Apclusterv: Refinement of Viral Genome Clustering with Affinity Propagation
Abstract
Background
Clustering
assemblies
is
a
fundamental
process
of
metagenomic
analysis.
In
an
era
where
researchers
from
variety
export
domains
are
conducting
heavy
efforts
on
viral
metagenomics,
unsupervised
clustering
becomes
critical
bioinformatics
tool
to
overcome
the
shortage
reference
genomes
with
known
taxonomy
information.
Results
Here
we
present
Apclusterv,
novel
software
for
genome
in
manner.
Our
pipeline
relies
gene
prediction
contigs
and
protein
sequence
alignment.
The
program
implemented
as
open-source
Python
package.
Apclusterv
integrates
two
procedures:
Markov
(MCL)
Affinity
Propagation
(AP).
MCL
AP
both
algorithms
that
can
determine
number
clusters
automatically.
Also,
they
display
great
synergy
our
work.
task
genomes,
algorithm
shows
significant
improvement
quality
obtained.
freely
available
at
https://github.com/hbyaoherbert/Apclusterv
Conclusions
Assemblies
reads
largely
incomplete.
resolves
limitation
short-reads
assembly
by
identifying
confident
local
alignments
through
self-adaptive
system.
give
accurate
genera-level
contigs,
which
subsequent
classification,
Operation
Taxonomy
Unit
(OUT)
construction,
or
gene-sharing
network

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский