Re: [galaxy-user] Counts of mapped reads for each gene?

2013-08-22 Thread Ross
Hi, Yan
The  htseq_bams_to_count_matrix tool in the test toolshed might be worth a
try - it creates tabular count matrices from any number of individual
sample bam/sam files (it is NOT read group aware!). Each row contains the
count for that contig for each sample. It uses HTSeq code and you supply
your favourite gene model as a GTF file for defining the regions to count
and how to amalgamate - eg count reads overlapping exons and sum those into
total counts for each gene. Please give it a try. Install from the admin
interface and let me know how you get on. There's a companion tool
differential_count_models
 also in the test toolshed that includes edgeR, DESeq2 and VOOM from
Bioconductor - it runs 1 or 2 way GLMs using the count matrices generated
by the htseq tool - be warned that it takes a long time to install
everything so be patient and allow 20 minutes or so for the installation to
finish because it compiles and installs R 3.0.1 and Bioconductor packages.

Suggestions for improvement or bug reports always welcomed. Good luck.


On Thu, Aug 22, 2013 at 3:35 PM, Yan He yanh...@hotmail.com wrote:

 Hi Jen and other galaxy-users,

 ** **

 I am analyzing our RNA-seq data. First, I mapped the RNA-seq data to the
 reference genome. I am wondering if there is a tool that could count the
 number of reads that mapped to each gene. That’s important information for
 my subsequent analysis. Any reply is highly appreciated! Thanks,

 ** **

 Yan

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Re: [galaxy-user] Counts of mapped reads for each gene?

2013-08-22 Thread Anto Praveen Rajkumar Rajamani
Hi Yan,

You may use the HTseq count wrapper in the http://galaxy.nbic.nl/.
It does a good job and I could employ edgeR on that count matrix.
Good luck.

Best wishes,
Anto


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[galaxy-user] 答复: Counts of mapped reads for each gene?

2013-08-22 Thread Yan He
Hi Anto,

Thank you very much for your reply! I tried Galaxy/NBIC. However, I had
problem with uploading my files. I used FTP, because the file I had was
larger than 2G, but I couldn’t connect to the NBIC FTP. Do you have some
idea how to solve the problem? Thanks!

Yan

 

发件人: Anto Praveen Rajkumar Rajamani [mailto:a...@hum-gen.au.dk] 
发送时间: Thursday, August 22, 2013 3:14 PM
收件人: Yan He; galaxy-user@lists.bx.psu.edu
主题: RE: [galaxy-user] Counts of mapped reads for each gene?

 

Hi Yan, 

 

You may use the HTseq count wrapper in the http://galaxy.nbic.nl/.

It does a good job and I could employ edgeR on that count matrix.

Good luck.

 

Best wishes,

Anto

 

 

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Re: [galaxy-user] Counts of mapped reads for each gene?

2013-08-22 Thread Anto Praveen Rajkumar Rajamani
Hi Yan,

I also had problems with NBIC FTP.
NBIC allows only 10 GB space for user.
I made my BAM files in main server (using Tophat2) and then uploaded them to 
NBIC using their download URLs.
It was fast. It took me less than a hour to move 16 BAM files (around 9.5 GB).
You may try this.
Good luck.

Best wishes,
Anto



From: Yan He [yanh...@hotmail.com]
Sent: 22 August 2013 09:36
To: Anto Praveen Rajkumar Rajamani; galaxy-user@lists.bx.psu.edu
Subject: 答复: [galaxy-user] Counts of mapped reads for each gene?

Hi Anto,
Thank you very much for your reply! I tried Galaxy/NBIC. However, I had problem 
with uploading my files. I used FTP, because the file I had was larger than 2G, 
but I couldn’t connect to the NBIC FTP. Do you have some idea how to solve the 
problem? Thanks!
Yan

发件人: Anto Praveen Rajkumar Rajamani [mailto:a...@hum-gen.au.dk]
发送时间: Thursday, August 22, 2013 3:14 PM
收件人: Yan He; galaxy-user@lists.bx.psu.edu
主题: RE: [galaxy-user] Counts of mapped reads for each gene?

