Dear all,
I made a denovo assembly of a paired-end ddRAD dataset without any reference genome nor previous genomic knowledge. As you know, a good practice is to make several assembly using different parameters (such as -n -m -M in Stacks), to find the settings that best fits your data and needs. I would kindly ask you if you have any suggestions on how to qualify the diverse assemblies without any reference genome and generations (usually used to estimate the error), if there is any software (quast tool?) you would reccomend.
Thank you in advance,
Regards
Francesca
I made a denovo assembly of a paired-end ddRAD dataset without any reference genome nor previous genomic knowledge. As you know, a good practice is to make several assembly using different parameters (such as -n -m -M in Stacks), to find the settings that best fits your data and needs. I would kindly ask you if you have any suggestions on how to qualify the diverse assemblies without any reference genome and generations (usually used to estimate the error), if there is any software (quast tool?) you would reccomend.
Thank you in advance,
Regards
Francesca
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