Hello,

What is the strand orientation of your fosmid data ?

And what is the expected insert size (including both read lengths and
gap) ?

On 25/09/12 07:07 PM, Adam Caldwell wrote:
> On Mon, Sep 24, 2012 at 12:44 PM, Sébastien Boisvert
> <sebastien.boisver...@ulaval.ca> wrote:
>> Hello,
>>
>> On 24/09/12 03:30 PM, Adam Caldwell wrote:
>>> On Mon, Sep 24, 2012 at 5:47 AM, Sébastien Boisvert
>>> <sebastien.boisver...@ulaval.ca> wrote:
>>>> Hello,
>>>>
>>>> On 22/09/12 01:28 AM, Adam Caldwell wrote:
>>>>> Is there any documentation for the metagenomic assembly abilities of
>>>>> Ray? I couldnt find any.
>>>>
>>>> We have a paper that we need to resend in revised form about Ray Méta (de 
>>>> novo
>>>> metagenome assembly) and Ray Communities (biological abundances and 
>>>> taxonomic profiling).
>>>>
>>>>> The reason I ask is it performs surprisingly
>>>>> poorly on my data.
>>>>
>>>> What type of data exactly ?
>>>
>>> These are pools of several hundred fosmids (~40kb pieces), sequenced
>>> with Illumina. They are 2x75bp, paired end. While this is similar to a
>>> metagenomic project in that there are hundreds on different species
>>> sequenced together, each clone should have roughly equal coverage. I
>>> have good assemblies with Velvet/MetaVelvet and ABySS, so it is
>>> curious that Ray doesnt come close, when it works so well for single
>>> genomes.
>>>
>>
>> What k-mer length are you using ?
>>
>> Does Ray detect paired information correctly for your input data
>>  (look in LibraryStatistics.txt)
> 
> I tried 31 and 41, with 41 giving slightly better results. Paired
> reads seem to be detected:
> 
> NumberOfPairedLibraries: 1
> 
> LibraryNumber: 0
>  InputFormat: TwoFiles,Paired
>  DetectionType: Automatic
>  File: reads_archive/lane1a_reads/lane1a_novec_paired.1.fastq
>   NumberOfSequences: 7595472
>  File: reads_archive/lane1a_reads/lane1a_novec_paired.2.fastq
>   NumberOfSequences: 7595472
>  Distribution: lane1a_ray41/Library0.txt
>  Peak 0
>   AverageOuterDistance: 93
>   StandardDeviation: 33
> 
>>
>>> I take it from your response, there is no specific flag to enable a
>>> metagenomic mode? Does Ray somehow detect whether a sample is single
>>> or metagenome, or has the algorithm just been tuned to handle both
>>> types equally well?
>>>
>>
>> Indeed, the new code handles both single-genome multiple-cell assembly and
>> multiple-genome multiple-cell assemblies.
>>
>> It is a generalization, if you will.
> 
> Seems there isnt much I can do, then. Not really a worry, I was just
> trying to evaluate an assortment of assemblers for this project, and
> it seems others are better suited.
> 
>>
>>>>
>>>>> Multiple other assemblers had a N50 an order of
>>>>> magnitude higher, and largest contigs over twice as long.
>>>>>
>>>>> I am assuming I am missing something, or perhaps its not completely
>>>>> implemented? Im using Ray cloned from git today.
>>>>>
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>>>>
>>>>
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