Closed joshmoore closed 2 years ago
commit https://github.com/German-BioImaging/DT-demonstrator/commit/ee5c8a94aadee9949083a7d66778e014506f9a18 produces output of the form:
using a summary table as input from https://bmccancer.biomedcentral.com/articles/10.1186/s12885-020-6600-6#citeas
Newer script (723842d5b6290418754e7c583964cf60bb65f98c) prints all the genes that show mutations on the case pages (at the very bottom):
cc: @andrawaag
If I exclude "LOW" and "MODERATE" impact from the above (edc65d3995a87b80512291be9956612ec0fb780d), I get:
ADGRV1/HIGH (1) = TCGA-AN-A046
ARID1A/HIGH (1) = TCGA-5L-AAT1
BNIP5/HIGH (1) = TCGA-D8-A1XQ
CRACR2A/MODIFIER (1) = TCGA-BH-A18G
DDIAS/HIGH (1) = TCGA-EW-A2FV
DHX36/HIGH (1) = TCGA-A8-A09Z
EPHA8/MODIFIER (1) = TCGA-D8-A27G
FERMT3/HIGH (1) = TCGA-EW-A2FV
HIVEP1/HIGH (1) = TCGA-D8-A1J8
HYDIN/HIGH (1) = TCGA-3C-AALI
KIF27/HIGH (1) = TCGA-D8-A1JA
KMO/HIGH (1) = TCGA-A8-A09Z
LRP10/HIGH (1) = TCGA-A8-A09Z
LURAP1L/HIGH (1) = TCGA-EW-A2FV
MARCHF1/HIGH (1) = TCGA-BH-A0B6
NF1/HIGH (1) = TCGA-BH-A18G
PKHD1L1/HIGH (1) = TCGA-A8-A09Z
PLIN2/HIGH (1) = TCGA-AN-A046
POM121/HIGH (1) = TCGA-D8-A1XK
RYR1/HIGH (1) = TCGA-AC-A23H
SEMA6A/HIGH (1) = TCGA-EW-A2FV
SMCHD1/HIGH (1) = TCGA-AN-A046
TACR2/HIGH (1) = TCGA-EW-A2FV
TBRG1/HIGH (1) = TCGA-EW-A2FV
TERF2IP/HIGH (1) = TCGA-BH-A18G
TM9SF2/HIGH (1) = TCGA-EW-A2FV
WNK2/MODIFIER (1) = TCGA-BH-A2L8
ZHX1/HIGH (1) = TCGA-D8-A27G
ZNF800/HIGH (1) = TCGA-AN-A0AK
Added to https://german-bioimaging.github.io/dtqueries/data.html#tcga
Required parsing tabular data for "Negative" "Negative" "Negative"
Starting from "TNBC" find image resources on the TCGA portal along with related genetic markers