I have the simplest task for a de novo assembler: to assemble a short bacterial 10kb plasmid without repeats from Illumina 90 bp long reads. The plasmid was sequenced on average 1,000 times over. I used default parameters on velvet and SeqMan NGen and couldn't get it assembled. Could anyone suggest an assembler and parameters that I could use for the task.
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I have a similar project to this one and I'm having trouble assembling my viral sequences which I'm expecting 10,000-100,000x coverage. Why does too much coverage produce a problem for de novo assembly?Originally posted by pmiguel View PostFirst throw away 90% of your reads. 1000x is too high.
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Phillip
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I think it is because random errors get repeated over and over and start to look like real base calls. This complicates the solution path through the assembly graph and you get many highly related but separate contigs. Philip is correct, get a sub-sample of your data and do the assembly. You know what your solution should look like (1 contig) so do an experiment with 10X, 20X, 30X, 50X, 100X and see what you get. The N50 value will get better and better as you add reads and should approach your largest contig size (which hopefully is close to 10kb). After some level of coverage the N50 will fall and your largest contig will get shorter. With a 10kb plasmid you'll probably peak at 30 or 50XOriginally posted by e.dobbs View PostI have a similar project to this one and I'm having trouble assembling my viral sequences which I'm expecting 10,000-100,000x coverage. Why does too much coverage produce a problem for de novo assembly?
Travis
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The guys writing the code probably did not see >100X coverage as a common use case. So it is not optimized for that read depth. Kind of like you order a dump truck full of mulch for your landscaping. If you get that much you landscape your lawn. But if an air craft carrier load of mulch gets dumped on you, it crushes your house and smothers you.Originally posted by e.dobbs View PostI have a similar project to this one and I'm having trouble assembling my viral sequences which I'm expecting 10,000-100,000x coverage. Why does too much coverage produce a problem for de novo assembly?
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Phillip
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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
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