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A modular command-line solution for visualisation, quality control and taxonomic partitioning of genome datasets
git clone https://github.com/DRL/blobtools.git
cd blobtools
Create Conda environment and install dependencies
conda create -n blobtools conda activate blobtools conda install -c anaconda -c bioconda matplotlib docopt tqdm wget pyyaml git pysam
wget ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/taxdump.tar.gz -P data/ tar zxf data/taxdump.tar.gz -C data/ nodes.dmp names.dmp ./blobtools nodesdb --nodes data/nodes.dmp --names data/names.dmp
./blobtools create -i example/assembly.fna -b example/mapping_1.sorted.bam -t example/blast.out -o example/test && \ ./blobtools view -i example/test.blobDB.json && \ ./blobtools plot -i example/test.blobDB.json
./blobtools --help
A docker container can be build using the following command:
docker build -t drl/blobtools .
This docker image can be run with sample data as follows:
docker run -v $PWD/example:/example/ -t drl/blobtools ./blobtools create -i /example/assembly.fna -b /example/mapping_1.sorted.bam -t /example/blast.out -o /example/test
用于基因组组装后过滤和可视化的工具,可识别和去除污染序列
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BlobTools v1.1
A modular command-line solution for visualisation, quality control and taxonomic partitioning of genome datasets
Obtaining BlobTools
Enter directory
Install dependencies
Create Conda environment and install dependencies
Download NCBI taxdump and create nodesdb
Create blobplot
Usage
Docker
A docker container can be build using the following command:
This docker image can be run with sample data as follows: