In [1]:
# Parameters
sample_name = "RTN;A;GEO"
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019"
mitra_subdir = "report/version2"
task_dir = "task_104-naivegw"
database_name = "CISBP"
perf_file = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/fineFactorized/task_104-naivegw/NaiveauPRC.txt"
homer_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_scans"
In [2]:
from matlas.modisco_report import modisco_report_pipeline, display_metadata
reportfile= "/mnt/lab_data/kundaje/msharmin/mouse_hem/with_tfd/full_mouse50/filtering samples_MS2.xlsx"
sheetname = "filter23"
load data from labcluster
Using TensorFlow backend.
2019-07-22 20:26:31,755 [WARNING] git-lfs not installed
In [3]:
display_metadata(sample_name, perf_file, reportfile, sheetname)
    Sample Information
    MetaData NameDescription
    Cell typeWT retina
    Cell GroupNeural Cells and Tissues
    Experiment NameATAC
    Experiment GroupGEO
    Pipeline Output
    replicateNaïve overlap peaksIDR peaksTSS enrichment (< 8 is very poor <10 is low)Final number of unique mapping, dup-filtered, chrM filtered readsNumber of reads in called peak regionsFraction of reads in called peak regionsNumber of reads in promoter regionsFraction of reads in promoter regionsNumber of reads in enhancer regionsFraction of reads in enhancer regions
    rep114987710826416.8813925784993881080.239277724260.1981144826890.3691
    rep214987710826414.30947859418120369710.251697129320.203179599260.3754
    Modelling Metadata
    MetricValue
    auPRC0.6368
    Calibrated Recall at 50% FDR0.185
    Number of Positive Examples in Test Data113072
    Number of Negative Examples in Test Data7957779
    Imbalance Ratio in Test Data0.014
    Test Chromosomeschr2, chr3, chr19
In [4]:
from matlas.modisco_report import display_comparative_motif_sets
display_comparative_motif_sets(sample_name, homer_root, modisco_root)
TF-MoDISco is using the TensorFlow backend.
Number of CISBP motifs obtained by TF-MoDISco and Homer-denovo
Shared Motifs
Motif NameModiscoHomer
Sp3
Ctcf
Tcfeb
Unique TF-MoDISco Motifs
Motif NameModiscoHomer
Crxabsent
Rfx1absent
Sp2absent
Atoh1absent
Mbtps2absent
Smarcc2absent
Foxi1absent
Hsf1absent
Rfx8absent
Jdp2absent
Roraabsent
Mef2dabsent
Gabpaabsent
Unique Homer Motifs
Motif NameModiscoHomer
Mazabsent
Gsc2absent
Hes7absent
Erfabsent
Pbx3absent
Zfp143absent
In [5]:
modisco_report_pipeline(sample_name, modisco_root, mitra_subdir, task_dir, database_name, 
                        importance=True, render=True)
rsync -t -av /srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019/task_104-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_104-naivegw/
chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_104-naivegw
Displaying motifs which has positive importances for the cell type
metacluster_0, # patterns: 19, # seqlets: 24205, Positive for: RTN;A;GEO
In [6]:
modisco_report_pipeline(sample_name, modisco_root, mitra_subdir, task_dir, database_name, 
                        importance=False, render=True)
rsync -t -av /srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019/task_104-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_104-naivegw/
chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_104-naivegw
No motifs with negative importance