FR, and around 200 (Id have to double check though).

On Wed, Sep 26, 2012 at 3:40 AM, Sébastien Boisvert
<sebastien.boisver...@ulaval.ca> wrote:
> 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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