Closed BinglanLi closed 3 years ago
Did you generate your own weight database?
No, I was using the UTMOST database in ./sample_data/weight_db_GTEx/ named after tissue.db.
On Mon, Jun 17, 2019 at 4:30 PM Zhaolong(Jerome) Yu < notifications@github.com> wrote:
Did you generate your own weight database?
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-- Binglan Li Ph.D. candidate, Genomics and Computational Biology University of Pennsylvania, Ritchie Lab Mail: binglan.li@pennmedicine.upenn.edu
For some iterations, the program will take a longer time to run. Which environment are you using?
I am using linux with python 2.7.14. And I don't think there is any iteration. The output says the following,
INFO - Loading Weights
INFO - Building files
INFO - Ran successfully However, there was nothing in the output covariance file as if no computation has been run.
On Tue, Jun 18, 2019 at 8:30 AM Zhaolong(Jerome) Yu < notifications@github.com> wrote:
For some iterations, the program will take a longer time to run. Which environment are you using?
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-- Binglan Li Ph.D. candidate, Genomics and Computational Biology University of Pennsylvania, Ritchie Lab Mail: binglan.li@pennmedicine.upenn.edu
Before running this command, you should delete the previous ${TISSUE}.txt.gz in the output folder.
Yes, I did. The program does create an error and does not run if there is any pre-existed files in the output folder.
On Tue, Jun 18, 2019 at 10:07 AM Zhaolong(Jerome) Yu < notifications@github.com> wrote:
Before running this command, you should delete the previous ${TISSUE}.txt.gz in the output folder.
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-- Binglan Li Ph.D. candidate, Genomics and Computational Biology University of Pennsylvania, Ritchie Lab Mail: binglan.li@pennmedicine.upenn.edu
That's pretty strange. Can you paste your code here?
The dosage files were generate by the PrediXcan script.
DBNAMES=("Whole_Blood" "Vagina" "Uterus" "Thyroid" "Testis" "Stomach" " Spleen" "Small_Intestine_Terminal_Ileum" "Skin_Sun_Exposed_Lower_leg" " Skin_Not_Sun_Exposed_Suprapubic" "Prostate" "Pituitary" "Pancreas" "Ovary" " Nerve_Tibial" "Muscle_Skeletal" "Lung" "Liver" "Heart_Left_Ventricle" " Heart_Atrial_Appendage" "Esophagus_Muscularis" "Esophagus_Mucosa" " Esophagus_Gastroesophageal_Junction" "Colon_Transverse" "Colon_Sigmoid" " Cells_Transformed_fibroblasts" "Cells_EBV-transformed_lymphocytes" " Breast_Mammary_Tissue" "Brain_Putamen_basal_ganglia" " Brain_Nucleus_accumbens_basal_ganglia" "Brain_Hypothalamus" " Brain_Hippocampus" "Brain_Frontal_Cortex_BA9" "Brain_Cortex" " Brain_Cerebellum" "Brain_Cerebellar_Hemisphere" "Brain_Caudate_basal_ganglia " "Brain_Anterior_cingulate_cortex_BA24" "Artery_Tibial" "Artery_Coronary" " Artery_Aorta" "Adrenal_Gland" "Adipose_Visceral_Omentum" " Adipose_Subcutaneous")
UTMOST_MODEL_DIR="${HOME} /group/datasets/UTMOST/models/gtex-v6p_starnet_blueprint/sample_data/weight_db_GTEx/ "
UTMOST_DIR="${HOME}/group/datasets/UTMOST/"
DOSAGE_DIR="${HOME} /group/personal/victoria/twas_model_choices/data/actg_phase1-4/allele_dosage/ "
COVARIANCE_SINGLE_TISSUE_DIR="${HOME} /group/personal/victoria/twas_model_choices/data/actg_phase1-4/covariance_single_tissue/ "
COVARIANCE_CROSS_TISSUE_DIR="${HOME} /group/personal/victoria/twas_model_choices/data/actg_phase1-4/covariance_cross_tissue/ "
mkdir ${COVARIANCE_SINGLE_TISSUE_DIR}
mkdir ${COVARIANCE_CROSS_TISSUE_DIR}
for TISSUE in ${DBNAMES[@]}; do
python ${UTMOST_DIR}single_tissue_covariance.py \
--weight_db ${UTMOST_MODEL_DIR}${TISSUE}.db \
--input_folder ${DOSAGE_DIR} \
--covariance_output ${COVARIANCE_SINGLE_TISSUE_DIR}${TISSUE}.txt.gz
done
python ${UTMOST_DIR}joint_covariance.py \
--weight_db ${UTMOST_MODEL_DIR} \
--input_folder ${DOSAGE_DIR} \
--gene_info ${UTMOST_DIR}/intermediate/gene_info.txt \
--covariance_output ${COVARIANCE_CROSS_TISSUE_DIR}
On Tue, Jun 18, 2019 at 10:28 AM Zhaolong(Jerome) Yu < notifications@github.com> wrote:
That's pretty strange. Can you paste your code here?
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-- Binglan Li Ph.D. candidate, Genomics and Computational Biology University of Pennsylvania, Ritchie Lab Mail: binglan.li@pennmedicine.upenn.edu
How many samples are there in your dosage files?
Over four thousand individuals
On Wed, Jun 19, 2019 at 6:43 AM Zhaolong(Jerome) Yu < notifications@github.com> wrote:
How many samples are there in your dosage files?
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-- Binglan Li Ph.D. candidate, Genomics and Computational Biology University of Pennsylvania, Ritchie Lab Mail: binglan.li@pennmedicine.upenn.edu
I think, the code is wrong...
for TISSUE in ${DBNAMES[@]}; do python $UTMOST_DIR/single_tissue_covariance.py --weight_db $UTMOST_MODEL_DIR/${TISSUE}.db --input_folder $DOSAGE_DIR --covariance_output $COVARIANCE_SINGLE_TISSUE_DIR/${TISSUE}.txt.gz done
it will be work... maybe :)
Which p-value correction should we use? 0.05/(amount of Tissues)?
If you are using the joint test, then you can use 0.05/number_of_genes_tested.
On Oct 17, 2020, at 3:30 AM, Pro_milka notifications@github.com wrote:
Which p-value correction should we use? 0.05/(amount of Tissues)?
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I am trying to generate single tissue covariance files for my own dataset, but when I ran the following codes, no results were generated.
for TISSUE in ${DBNAMES[@]}; do python ${UTMOST_DIR}single_tissue_covariance.py \ --weight_db ${UTMOST_MODEL_DIR}${TISSUE}.db \ --input_folder ${DOSAGE_DIR} \ --covariance_output ${COVARIANCE_SINGLE_TISSUE_DIR}${TISSUE}.txt.gz done