hello,
I built a database based on 600 microbial genomes, with the. fasta file size of 1.89GB. After running icra on 304 samples based on the database, each sample obtained 5 files, which are bam (15GB20GB),.jsdel (62Bytes15KB),.jspi (55Bytes),.pmp(1.5GB~2.0GB),.smp(5Bytes). But after running from SGVFinder2 import work_on_collection, the vsgv. csv and dsgv. csv obtained are empty. Here is my running code:
DATABASE = '/home/data/zhangcg/Metagenome/sgvfinder2/my_db/all_db'
from SGVFinder2 import work_on_collection
vsgv, dsgv = work_on_collection(
samp_to_map='/home/data/zhangcg/Metagenome/sgvfinder2/icra/',
max_spacing=10,
min_samp_cutoff=2,
delsdetectthresh=0.25,
real_del_thresh=0.95,
dels_cooc_thresh=0.25,
vsgv_dissim_thresh=0.125,
vsgv_clip_quantile=0.02,
vsgv_fit_interval=0.95,
vsgv_fit_method='betaprime',
x_coverage=0.01,
rate_param=10,
vsgv_dense_perc=85,
browser_path=None,
taxonomypath=DATABASE+'.taxonomy.df',
genepospath=DATABASE+'genepos.df',
frames_path=None
)
vsgv.to_csv('vsgv_example.csv')
dsgv.to_csv("dsgv_example.csv")
I would like to know if there is any way to obtain results that can be used for analysis. Is it due to my running error, or is there a problem with the data and database itself
hello,
I built a database based on 600 microbial genomes, with the. fasta file size of 1.89GB. After running icra on 304 samples based on the database, each sample obtained 5 files, which are bam (15GB
20GB),.jsdel (62Bytes15KB),.jspi (55Bytes),.pmp(1.5GB~2.0GB),.smp(5Bytes). But after running from SGVFinder2 import work_on_collection, the vsgv. csv and dsgv. csv obtained are empty. Here is my running code:DATABASE = '/home/data/zhangcg/Metagenome/sgvfinder2/my_db/all_db'
from SGVFinder2 import work_on_collection
vsgv, dsgv = work_on_collection(
samp_to_map='/home/data/zhangcg/Metagenome/sgvfinder2/icra/',
max_spacing=10,
min_samp_cutoff=2,
delsdetectthresh=0.25,
real_del_thresh=0.95,
dels_cooc_thresh=0.25,
vsgv_dissim_thresh=0.125,
vsgv_clip_quantile=0.02,
vsgv_fit_interval=0.95,
vsgv_fit_method='betaprime',
x_coverage=0.01,
rate_param=10,
vsgv_dense_perc=85,
browser_path=None,
taxonomypath=DATABASE+'.taxonomy.df',
genepospath=DATABASE+'genepos.df',
frames_path=None
)
vsgv.to_csv('vsgv_example.csv')
dsgv.to_csv("dsgv_example.csv")
I would like to know if there is any way to obtain results that can be used for analysis. Is it due to my running error, or is there a problem with the data and database itself