Question: Tool For Taxonomy Classification Of Assembled Illumina Reads
0
gravatar for deepthithomaskannan
6.8 years ago by
Canada
deepthithomaskannan320 wrote:

Hello all,

I have assembled(using velvet) illumina contigs for taxonomic classification. Is there any tool which can do the taxonomic classification of assembled illumina reads.

I tried MEGAN. But MEGAN is only considering the read counts. I also want to take the coverage information of each contig in to consideration.

Please give me some advise here.

Thanks, Deepthi

illumina taxonomy • 2.4k views
ADD COMMENTlink modified 6.8 years ago by Istvan Albert ♦♦ 83k • written 6.8 years ago by deepthithomaskannan320

doesn't the MEGAN tool use the output of a Blast to determine the taxonomical rank? What I am saying is that MEGAN is not a classifier it only processes alignment outputs that you create with other tools

ADD REPLYlink written 6.8 years ago by Istvan Albert ♦♦ 83k

You are right. I gave blastn(contig file against nt DB) file as the input of MEGAN. MEGAN is giving me some output. Since the reads are assembled contigs the weight of each contig will be different according to the coverage. Hence the output of MEGAN will not be correct. I want to do oraganism detection and % of each organism etc using metagenomic illumina sequences.

ADD REPLYlink written 6.8 years ago by deepthithomaskannan320

Why not just use raw reads then?

ADD REPLYlink written 6.8 years ago by gammyknee200

I tried raw reads. One: It is taking so much time to complete blastn. Two: Results are no better. Three. blastn files are so big. I am trying with other tools other than MEGAN.

ADD REPLYlink written 6.8 years ago by deepthithomaskannan320
1
gravatar for Istvan Albert
6.8 years ago by
Istvan Albert ♦♦ 83k
University Park, USA
Istvan Albert ♦♦ 83k wrote:

The MEGAN paper describes the method that they use to assign taxonomical ranks.

If I remember it correctly it is a very simplistic majority win, perhaps weighted by alignment length.

I would say that the approach is more suitable for short read alignments where there aren't many competing options. For long contigs it is hard to accept that their method is anything but a rough approximation.

But in lieu of better option is as good as it gets.

ADD COMMENTlink modified 6.8 years ago • written 6.8 years ago by Istvan Albert ♦♦ 83k
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