meta SV sgvfiner2

69方法
标题:Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing
译文:全基因组测序SV检测方法评估
期刊:Genome biology 2019

sgvfinder2

标题:Structural variation in the gut microbiome associates with host health
译文:肠道菌群SV与宿主健康相关
期刊:Nature 2019

github: https://github.com/korem-lab/SGVFinder2

安装

# 环境
source /hwfsxx1/ST_HN/P18Z10200N0423/huty/software/miniconda3_2/etc/profile.d/conda.sh
conda activate sgvfinder2

conda install gcc=11 -c conda-forge # OK
conda install libgcc gxx_linux-64 -c conda-forge # OK
conda install python=3.10.12 # OK
conda install pandas=2.1.0 # 包含numpy
conda install Cython=3.0.2 ujson=5.8.0 pysam=0.21.0 # OK
conda install bowtie2 # 指定2.2.5会报错,默认下载2.5.3
conda install scipy=1.11.2 -c biconda # OK
conda install bokeh=3.2.2 -c bioconda # OK
#conda install Bio=1.5.9 # False
conda install biopython # python3 import Bio测试成功

pip install --no-cache-dir git+https://github.com/korem-lab/SGVFinder2.git
# 一次不行即,2次成功

export PATH="/hwfsxx1/ST_HN/P18Z10200N0423/huty/software/miniconda3_2/envs/sgvfinder2/bin":$PATH
svfinder -h
icra -h
# AssertionError: Cannot find `samtools` installation
conda install samtools

测试

svfinder -h
svfinder get_sample_map -h
svfinder work_on_collection -h
icra -h
icra single_file -h

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69 种基于全基因组测序数据分析结构变异的算法评估

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