Hi Yan,

You may use the HTseq count wrapper in the http://galaxy.nbic.nl/.
It does a good job and I could employ edgeR on that count matrix.
Good luck.

Best wishes,
Anto


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[galaxy-user] 答复: Counts of mapped reads for each gene?

2013-08-22 Thread Yan He
Hi Anto,

 

Thanks so much! I will try. 

 

Best wishes,

Yan

 

发件人: Anto Praveen Rajkumar Rajamani [mailto:a...@hum-gen.au.dk] 
发送时间: Thursday, August 22, 2013 3:57 PM
收件人: Yan He; galaxy-user@lists.bx.psu.edu
主题: RE: [galaxy-user] Counts of mapped reads for each gene?

 

Hi Yan, 

 

I also had problems with NBIC FTP.

NBIC allows only 10 GB space for user.

I made my BAM files in main server (using Tophat2) and then uploaded them to
NBIC using their download URLs.

It was fast. It took me less than a hour to move 16 BAM files (around 9.5
GB).

You may try this.

Good luck.

 

Best wishes,

Anto

 

 

  _  

From: Yan He [yanh...@hotmail.com]
Sent: 22 August 2013 09:36
To: Anto Praveen Rajkumar Rajamani; galaxy-user@lists.bx.psu.edu
Subject: 答复: [galaxy-user] Counts of mapped reads for each gene?

Hi Anto,

Thank you very much for your reply! I tried Galaxy/NBIC. However, I had
problem with uploading my files. I used FTP, because the file I had was
larger than 2G, but I couldn’t connect to the NBIC FTP. Do you have some
idea how to solve the problem? Thanks!

Yan

 

发件人: Anto Praveen Rajkumar Rajamani [mailto:a...@hum-gen.au.dk] 
发送时间: Thursday, August 22, 2013 3:14 PM
收件人: Yan He; galaxy-user@lists.bx.psu.edu
主题: RE: [galaxy-user] Counts of mapped reads for each gene?

 

Hi Yan, 

 

You may use the HTseq count wrapper in the http://galaxy.nbic.nl/.

It does a good job and I could employ edgeR on that count matrix.

Good luck.

 

Best wishes,

Anto

 

 

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Re: [galaxy-user] tool within a tool

2013-08-22 Thread Peter Cock
On Thu, Aug 22, 2013 at 12:07 AM, Ketan Maheshwari
ketancmaheshw...@gmail.com wrote:
 Hi,

 I am wondering if it is possible in Galaxy to design a tool whose sole
 purpose is to run other tools.

 This is motivated by our desire to enhance execution capabilities of
 existing tools via a generic tool which acts as a wrapper.


This sounds a bit like the idea of making a workflow into a
tool (or act in a tool like manor)... but I think you'd be better
off raising this question on the Galaxy Development list:
http://lists.bx.psu.edu/pipermail/galaxy-dev/

Peter
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[galaxy-user] Cuffdiff changes

2013-08-22 Thread Johanna Sandgren
Hi,

I am wondering why Cuffdiff suddenly gives many more significant DE genes?
I have used same input data and now get approx 5x more significant genes, 
settings is same with the exception that you now included library normalization 
and dispersion estimation. See below for parameters.
I have rerun several analysis, also with more samples in each group, all give 
much more significant genes. Why?

Also, will replicate information soon be included in output files?

Kind regards,
Johanna


Tool: Cuffdiff

Tool: Cuffdiff

Name:

Cuffdiff on data 225, data 236, and others: splicing differential expression 
testing

Name:

Cuffdiff on data 225, data 236, and others: splicing differential expression 
testing

Created:

4-Apr-13

Created:

21-Aug-13

Filesize:

10.3 MB

Filesize:

10.2 MB

Dbkey:

hg19

Dbkey:

hg19

Format:

tabular

Format:

tabular

Galaxy Tool Version:

0.0.5

Galaxy Tool Version:

0.0.5

Tool Version:

Tool Version:

Tool Standard Output:

stdouthttps://main.g2.bx.psu.edu/datasets/bbd44e69cb8906b5355e4a035e92cd84/stdout

Tool Standard Output:

stdouthttps://main.g2.bx.psu.edu/datasets/bbd44e69cb8906b524bcf7e585f495b1/stdout

Tool Standard Error:

stderrhttps://main.g2.bx.psu.edu/datasets/bbd44e69cb8906b5355e4a035e92cd84/stderr

Tool Standard Error:

stderrhttps://main.g2.bx.psu.edu/datasets/bbd44e69cb8906b524bcf7e585f495b1/stderr

Tool Exit Code:

0

Tool Exit Code:

0

API ID:

bbd44e69cb8906b5355e4a035e92cd84

API ID:

bbd44e69cb8906b524bcf7e585f495b1


Input Parameter

Value

Note for rerun

Input Parameter

Value

Transcripts

261: Cuffmerge on data 258, data 135, and others: merged transcripts

Transcripts

261: Cuffmerge on data 258, data 135, and others: merged transcripts

Perform replicate analysis

Yes

Perform replicate analysis

Yes

Group name

s202

Group name

s202

Add file

194: Galaxy883-[MarkDups_Dupes_Marked_882_202.bam].bam

Add file

194: Galaxy883-[MarkDups_Dupes_Marked_882_202.bam].bam

Group name

Ctrls

Group name

Ctrls

Add file

236: MarkDups_Dupes Marked216.bam

Add file

236: MarkDups_Dupes Marked216.bam

Add file

225: MarkDups_Dupes Marked206.bam

Add file

225: MarkDups_Dupes Marked206.bam

Library normalization method

not used (parameter was added after this job was run)

Library normalization method

geometric

Dispersion estimation method

not used (parameter was added after this job was run)

Dispersion estimation method

pooled

False Discovery Rate

0.05

False Discovery Rate

0.05

Min Alignment Count

2

Min Alignment Count

2

Perform quartile normalization

No

Perform quartile normalization

No

Use multi-read correct

Yes

Use multi-read correct

Yes

Perform Bias Correction

Yes

Perform Bias Correction

Yes

Reference sequence data

cached

Reference sequence data

cached

Set Additional Parameters? (not recommended)

Yes

Set Additional Parameters? (not recommended)

Yes

Average Fragment Length

200

Average Fragment Length

200

Fragment Length Standard Deviation

80

Fragment Length Standard Deviation

80



..
Johanna Sandgren, PhD
Department of Oncology-Pathology
CCK, Karolinska Institutet
SE-171 76 Stockholm, Sweden
+46-8-517 721 35 (office),
+46-8- 321047(fax), +46-708 388476 (mobile)

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Re: [galaxy-user] How to get random region of 1000-bp window in the chromosome not overlapping specific [gtf] file

2013-08-22 Thread Jennifer Jackson

Hello John,

Use Make windows with the sliding window option (for example, offset 
=1), then use Text Manipulation - Select random lines.


Best,

Jen
Galaxy team

On 8/22/13 7:06 AM, 师云 wrote:

Dear Galaxy develop team:
As the subject said, I need to obtain random  regions which are 
1000-bb, and then filter these regions to remove regions overlapping a 
specific [gtf] file. So can I obtain random regions with Galaxy?
I found (Regional Variation)-Make windows may help me, but the tool 
doesn't work at random.

bests
John


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[galaxy-user] Clip

2013-08-22 Thread William Yarosh
Hi,

I was using the clip program, but my adapters are on the 5' end.  Is there any 
way to use this program so it will clip the 5' end or a way to make all my 
reads the reverse complement and run it through this program?

Thanks
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Re: [galaxy-user] Clip

2013-08-22 Thread Jennifer Jackson

Hello,

The Clip program only acts on the 3' end. In some cases, running 
FastQC to isolate adapter regions, then using a tool like FASTQ 
Trimmer or Trim will work (if the lengths are somewhat fixed).


Alternately, the tools NGS: QC and manipulation - Reverse-Complement 
or Manipulate FASTQ will reverse compliment reads. For the second, the 
option is located in Manipulate Reads - Manipulate on 'Sequence 
Content' - Sequence Manipulation Type:. There are several options here, 
including trim again, but also Reverse Complement.


