From f93c90fbbceeaab8131cfd0d941559d95c2ed889 Mon Sep 17 00:00:00 2001 From: "Brandon M. Wilk" Date: Fri, 1 Sep 2023 16:33:45 -0500 Subject: [PATCH 01/23] initial endpoint layout --- configs/requirements.txt | 2 ++ notebooks/.gitkeep | 0 src/main.py | 38 ++++++++++++++++++++++++++++++++++++++ 3 files changed, 40 insertions(+) create mode 100644 configs/requirements.txt delete mode 100644 notebooks/.gitkeep create mode 100644 src/main.py diff --git a/configs/requirements.txt b/configs/requirements.txt new file mode 100644 index 0000000..8e0578a --- /dev/null +++ b/configs/requirements.txt @@ -0,0 +1,2 @@ +fastapi +uvicorn[standard] \ No newline at end of file diff --git a/notebooks/.gitkeep b/notebooks/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/src/main.py b/src/main.py new file mode 100644 index 0000000..5afba5b --- /dev/null +++ b/src/main.py @@ -0,0 +1,38 @@ +from typing import Union + +from fastapi import FastAPI + +# run me https://fastapi.tiangolo.com/#installation +app = FastAPI() + + +@app.get("/") +def read_root(): + return {"Hello": "World"} + + +@app.get("/items/{item_id}") +def read_item(item_id: int, q: Union[str, None] = None): + return {"item_id": item_id, "q": q} + + +@app.get("/loc/{chromosome}/{start}/{end}") +def get_scores(chromosome: str, start: int, end: int): + # TODO create interface to tabix to query range for DITTO scores + return {"loc": f"{chromosome}:{start}-{end}"} + + +@app.get("/var/{chromosome}/{position}/{ref}/{alt}") +def get_variant_score(chromosome, position, ref, alt): + # TODO call the get_scores function to perform look up, if score not precomputed then call dynamic generation + scores = get_scores(chromosome=chromosome, start=position, end=position) + return {"variant": f"chr{chromosome}:g.{position}{ref}>{alt}"} + + +@app.get("/hgvs/{hgvs_cdna}") +def get_hgvs_score(hgvs_cdna): + # TODO call mapping API from VEP to convert to genomic coordinates + # https://rest.ensembl.org/documentation/info/vep_hgvs_get + # TODO call the lookup for a variant + # scores = get_variant_score( stuff from vep for variant info on genome build) + return {"variant": hgvs_cdna} From dd34e11e85b84c672c02197e20e02bb6c840cf5f Mon Sep 17 00:00:00 2001 From: Tarun Mamidi Date: Tue, 5 Sep 2023 12:57:58 -0500 Subject: [PATCH 02/23] readMe update --- README.md | 58 ++++++------------------------------------------------- 1 file changed, 6 insertions(+), 52 deletions(-) diff --git a/README.md b/README.md index 87631fd..335fde1 100644 --- a/README.md +++ b/README.md @@ -1,71 +1,25 @@ -# CGDS Repository Template [:pencil2: Edit this title] +# DITTO-API [![Perform linting - Markdown](https://github.com/uab-cgds-worthey/cgds_repo_template/actions/workflows/linting.yml/badge.svg)](https://github.com/uab-cgds-worthey/cgds_repo_template/actions/workflows/linting.yml) -:pencil2: Add description of the project here. +Repo for querying DITTO predictions for variants using FastAPI. ## Requirements -:pencil2: What are the requirements to install and run the project. +Create conda or pip environment ## How to install -:pencil2: Add installation instructions here. +`pip install -r configs/requirements.txt` ## How to run -:pencil2: Add run instructions here. This includes necessary configurations as well as the commands used. - -## Repo's directory structure - -The directory structure below shows the nature of files/directories used in this repo. - ```sh -$ tree -a cgds_repo_template/ -cgds_repo_template -├── CHANGELOG.md <- Log of changes made -│ -├── CONTRIBUTING.md <- Contribution guidelines -│ -├── LICENSE.md <- License for the repo -│ -├── README.md -│ -├── .gitignore <- Specifies intentionally untracked files to ignore by git -│ -├── .editorconfig <- Helps maintain consistent coding styles for multiple users working on the same project across -│ various editors and IDEs. See https://editorconfig.org/ for more info -│ -├── .markdownlint.json <- Markdown linting config -│ -├── .pylintrc <- Python linting config -│ -├── configs <- Dir to store config files. Conda env, requirements.txt, etc. -│ -├── data <- Dir structure from http://drivendata.github.io/cookiecutter-data-science. Please give it a read. -│   ├── external <- Data from third party