hotmail email account 
has been compromised. We have removed it from the galaxy-u...@bx.psu.edu 
mailing list to prevent further unmoderated posts until the problem is 
cleared. Contacting your local system administrator for help is one 
place to start. Anyone who did click on the link already should do the 
same, as this is usually how such viruses spread, although much depends 
on OS and other factors.


Good luck!

Jen
Galaxy team

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[galaxy-user] (no subject)

2012-11-09 Thread Vevis, Christis
Hi,

I am performing online tophat on 5  different samples which I want to compare 
for gene expression. Is there any simple way, after the end of tophat for all 
of them, with which I can have an excel table with the 5 samples and their hits?

Something similar to this

Vevis1

Vevis2

Vevis3

Vevis4

Vevis5

uc010kuo.1

128.8503

136.60553

146.7073

91.23218

120.325

AK311687

TRA2A

Homo sapiens transformer 2 alpha homolog (Drosophila) (TRA2A), mRNA.

Regards

Kristis Vevis, PhD Student
Cell Biology
UCL Institute of Ophthalmology
11-43 Bath Street
London
EC1V 9EL, UK
020 7608 4067

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Re: [galaxy-user] (no subject)

2012-11-09 Thread Jeremy Goecks
Kristis,

This data is available further downstream in an RNA-seq analysis pipeline, 
specifically, as output from the Cuffdiff tool. Take a look at the page for 
more details:

https://main.g2.bx.psu.edu/rna-seq

Best,
J.

On Nov 9, 2012, at 3:42 AM, Vevis, Christis wrote:

 Hi,
  
 I am performing online tophat on 5  different samples which I want to compare 
 for gene expression. Is there any simple way, after the end of tophat for all 
 of them, with which I can have an excel table with the 5 samples and their 
 hits?
  
 Something similar to this
 Vevis1
 Vevis2
 Vevis3
 Vevis4
 Vevis5
 uc010kuo.1
 128.8503
 136.60553
 146.7073
 91.23218
 120.325
 AK311687
 TRA2A
 Homo sapiens transformer 2 alpha homolog (Drosophila) (TRA2A), mRNA.
 Regards
  
 Kristis Vevis, PhD Student
 Cell Biology
 UCL Institute of Ophthalmology
 11-43 Bath Street
 London
 EC1V 9EL, UK
 020 7608 4067
  
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[galaxy-user] (no subject)

2012-08-10 Thread Du, Jianguang
I am new to the NGS analysis. I need help to solve this problem.



As shown in my previous emial/question shown below, I have some paired-end 
datasets at FASTQ format, and I have problem to split each of these datasets 
into two datasets (one forward and one reverse).



Jennifer instructed me to assign the datatype to be fastqsanger first and then 
run 'Manipulate FASTQ'.



I have two questions:

1) Now that the datasets were already split into forward and reverse reads when 
extracted in FASTQ format from the SRA, can I use them just as single end data?

2) If I do need to split each dataset into two datasets, how should I choose 
the settings when I run Manipulte FASTQ?



Thanks.



Jianguang

/

On 8/10/12 7:21 AM, Du, Jianguang wrote:
 I have problem to split a paired-end FASTQ dataset into two separate
 datasets. In order to explain the problem clearly, I list the detail of
 what I did with my dataset:

 Step 1) My aim is to compare datasets for the differential alternative
 splicing. I downloaded paired-end datasets at FASTQ format from SRA of
 NCBI as original data.

 Below is part of my paired-end FASTQ dataset that I downloaed from SRA
 of NCBI, Does this dataset look OK?

 @SRR192532.1.1 HWI-EAS269:1:4:655:110.1 length=35
 GCTGAGTGAGGGTGTGTTTGGAGTTTG
 +SRR192532.1.1 HWI-EAS269:1:4:655:110.1 length=35
 I28II;II*2/5:++,(..*943F@I.('+.35'
 @SRR192532.1.2 HWI-EAS269:1:4:655:110.2 length=35
 AAAGATGTTAGTGATACGGAAAGGATATCTC
 +SRR192532.1.2 HWI-EAS269:1:4:655:110.2 length=35
 9+*9+7@?F1206,IGI+D122/0++-.+6/@?

 Step 2) Then I performed FASTQ groomer at setting as follows:

 a) Input FASTQ quality scores type: Illumina 1.3-1.7

 b)Advanced Options: Hide Advanced Options.

 Did I choose the right setting for FASTQ groomer? Should I use Advanced
 Options? If yes, what is the setting for Advances Options?

