SASAR is a meta-assembly tool to reconcile different assemblies without a reference guide.
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git clone https://github.com/lh3/minimap2 cd minimap2 && make
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git clone https://github.com/lh3/gfatools cd gfatools && make
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git clone https://github.com/lh3/minigraph cd minigraph && make
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- biopython
- pandas
- pybedtools
# Install eihter by conda or pip conda install -c conda-forge biopython conda install -c bioconda pybedtools conda install -c anaconda pandas
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- A tool for Ultra-fast Sequence Clustering from Similarity Networks
- Make sure Boost libraries are also installed (for Ubuntu issue the following commands, requires root permissions)
sudo apt-get install libboost-dev sudo apt-get install libboost-program-options-dev
- Install SiLiX, requires root
wget ftp://pbil.univ-lyon1.fr/pub/logiciel/silix/silix-1.2.11.tar.gz tar zxvf silix-1.2.11.tar.gz cd silix-1.2.11 ./configure make make check sudo make install
Hi, I am writing phd thesis and I will have a new version by Decemver 15th 2021, try new version please !
usage: python SASAR.py in_dir
Long read assembly reconciliation
Positional arguments:
in_dir input directory containing all assemblies
Settings:
-t INT number of CPU threads for whole genome alignment
-i INT minimum identity confidence score [95]
-c INT minimum coverage confidence score [95]
-m INT minium overlap length [50000]
--repeat_size INT repeat size [50000]
Output options:
-o PATH output directory for SASAR-assembly [./SASAR_output]
Other:
-h, --help show this help message and exit
-v, --version show program's version number and exit
- D. melanogaster ISO1 (144Mb |ONT 66x)
- A. thaliana Col-0 (130Mb |ONT 130x)
- O. sativa Nipponbare IRGSP1 (380Mb |ONT 34x)
- O. sativa Nipponbare
- S. pennellii (0.9Gb |ONT 160x)
- F. ananassa (0.8Gb |PB HiFi 36x)
Copyright © 2020 Panpan Zhang ([email protected])
Any question, concern, or bug report about the program should be posted as an Issue on GitHub. Before posting, please check previous issues (both Open and Closed) to see if your issue has been addressed already. Also, please follow these good GitHub practices.