Hopefully this helps!

Jen
Galaxy team


On 8/22/13 12:03 PM, William Yarosh wrote:

Hi,

I was using the clip program, but my adapters are on the 5' end.  Is there any 
way to use this program so it will clip the 5' end or a way to make all my 
reads the reverse complement and run it through this program?

Thanks
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Re: [galaxy-user] How to get random region of 1000-bp window in the chromosome not overlapping specific [gtf] file

2013-08-22 Thread 师云
Hi Jen,

Thank you very much!

Best,
John


From: Jennifer Jackson 
Sent: Friday, August 23, 2013 12:21 AM
To: 师云 
Cc: galaxy-user@lists.bx.psu.edu 
Subject: Re: [galaxy-user] How to get random region of 1000-bp window in the 
chromosome not overlapping specific [gtf] file


Hello John,

Use Make windows with the sliding window option (for example, offset =1), 
then use Text Manipulation - Select random lines. 

Best,

Jen
Galaxy team


On 8/22/13 7:06 AM, 师云 wrote:

  Dear Galaxy develop team:

  As the subject said, I need to obtain random  regions which are 1000-bb, and 
then filter these regions to remove regions overlapping a specific [gtf] file. 
So can I obtain random regions with Galaxy?

  I found (Regional Variation)-Make windows may help me, but the tool doesn't 
work at random.

  bests
  John

   

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Re: [galaxy-user] Clip

2013-08-22 Thread Jennifer Jackson

Hello,

This Galaxy wrapper is based on the FASTX-Toolkit tool by the same name. 
A link to the original is at the bottom of the tool's form in the UI. To 
see the Galaxy wrapper, it is in the source here: galaxy-central / tools 
/ fastx_toolkit

https://bitbucket.org/galaxy/galaxy-central

Questions about the core tool can be directed to the tool author. Help 
with running a local Galaxy or tools in general is on the 
galaxy-...@bx.psu.edu mailing list: 
http://wiki.galaxyproject.org/Support#Mailing_Lists


If you create a new wrapper with more options, please consider 
contributing it to the Tool Shed, as this tool is super popular and the 
option for 5' clipping has come up before. 
http://wiki.galaxyproject.org/Tool%20Shed


Take care,

Jen
Galaxy team


On 8/22/13 12:58 PM, William Yarosh wrote:

Thanks,

I'm trying to figure out how to use these programs.

Do you know where I can get the source code for clip?  I think I can 
edit the program to look at the 5' end if I see it.


Will

On Aug 22, 2013, at 3:19 PM, Jennifer Jackson j...@bx.psu.edu 
mailto:j...@bx.psu.edu wrote:



Hello,

The Clip program only acts on the 3' end. In some cases, running 
FastQC to isolate adapter regions, then using a tool like FASTQ 
Trimmer or Trim will work (if the lengths are somewhat fixed).


Alternately, the tools NGS: QC and manipulation - 
Reverse-Complement or Manipulate FASTQ will reverse compliment 
reads. For the second, the option is located in Manipulate Reads - 
Manipulate on 'Sequence Content' - Sequence Manipulation Type:. 
There are several options here, including trim again, but also 
Reverse Complement.


Hopefully this helps!

Jen
Galaxy team


On 8/22/13 12:03 PM, William Yarosh wrote:

Hi,

I was using the clip program, but my adapters are on the 5' end.  Is there any 
way to use this program so it will clip the 5' end or a way to make all my 
reads the reverse complement and run it through this program?

Thanks
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http://galaxyproject.org




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http://galaxyproject.org

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[galaxy-user] exome-capture sequencing analysis tools?

2013-08-22 Thread Yan He
Hi Jen and other Galaxy-users,

 

I am working on exome-capture sequencing with NGS. I am wondering if there
is a tool to identify SNPs on Galaxy?  I would like to get SNP information
(position and allele frequency ) for each gene.   Any information is highly
appreciated! Thanks!

 

Best wishes,

Yan

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