 Below is part of groomed dataset:

 @SRR192532.1.1 HWI-EAS269:1:4:655:110.1 length=35
 GCTGAGTGAGGGTGTGTTTGGAGTTTG
 +SRR192532.1.1 HWI-EAS269:1:4:655:110.1 length=35
 *!!**!**'!*
 @SRR192532.1.2 HWI-EAS269:1:4:655:110.2 length=35
 AAAGATGTTAGTGATACGGAAAGGATATCTC
 +SRR192532.1.2 HWI-EAS269:1:4:655:110.2 length=35
 '!*(*!%

 Does the groomed data look right? Is number represnting the member of a
 pair correct? Here they are .1 and .2, should they be /1 and /2?

 Step 3) Then I ran FASTQ splitter with the groomed files. There is not
 setting for the splitter. I chose the right groomed file and then click
 Excute. Below is the description of the splitted dataset:

 empty
 format:fastqsanger, database:hg19
 Info: Split 0 of 15277248 reads (0.00%).

 Please help me dela with this problem.

 Thanks.

 Jianguang Du

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Re: [galaxy-user] (no subject)

2012-06-04 Thread Jennifer Jackson

Hi Megan,

I ran a few tests and found that changing the file suffix to .txt when 
using the autodetect upload type function speed up the loading process 
considerably. As the final result is an identical Galaxy dataset to what 
is produced with using the existing suffix, this is something I would 
recommend that you try next time.


For my test, I took one of your files and change the suffix directly, no 
other changes were made to the content, as it was already a 
tab-delimited text file. I didn't continue with the testing to specify 
the datatype at upload (tabular would be the correct choice), but this 
is a change that may also speed up import slightly, although the .txt 
suffix change was dramatic alone and the upload was quick  (I ran a 
side-by-side comparison of an original and .txt-suffix modified file).


The general reason behind this is that Galaxy will interpret data to 
detect and confirm datatypes during upload to create associated metadata 
needed for tool use. Detection is a convenience option that comes at a 
cost (compute resource and time). If you can provide this information 
instead, the detection portion of the process can be avoided, 
confirmation and metadata creation can be started directly, and the 
result is a quicker upload.


Hopefully this helps for next time,

Jen
Galaxy team

On 5/22/12 8:49 AM, Estorninho, Megan wrote:

Yes I am still experiencing problems. My files are only around 80-120MB and are 
taking hours to load if at all.
Thanks for your help,
Megan

Sent from my iPhone

On 22 May 2012, at 14:38, Jennifer Jacksonj...@bx.psu.edu  wrote:


Hello Megan,

Are you still experiencing problems now? Galaxy may have been busy
immediately following the resolution of the cluster problem, although
your problem does appear to be unrelated.

It sounds like you are uploading file through a browser. A better choice
would be to use FTP. This is required for datasets approaching or
exceeding 2G in size.

Files that are  2G, really any file over ~ 500MB, can also benefit from
FTP upload. An FTP client tracks the progress of an upload and can
resume an interrupted transfer.  http://wiki.g2.bx.psu.edu/FTPUpload

Hopefully this helps,

Jen
Galaxy team

On 5/21/12 10:21 AM, Estorninho, Megan wrote:

I have been unable to upload data files into Galaxy Main since Friday 18th May 
2012. Today is my fourth day of attempting uploads. Refreshing and leaving the 
files to upload overnight does not work.
Although Jennifer has stated the bug has been fixed at 5.30pm today I am still 
unable to upload data files. I thought I may be exceeding maximum file capacity 
but I am well below at only 1.8Gb.
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[galaxy-user] (no subject)

2012-05-22 Thread Estorninho, Megan
I have been unable to upload data files into Galaxy Main since Friday 18th May 
2012. Today is my fourth day of attempting uploads. Refreshing and leaving the 
files to upload overnight does not work.
Although Jennifer has stated the bug has been fixed at 5.30pm today I am still 
unable to upload data files. I thought I may be exceeding maximum file capacity 
but I am well below at only 1.8Gb.
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Re: [galaxy-user] (no subject)

2012-05-22 Thread Jennifer Jackson

Hello Megan,

Are you still experiencing problems now? Galaxy may have been busy 
immediately following the resolution of the cluster problem, although 
your problem does appear to be unrelated.


It sounds like you are uploading file through a browser. A better choice 
would be to use FTP. This is required for datasets approaching or 
exceeding 2G in size.


Files that are  2G, really any file over ~ 500MB, can also benefit from 
FTP upload. An FTP client tracks the progress of an upload and can 
resume an interrupted transfer.  http://wiki.g2.bx.psu.edu/FTPUpload


Hopefully this helps,

Jen
Galaxy team

On 5/21/12 10:21 AM, Estorninho, Megan wrote:

I have been unable to upload data files into Galaxy Main since Friday 18th May 
2012. Today is my fourth day of attempting uploads. Refreshing and leaving the 
files to upload overnight does not work.
Although Jennifer has stated the bug has been fixed at 5.30pm today I am still 
unable to upload data files. I thought I may be exceeding maximum file capacity 
but I am well below at only 1.8Gb.
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[galaxy-user] (no subject)

2012-04-10 Thread Michael Sikes

Hi,

I have hit a brick wall when trying to convert wig files from the GEO  
to bigwig files.  Each time I try (and I have tried many times since  
October), I get the same error. For example, here is a downloaded wig  
file, that I assigned to the mouse mm8 genome, and the error I got  
when I tried to convert it to a bigwig file. The dataset came from  
Bing Ren's lab, and its GEO record is here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM560344


The wig file was uploaded to Galaxy Dec. 8, 2011, and I assigned mm8  
rather than mm9 based on the GEO record:


49: GSM560344_03112009_313D2AAXX_B7.wi
~960,000 lines
format: wig, database: mm8
Info: uploaded wig file
display at UCSC main

The details for this upload are as follows:

Tool: Upload File
Name:   GSM560344_03112009_313D2AAXX_B7.wi
Created:Dec 08, 2011
Filesize:   12.1 Mb
Dbkey:  mm8
Format: wig
Tool Version:   
Tool Standard Output:   stdout
Tool Standard Error:stderr

Input Parameter Value
File Format auto
Genome  
Conditional (files_metadata)32
Inheritance Chain

GSM560344_03112009_313D2AAXX_B7.wi




The wig-to-bigWig conversion on data 49 (using the wig to bigwig  
conversion tool in the convert formats toolbox) was run on March 21,  
2012 and gave the following error:

 77: Wig-to-bigWig on data 49
0 bytes
An error occurred running this job:line 152351 of stdin: chromosome  
chr13 has 120614378 bases, but item ends at 120614600
line 298005 of stdin: chromosome chr17 has 95177420 bases, but item  
ends at 95177625
line 325066 of stdin: chromosome chr16 has 98252459 bases, but item  
ends at 9825252


The details for this operation are as follows:

Tool: Wig-to-bigWig
Name:   Wig-to-bigWig on data 49
Created:Mar 21, 2012
Filesize:   0 bytes
Dbkey:  mm8
Format: bigwig
Tool Version:   
Tool Standard Output:   stdout
Tool Standard Error:stderr

Input Parameter Value
Convert 49: GSM560344_03112009_313D2AAXX_B7.wi
Conditional (settings)  1
Items to bundle in r-tree   256
Data points bundled at lowest level 1024
Clip chromosome positions   True
Do not use compression  True
Inheritance Chain

Wig-to-bigWig on data 49

I gather that the chromosome ends are not being snipped off, even  
though I toggle this option on the galaxy conversion tool. And I know  
it's doing something, because if I toggle that option off, I get an  
error that includes broken pipe and simply aborts. I apologize for  
knowing so little about the bioinformatics involved here. And I'm sure  
I've overlooked something that is likely obvious to others and/or  
failed to provide some critical bit of info in this email. But any  
help would be greatly appreciated.


Thanks,
Mike



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[galaxy-user] (no subject)

2011-12-16 Thread Giuseppe Petrosino
Hi,
I read on Readme for MACS that: For the experiment with several
replicates, it is recommended to concatenate several ChIP-seq treatment
files into a single file.
Now, I have illumina ChipSeq data: two files for IP samples and two files
for Control samples. Is It right to use Concatenate datasets (text
manipulation) and then use MACS for the peaks calling?
Thank you so much.

Giuseppe
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[galaxy-user] (no subject)

2011-10-28 Thread Mahjoubeh Jalali

Dear All

How can I de-subscribe from the mailing list?
Any help would be appreciated

Kind Regards
M. J
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[galaxy-user] (no subject)

2011-09-28 Thread raghava rao
-- 
Y.P.V.S.Raja Raghava Rao
Research Scholar
Dr.K.Sreenivasulu Lab
Dept.of Animal Sciences
School of Life Sciences
University of Hyderabad
ypvs...@gmail.com
9989733698
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[galaxy-user] (no subject)

2011-08-14 Thread Jiannong Xu
Hi Jeremy,

I tried to run cufflinks to assemble transcripts after running Tophat against 
my own reference. This error was encountered.

What was wrong?  How to fix it?

