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    <title>Gmane</title>
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    <link>http://gmane.org</link>
  </image>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/527">
    <title>Re: Ray Cluster MPI error in Running?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/527</link>
    <description>&lt;pre&gt;Well, the error tells you what the problem is:) you really need mpi, and 
mpd running. So install MPICH2.After installing it, just type "mpd &amp;amp;" 
and try again running ray.

On Fri, May 24, 2013 at 11:39 AM, Rick White &amp;lt;raw937-Re5JQEeQqe8AvxtiuMwx3w&amp;lt; at &amp;gt;public.gmane.org 
&amp;lt;mailto:raw937-Re5JQEeQqe8AvxtiuMwx3w&amp;lt; at &amp;gt;public.gmane.org&amp;gt;&amp;gt; wrote:

    It appeared the install went well but then I got this error on my
    ubuntu server.

    cannot connect to local mpd (/tmp/mpd2.console_labop); possible causes:
       1. no mpd is running on this host
       2. an mpd is running but was started without a "console" (-n option)
    In case 1, you can start an mpd on this host with:
         mpd &amp;amp;
    and you will be able to run jobs just on this host.
    For more details on starting mpds on a set of hosts, see
    the MPICH2 Installation Guide.

    Does any one have a quick fix? Or patch to fix it?

    Want to start running Ray!

    Cheers
    Rick

    -- 
    Richard Allen White III M.S.
    PhD Candidate - Suttle Lab
    &lt;/pre&gt;</description>
    <dc:creator>Adrian Pelin</dc:creator>
    <dc:date>2013-05-24T19:48:47</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/526">
    <title>Re: Ray Cluster MPI error in Running?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/526</link>
    <description>&lt;pre&gt;


&lt;/pre&gt;</description>
    <dc:creator>Rick White</dc:creator>
    <dc:date>2013-05-24T19:43:50</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/525">
    <title>Re: Error with Ray install?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/525</link>
    <description>&lt;pre&gt;
Let's say you installed Ray in /the/path/to/Ray.

Your PATH need to contain this information.

Usually, this is done with:

PATH=/the/path/to/Ray:$PATH


Ray Meta is the collective name for the changes made to the de novo assembly algorithms.

See "From Ray to Ray Meta" in http://genomebiology.com/2012/13/12/R122#sec3



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-24T14:49:59</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/524">
    <title>Re: Error with Ray install?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/524</link>
    <description>&lt;pre&gt;
The executable has to be in your path on every node.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-24T14:45:59</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/523">
    <title>How to analyze Ray-meta Results</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/523</link>
    <description>&lt;pre&gt;Hi,

I have used Ray-meta for assembling some bacterial fastq sample. I am very
eager to learn to analyze the results obtained from Ray-meta. Is there any
tool to analyze
Ray-meta results?. I am looking forward to hear from you.

Regards
Rajadurai
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    <dc:creator>Raja durai</dc:creator>
    <dc:date>2013-05-22T07:22:53</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/522">
    <title>Re: Ray et assemblages bactériens</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/522</link>
    <description>&lt;pre&gt;
So the problem is reproducible ?

Is the datat public ?



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-21T17:36:47</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/521">
    <title>Re: Ray et assemblages bactériens</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/521</link>
    <description>&lt;pre&gt;[CC'ed to the list]

Hello,

On 14/05/13 01:18 PM, David Hernandez wrote:

OK. I remember your name from the Edena paper which showed that overlap-layout-consensus
works on short reads too [1].


Which MPI library are you using ?


So is the part missing consistentely in every assembly ?



Can you try the following script on your CoverageDistribution.txt file ?


https://github.com/sebhtml/NGS-Pipelines/blob/master/Calculate-Genome-Size.py


(You can get a copy of this tool with "git clone git://github.com/sebhtml/NGS-Pipelines.git").


This will estimate the genome size using kmer frequencies. It is quite accurate.



Otherwise, this is a typical use case for Ray Cloud Browser to help understand what is going on.

See:

http://browser.cloud.raytrek.com/client/?map=3&amp;amp;section=0&amp;amp;region=9&amp;amp;location=0&amp;amp;depth=10&amp;amp;zoom=1.2255452109421872


---
[1] http://genome.cshlp.org/content/18/5/802.long




------------------------------------------------------------------------------
AlienVault Unified Security Management (US&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-15T14:12:13</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/520">
    <title>Re: Segmentation Fault during assembly of metatranscriptome</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/520</link>
    <description>&lt;pre&gt;
Does it work if you omit the -amos option ?


So the problem occurs when receiving a message during the computation.


Which version of Ray are you using ?

How many reads do you have ?



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-10T21:25:50</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/519">
    <title>Re: A question on a Ray warning</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/519</link>
    <description>&lt;pre&gt;
Yes, this is done at compilation.


