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towards 2.3.2 + typos
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mikolmogorov committed Feb 19, 2018
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2 changes: 1 addition & 1 deletion README.md
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Flye assembler (successor of ABruijn)
=====================================

### Version: 2.3.1
### Version: 2.3.2

Flye is a de novo assembler for long and noisy reads, such as
those produced by PacBio and Oxford Nanopore Technologies.
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12 changes: 11 additions & 1 deletion docs/NEWS.md
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Flye 2.3 (04 Jan 2017)
Flye 2.3.2 (19 Feb 2018)
========================
* Better contiguity for larger genome assemblies
* Improvements in corrected reads mode
* Various bugfixes

Flye 2.3.1 (13 Jan 2018)
========================
* Minor release with a few bugs fixed

Flye 2.3 (04 Jan 2018)
======================

* ABruijn 2.x branch has been renamed to Flye, highlighting many substantial algorithmic changes
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8 changes: 4 additions & 4 deletions docs/USAGE.md
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Expand Up @@ -173,7 +173,7 @@ The final assembly graph is output into the ```assembly_graph.dot``` file.
It could be visualized using [Graphviz](https://graphviz.gitlab.io/):
```dot -Tpng -O assembly_graph.dot```. The edges in this graph
represent genomic sequences, and nodes simply serve
as junctions. The genoimc chromosomes traverse this graph (in an unknown way)
as junctions. The genomic chromosomes traverse this graph (in an unknown way)
so as each unique edge is covered exactly once. The genomic repeats that were not
resolved are collapsed into the corresponding edges in the graph
(therefore genome structure remain umbigious).
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## <a name="output"></a> Contigs/scaffolds output

Each contig is formed by a single uniqe edge and possibly multiple repetitive
Each contig is formed by a single unique edge and possibly multiple repetitive
edges and correponds to a genomic path through the graph.
Final contigs are output into the "contigs.fasta" file. Sometimes it is possible to
further order some contigs based on the assembly graph structure. In this case,
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## <a name="algorithm"></a> Algorithm Description

This is a brief description of the Flye algorithm. Plase refer to the manuscript
This is a brief description of the Flye algorithm. Please refer to the manuscript
for more detailed information. The assembly pipeline is organized as follows:

* Kmer counting / erronoeus kmer pre-filtering
* Kmer counting / erroneous kmer pre-filtering
* Solid kmer selection (kmers with sufficient frequency, which are unlikely to be erroneous)
* Finding read overlaps based on the A-Bruijn graph
* Detection of chimeric sequences
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2 changes: 1 addition & 1 deletion flye/__version__.py
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__version__ = "2.3.1"
__version__ = "2.3.2"

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