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Miniasm is a very fast OLC-based *de novo* assembler for noisy long
reads. It takes all-vs-all read self-mappings (typically by minimap)
as input and outputs an assembly graph in the GFA format. Different
from mainstream assemblers, miniasm does not have a consensus step. It
simply concatenates pieces of read sequences to generate the final
unitig sequences. Thus the per-base error rate is similar to the raw
input reads.
So far miniasm is in early development stage. It has only been tested
on a dozen of PacBio and Oxford Nanopore (ONT) bacterial data
sets. Including the mapping step, it takes about 3 minutes to assemble
a bacterial genome. Under the default setting, miniasm assembles 9 out
of 12 PacBio datasets and 3 out of 4 ONT datasets into a single
contig.
Miniasm confirms that at least for high-coverage bacterial genomes, it
is possible to generate long contigs from raw PacBio or ONT reads
without error correction. It also shows that minimap can be used as a
read overlapper, even though it is probably not as sensitive as the
more sophisticated overlapers such as MHAP and DALIGNER. Coupled with
long-read error correctors and consensus tools, miniasm may also be
useful to produce high-quality assemblies.
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