# Parameters
sample_name = "LRG_INTSTN;8wks;D;En"
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019"
mitra_subdir = "report/version2"
task_dir = "task_263-naivegw"
database_name = "CISBP"
perf_file = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/fineFactorized/task_263-naivegw/NaiveauPRC.txt"
homer_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_scans"
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. 2019-07-23 04:33:37,898 [WARNING] git-lfs not installed
display_metadata(sample_name, perf_file, reportfile, sheetname)
| MetaData Name | Description |
|---|---|
| Cell type | Large Intestine (adult-8wks) |
| Cell Group | Other Tissues |
| Experiment Name | DHS |
| Experiment Group | ENCODE |
| replicate | Naïve overlap peaks | IDR peaks | TSS enrichment (< 8 is very poor <10 is low) | Final number of unique mapping, dup-filtered, chrM filtered reads | Number of reads in called peak regions | Fraction of reads in called peak regions | Number of reads in promoter regions | Fraction of reads in promoter regions | Number of reads in enhancer regions | Fraction of reads in enhancer regions |
|---|---|---|---|---|---|---|---|---|---|---|
| rep1 | 128555 | 89436 | 13.7414 | 28452865 | 5943400 | 0.209 | 3068618 | 0.1079 | 11561382 | 0.4066 |
| rep2 | 128555 | 89436 | 8.1363 | 34306706 | 4833668 | 0.141 | 3515261 | 0.1025 | 13470984 | 0.3929 |
| Metric | Value |
|---|---|
| auPRC | 0.5549 |
| Calibrated Recall at 50% FDR | 0.233 |
| Number of Positive Examples in Test Data | 115692 |
| Number of Negative Examples in Test Data | 7955159 |
| Imbalance Ratio in Test Data | 0.0143 |
| Test Chromosomes | chr2, chr3, chr19 |
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.
| Motif Name | Modisco | Homer |
|---|---|---|
| Mbtps2 | ||
| Fos | ||
| Hnf4g | ||
| Irf1 | ||
| Pbx3 | ||
| Ehf | ||
| Nfia | ||
| Sp3 | ||
| Ctcf |
| Motif Name | Modisco | Homer |
|---|---|---|
| Hoxb9 | absent | |
| Smarcc2 | absent | |
| Hsf1 | absent | |
| Klf1 | absent | |
| Rfx8 | absent | |
| Rfx1 | absent | |
| Tcfec | absent | |
| Grhl1 | absent | |
| Creb3 | absent | |
| Sp5 | absent | |
| Foxa1 | absent | |
| Foxp4 | absent |
| Motif Name | Modisco | Homer |
|---|---|---|
| Zfp143 | absent | |
| Hoxa11 | absent | |
| Srebf2 | absent | |
| Tcfcp2 | absent |
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_263-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_263-naivegw/ chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_263-naivegw Displaying motifs which has positive importances for the cell type
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_263-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_263-naivegw/ chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_263-naivegw Displaying motifs which has negative importances for the cell type