Comments (3)
Thanks for interesting.
The inside consensus tool wtdbg-cns
aims to provide a quick way to reduce sequencing errors. It is suggested to use Quiver and/or Pilon to polish the consensus sequences after you feel happy with the assembly. Usually, wtdbg-cns
can reduce error rate down to less than 1%, which can be well-aligned by short reads.
BTW, the paper used strage parameters for wtdbg, limited to say wtdbg always ranked last, I had emailed the author just after its publish.
from wtdbg2.
Thank you for your reply!
Good to know the error rate of the wtdbg-cns
results.
BTW, I know wtdbg
and smartdenovo
through this paper. After trying several pipelines (Canu, MECAT, miniasm, MaSuRCA, Flye etc.), wtdbg
is the fastest and the best (at least the most satisfying N50) so far. I will use the results of wtdbg
for downstream analysis.
Thank you for your great tools again!
from wtdbg2.
Have a good luck!
from wtdbg2.
Related Issues (20)
- wtdbg2对杂合度以及重复序列敏感度的问题 HOT 1
- Parameters for assembling short sequences (generating small assemblies) HOT 2
- I dont find wtpoa-cns script
- Enquiry about the parameter "-m" HOT 3
- Wtdbg2: Parameter -g setting problem HOT 2
- Runtime Issue with warnings HOT 5
- wtpoa-cns polishing details HOT 9
- Different contig numbers and contig length generated! HOT 1
- Died at /home/synbiolab/SoftWares/wtdbg2/wtdbg2.pl line 25. HOT 2
- No such file: assembly.events HOT 4
- No Consensus ctg.fa file created HOT 5
- Ambiguous bases HOT 1
- adjustable parameters with --load-alignments HOT 3
- Only one sample or multiple samples can be used in wtdbg2? HOT 1
- C++/ Python library HOT 1
- ".cns.fa" output HOT 1
- contigN50 too small HOT 13
- CCS data assemble far too small HOT 4
- Recomendation for AT-high and very repetitive genome
- the estimate of running time HOT 1
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