Hi there!
apart from number of reads aligning and mean coverage after alignment, what other things are interesting to evaluate to see if a WGA experiment is gone OK?
for example, how can I evaluate whether I have long runs of zero coverage? is it possible to see alignment bias? I am not sure if it would be possible to get that just from visual inspection of all human chromosomes for example. Some kind of metrics or statistics or general graph.
Maybe dot plots are relevant in this case but how can it be done for a whole genome? I don't need comparison between genomes, but just evaluation of one sequenced genome
Thanks,
D.
apart from number of reads aligning and mean coverage after alignment, what other things are interesting to evaluate to see if a WGA experiment is gone OK?
for example, how can I evaluate whether I have long runs of zero coverage? is it possible to see alignment bias? I am not sure if it would be possible to get that just from visual inspection of all human chromosomes for example. Some kind of metrics or statistics or general graph.
Maybe dot plots are relevant in this case but how can it be done for a whole genome? I don't need comparison between genomes, but just evaluation of one sequenced genome
Thanks,
D.