# Parameters
sample_name = "CN_PHT_RCPTR;A;GEO"
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019"
mitra_subdir = "report/version2"
task_dir = "task_154-naivegw"
database_name = "CISBP"
perf_file = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/fineFactorized/task_154-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. 2019-07-22 22:55:14,585 [WARNING] git-lfs not installed
display_metadata(sample_name, perf_file, reportfile, sheetname)
| MetaData Name | Description |
|---|---|
| Cell type | WT cone photoreceptors |
| Cell Group | Neural Cells and Tissues |
| Experiment Name | ATAC |
| Experiment Group | GEO |
| 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 | 148954 | 114410 | 21.7676 | 30932642 | 9609091 | 0.3108 | 6967520 | 0.2254 | 11652073 | 0.3769 |
| rep2 | 148954 | 114410 | 23.1075 | 27082405 | 8207576 | 0.3033 | 6123020 | 0.2262 | 10108202 | 0.3735 |
| Metric | Value |
|---|---|
| auPRC | 0.6428 |
| Calibrated Recall at 50% FDR | 0.235 |
| Number of Positive Examples in Test Data | 117598 |
| Number of Negative Examples in Test Data | 7953253 |
| Imbalance Ratio in Test Data | 0.0146 |
| 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 | ||
| Ctcf | ||
| Crx |
| Motif Name | Modisco | Homer |
|---|---|---|
| Rora | absent | |
| Atoh1 | absent | |
| Rfx8 | absent | |
| Jdp2 | absent | |
| Irf1 | absent | |
| Mef2d | absent | |
| Foxi1 | absent | |
| Bach2 | absent | |
| Tbpl2 | absent | |
| Ets1 | absent | |
| Smarcc2 | absent | |
| Sp3 | absent | |
| Hsf1 | absent |
| Motif Name | Modisco | Homer |
|---|---|---|
| Elk3 | absent | |
| Zfp143 | absent | |
| Rax | absent | |
| Sp2 | absent | |
| Maz | absent | |
| Tcfeb | 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_154-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_154-naivegw/ chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_154-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_154-naivegw/cisbp_tomtomout /srv/www/kundaje/msharmin/report/version2/task_154-naivegw/ chmod -R +755 /srv/www/kundaje/msharmin/report/version2/task_154-naivegw Displaying motifs which has negative importances for the cell type