Error running cufflinks. [21:01:14] Inspecting reads and determining fragment 
length distribution.
Processed 11130 loci.
Warning: Using default Gaussian distribution due to insufficient paired-end 
reads in open ranges.  It is recommended that correct paramaters 
(--frag-len-mean and --frag-len-std-dev) be provided.
 Map Properties:
   Total Map Mass: 224153.00
   Read Type: 50bp single-end
   Fragment Length Distribution: Truncated Gaussian (default)
 Default Mean: 200
  Default Std Dev: 80
[21:01:18] Assembling transcripts and estimating abundances.
Processed 11130 loci.
[21:01:22] Loading reference annotation and sequence.
No fasta index found for ref.fa. Rebuilding, please wait..
Error: sequence lines in a FASTA record must have the same length!


Thanks
Jiannong
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Re: [galaxy-user] (no subject)

2011-08-03 Thread Jennifer Jackson

Hello Tarek,

If you want to reduce the number of identical reads, then please see the 
tool FASTA manipulation - Collapse sequences. Converting formats 
would be necessary, the tool Tabular-to-FASTA can perform this operation.


Best,

Jen
Galaxy team

On 8/2/11 3:57 PM, tarek addwebi wrote:


On 8/2/11 3:57 PM, tarek addwebi wrote:

Hi Dear

Is there anybody whom I can share my data with? I have an important
question that I tried to answer, but I could not. Please see the
attachment first, and let us see the first read in the first row. I need
to know how many times I have this read in the whole data. Do I have to
count all reads manually to know the number of this read? It would take
a long time to count 11 million reads. Thank you



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--
Jennifer Jackson
http://usegalaxy.org
http://galaxyproject.org/Support

Hi Dear

Is there anybody whom I can share my data with? I have an important
question that I tried to answer, but I could not. Please see the
attachment first, and let us see the first read in the first row. I need
to know how many times I have this read in the whole data. Do I have to
count all reads manually to know the number of this read? It would take
a long time to count 11 million reads. Thank you



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--
Jennifer Jackson
http://usegalaxy.org
http://galaxyproject.org/Support
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Re: [galaxy-user] (no subject)

2011-05-24 Thread Bossers, Alex
Aaron,
As far as I remember MIRAisn't MIRA taking into account the low/high 
quality bases anyway? So no need to filter there right?
Only filtering needed is for contaminating sequences.(incl adapters and 
such). You can/have to check the MIRA website to be sure though.

The high qual segments I have used as in the metagenomics example but indeed 
you loose the exact qual infobut that is already above the provided 
threshold (default above 20 in Sanger quality score range).

Alex


Van: galaxy-user-boun...@lists.bx.psu.edu 
[mailto:galaxy-user-boun...@lists.bx.psu.edu] Namens Aaron Jex
Verzonden: dinsdag 24 mei 2011 1:40
Aan: galaxy-u...@bx.psu.edu
Onderwerp: [galaxy-user] (no subject)

Hi,

Can't seem to find an answer to this on your wiki site and it's not in the 
tutorial.  I would like to filter my 454 reads for high quality regions, rename 
the resulting sequence fragments AND relink the new reads (fragments) to the 
original quality data so that I can take these filtered reads and assembly them 
using MIRA. Is there a way to do this with Galaxy?  So basically all I want to 
do is take the new read fragments I get from converting the tabular file to the 
fasta file as shown in your metagenomics tutorial, and generate a corresponding 
qual file for these 'new' reads.

Best regards,
Aaron

Aaron Jex, BSc, PhD
Senior Research Officer,
Department of Veterinary Science,
The University of Melbourne,
250 Princes Highway,
Werribee, Victoria,
3030
tel: +61 3 9731 2294
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Re: [galaxy-user] (no subject)

2011-05-24 Thread Peter Cock
On Tue, May 24, 2011 at 12:40 AM, Aaron Jex a...@unimelb.edu.au wrote:
 Hi,

 Can’t seem to find an answer to this on your wiki site and it’s not in the
 tutorial.  I would like to filter my 454 reads for high quality regions,
 rename the resulting sequence fragments AND relink the new reads (fragments)
 to the original quality data so that I can take these filtered reads and
 assembly them using MIRA. Is there a way to do this with Galaxy?

See Alex's answer.

 So
 basically all I want to do is take the new read fragments I get from
 converting the tabular file to the fasta file as shown in your metagenomics
 tutorial, and generate a corresponding qual file for these ‘new’ reads.

When working in Galaxy, I use the SFF converter tool to make FASTQ
rather than FASTA and QUAL.

MIRA will also read in FASTQ, and I find that is easier to work with
for filtering and trimming than a matched FASTA and QUAL file.

Peter

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