You need to recompile the software.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-10T21:19:22</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/518">
    <title>Re: about assessment of metagenomeassemblies</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/518</link>
    <description>&lt;pre&gt;
In our paper, we aligned all the assembled contigs to the set of sequences using MUMmer.
We did not clasify contigs before alignment because MUMmer reports maximum unique matches.

See Section "Validation of assemblies" in our paper [1].

---
[1] http://genomebiology.com/2012/13/12/R122



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-10T15:38:31</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/517">
    <title>Re: about assessment of metagenomeassemblies</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/517</link>
    <description>&lt;pre&gt;
We actually verified the assembly quality in our paper [1] for the 100-genome metagenome and for the 1000-genome
metagenome (in the Results section).



---
[1] http://genomebiology.com/2012/13/12/R122

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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-10T14:49:33</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/516">
    <title>Segmentation Fault during assembly ofmetatranscriptome</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/516</link>
    <description>&lt;pre&gt;Hello,
I recently started using Ray in an attempt to assemble a metatranscriptome.
 I have tried multiple assemblies and repeatedly get a segmentation fault.
 The fault happens after contigs are written and the AMOS file is
generated, however I don't think Ray gets to the scaffolding stage or any
downstream plugins (gene ontology, etc...).  Below is my RayCommand.txt
file and the last few lines of stdout showing the segfault.

RayCommand.txt
###################################
mpiexec -n 25 Ray \                 # This was also run with "--mca btl
^sm" and the same segfault
 -p \
 TAH-19.1_rejected_reads.fastq \
 TAH-19.2_rejected_reads.fastq \
 -p \
 TAH-20.1_rejected_reads.fastq \
 TAH-20.2_rejected_reads.fastq \
 -p \
 TAH-21.1_rejected_reads.fastq \
 TAH-21.2_rejected_reads.fastq \
 -p \
 TAH-22.1_rejected_reads.fastq \
 TAH-22.2_rejected_reads.fastq \
 -p \
 TAH-23.1_rejected_reads.fastq \
 TAH-23.2_rejected_reads.fastq \
 -p \
 TAH-24.1_rejected_reads.fastq \
 TAH-24.2_rejected_reads.fastq \
 -o \
 ray&lt;/pre&gt;</description>
    <dc:creator>Cedar Hesse</dc:creator>
    <dc:date>2013-05-09T21:58:04</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/515">
    <title>Re: Ray Meta</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/515</link>
    <description>&lt;pre&gt;
I think you should use paired reads for your tutorial (you have Illumina data).

Ray is much better with paired reads.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-08T18:04:41</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/514">
    <title>Re: Ray Meta</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/514</link>
    <description>&lt;pre&gt;
Yes.

The Ray executable is generalized to work on multi-cell single-genome samples
and on multi-cell multiple-genome samples.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-05-03T15:31:44</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/513">
    <title>Re: your Ray job</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/513</link>
    <description>&lt;pre&gt;
IN your case, I think you should contact the helpdesk of your supercomputer center as the problem
really seems to be in the job submission process, not in Ray.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-04-29T18:09:05</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/512">
    <title>Re: Error?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/512</link>
    <description>&lt;pre&gt;Hi

I am using
Intel i-Dataplex
88 nœuds de calcul IBM dx360 M3 intégrés dans 42 châssis IBM 2U Flex.  
Chaque nœud de calcul proposé est configuré comme suit :
• 2 processeurs SIX CORE INTEL (WESTMERE) cadencés à 2.66GHz
• 24 Go de mémoire vive DDR3 1066 Mhz
• 1 carte Infiniband 40 Gb/s (passage de message + système de fichier)

Marcelino
= 
= 
= 
= 
========================================================================
             oOOOOo             Marcelino Suzuki,  Assoc. Professor,  
Intl.  Chair, Platform Responsible
           oOOO              Univ Pierre Marie Curie (Paris 6) -  
Observatoire Océanologique de Banyuls
        oOOOOOo.                       UMR 7621 - Laboratoire  
d'Océanographie Microbienne (LOMIC)
     .oOOOOOOOo.                        Marine Biodiversity and  
Biotechnology (bio2mar) Platform
   .oOOOOOOOOOoo.      suzuki-1udt5kSnSqfnUm+lbSL22w&amp;lt; at &amp;gt;public.gmane.org    http://bit.ly/fq3nbE   
bio2mar.obs-banyuls.fr
.oOOOOOOOOOOOooooo.   Ave du Fontaulé,&lt;/pre&gt;</description>
    <dc:creator>Marcelino Suzuki</dc:creator>
    <dc:date>2013-04-29T17:39:02</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/511">
    <title>Re: Ray assembly</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/511</link>
    <description>&lt;pre&gt;[Please CC the mailing list]

On 24/04/13 12:33 PM, Alison Cloutier wrote:

With such a huge amount of data, you should not be collapsing all the files in 3 huge files.


Ray will perform better if you provide it with your overlapping paired reads because its heuristics for paired reads
are much better than its heuristics for single-end reads.


Do you have 5 independant unrelated samples or you have 5 HiSeq runs for the same sample ?



Oh I see. You did these small assemblies to weed out contaminations, right ?


That's not a lot considering that you had 5 HiSeq runs (on HiSeq 2000 run is 6 000 000 000 sequences), unless you are talking about partial
HiSeq runs.


Again, Ray will perform better with the non-merged version of these pairs.


You should update to Ray v2.2.0 as it has an adaptive Bloom filter that will take lower the memory usage of sequencing errors.


It depends if you get a bad latency.

What are the first few lines of NetworkTest.txt ?



Where exactly is Ray stalling on your dataset ? (Yo&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-04-29T17:24:59</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/510">
    <title>Re: OpenAssembler et RAY</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/510</link>
    <description>&lt;pre&gt;

Optimal read markers are read markers as described by Daniel Zerbino in his PhD thesis.

=&amp;gt; http://www.ebi.ac.uk/sites/ebi.ac.uk/files/shared/documents/phdtheses/daniel_zerbino.pdf

=&amp;gt; http://www.homolog.us/blogs/2013/01/05/optimal-assembly-for-high-throughput-shotgun-sequencing/





No­. You should get acquainted first with de novo genome assembly.

A seminal work in the field include:

* http://www.pnas.org/content/98/17/9748.full

A nice and accessible review:

* http://www.nature.com/nmeth/journal/v6/n11s/abs/nmeth.1376.html


Then, you can read the Ray-related papers:

* http://genomebiology.com/2012/13/12/R122

* http://online.liebertpub.com/doi/abs/10.1089/cmb.2009.0238




-Sébastien

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    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-04-29T16:17:51</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/509">
    <title>Re: question</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/509</link>
    <description>&lt;pre&gt;[Please use the mailing list]

On 26/04/13 08:30 AM, Marcelino Suzuki wrote:

No. it is distributed across the allocated ranks.


The -amos option will do a lot of input/output operations­.


Which version of Ray are you using ?

What type of cluster are you using ?




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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-04-29T16:10:35</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/508">
    <title>Re: Error?</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/508</link>
    <description>&lt;pre&gt;
Can you provide your command line for your 2-node job for which you are
experiencing problems ?

Also, which version are you using ? v2.2.0 has a lot of bug fixes under the hood.



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&lt;/pre&gt;</description>
    <dc:creator>Sébastien Boisvert</dc:creator>
    <dc:date>2013-04-29T15:50:38</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/507">
    <title>Re: your Ray job</title>
    <link>http://permalink.gmane.org/gmane.science.biology.ray-genome-assembler/507</link>
    <description>&lt;pre&gt;Well, seeing this post, I am a bit worried about my jobs, since using  
loadleveler in an idataplex cluster, I don't see the outputs from  
different rank numbers, but they all are labeled Rank 0. In fact with  
two tasks only two of the -output-filenames are written to and both  
gave labels Rank 0.  Is this only a difference of the clusters or am I  
missing something?

#!/bin/sh
# &amp;lt; at &amp;gt; job_name = crambe_ray
# &amp;lt; at &amp;gt; output = $(job_name).out
# &amp;lt; at &amp;gt; error = $(job_name).err

# &amp;lt; at &amp;gt; job_type = mpich
# &amp;lt; at &amp;gt; node = 2
# &amp;lt; at &amp;gt; total_tasks = 16
# &amp;lt; at &amp;gt; restart = yes


# &amp;lt; at &amp;gt; wall_clock_limit = 60:00:00,59:55:00
# &amp;lt; at &amp;gt; queue

mpirun -np $LOADL_TOTAL_TASKS -output-filename cr -machinefile  
$LOADL_HOSTFILE /work/OOBMECO/bin/ray/Ray -read-write-checkpoints  
checkpoints -k 31  -amos -o crambe.3 -s /scratch/suzukim/mira/ 
CCB1a.fastq -search /scratch/suzukim/NCBI-taxonomy/NCBI-Eukaryote- 
Genomes -search /scratch/suzukim/NCBI-taxonomy/NCBI-Finished-Virus- 
Genomes -search /scratch/suzukim/NCBI-taxonomy/NCBI-Draft-Bacteria- 
Genomes -search  /scratc&lt;/pre&gt;</description>
    <dc:creator>Marcelino Suzuki</dc:creator>
    <dc:date>2013-04-23T21:38:15</dc:date>
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