sources -│   ├── interim <- Intermediate data that has been transformed -│   ├── processed <- The final, canonical datasets and results -│   └── raw <- The original, immutable data dump -│ -├── notebooks <- Dir to store Jupyter, R Markdown notebooks, etc. -│ -├── src <- Dir to store source code for use in this project -│ -├── .github -│   ├── ISSUE_TEMPLATE <- Github issue templates -│   │   ├── bug_report.md -│   │   └── feature_request.md -│   ├── PULL_REQUEST_TEMPLATE <- Github PR templates -│   │   └── pull_request_template.md -│   └── workflows <- Github actions workflows for automated processes (eg. linting, etc) -│   └── linting.yml -│ -└── logs <- Dir to store log files - +cd src +uvicorn main:app --reload ``` ## Contributing From a391b32be1d479f98ca2604214170ad100946c12 Mon Sep 17 00:00:00 2001 From: Tarun Mamidi Date: Tue, 5 Sep 2023 13:18:54 -0500 Subject: [PATCH 03/23] updates readme --- README.md | 36 ++++++++++++++++++++++++++++++++++-- 1 file changed, 34 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 335fde1..4e38c7a 100644 --- a/README.md +++ b/README.md @@ -5,18 +5,41 @@ Markdown](https://github.com/uab-cgds-worthey/cgds_repo_template/actions/workflows/linting.yml/badge.svg)](https://github.com/uab-cgds-worthey/cgds_repo_template/actions/workflows/linting.yml) +***!!! For research purposes only !!!*** + Repo for querying DITTO predictions for variants using FastAPI. ## Requirements -Create conda or pip environment +Following are required: + +- [git](https://git-scm.com/downloads) +- [python virtual environment](https://docs.python.org/3/tutorial/venv.html) +- pip3 ## How to install -`pip install -r configs/requirements.txt` +Installation simply requires fetching the source code. + +To fetch source code, change in to directory of your choice and run: + +```sh +git clone https://github.com/uab-cgds-worthey/DITTO-API.git +``` + +Change in to root directory and run the command below to install environment: + +```sh +# Create an environment. Needed only the first time. +python3 -m venv ditto-api-env +source ditto-api-env/bin/activate +pip3 install -r configs/requirements.txt +``` ## How to run +Run the below command to activate the API + ```sh cd src uvicorn main:app --reload @@ -25,3 +48,12 @@ uvicorn main:app --reload ## Contributing We welcome contributions! [See the docs for guidelines](./CONTRIBUTING.md). + +## Contact information + +For issues, please send an email with clear description to + +|Name | Email | +------|--------| +Tarun Mamidi | +Brandon Wilk | From fe0b59b1b1c8f40e9650ce2569923c8d32b99d25 Mon Sep 17 00:00:00 2001 From: Tarun Mamidi Date: Wed, 25 Oct 2023 15:35:00 -0500 Subject: [PATCH 04/23] annotations from API --- src/get_annots.ipynb | 521 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 521 insertions(+) create mode 100644 src/get_annots.ipynb diff --git a/src/get_annots.ipynb b/src/get_annots.ipynb new file mode 100644 index 0000000..af32be2 --- /dev/null +++ b/src/get_annots.ipynb @@ -0,0 +1,521 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "import pandas as pd\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "r=requests.get('https://run.opencravat.org/submit/annotate?chrom=chr1&pos=2406483&ref_base=C&alt_base=G&annotators=aloft,cadd,cadd_exome,cancer_genome_interpreter,ccre_screen,chasmplus,civic,clingen,clinpred,clinvar,cosmic,cosmic_gene,cscape,dann,dann_coding,dbscsnv,dbsnp,dgi,ensembl_regulatory_build,ess_gene,exac_gene,fathmm,fathmm_xf_coding,funseq2,genehancer,gerp,ghis,gnomad,gnomad3,gnomad_gene,gtex,gwas_catalog,linsight,loftool,lrt,mavedb,metalr,metasvm,mutation_assessor,mutationtaster,mutpred1,mutpred_indel,ncbigene,ndex,ndex_chd,ndex_signor,omim,pangalodb,phastcons,phdsnpg,phi,phylop,polyphen2,prec,provean,repeat,revel,rvis,segway,sift,siphy,spliceai,uniprot,vest,cgc,cgd,varity_r&reports=vcf')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'revel': None,\n", + " 'cadd_exome': None,\n", + " 'cancer_genome_interpreter': None,\n", + " 'ccre_screen': None,\n", + " 'cgc': None,\n", + " 'cgd': None,\n", + " 'chasmplus': None,\n", + " 'varity_r': None,\n", + " 'clingen': None,\n", + " 'clinpred': None,\n", + " 'clinvar': {'sig': 'Likely pathogenic',\n", + " 'disease_refs': 'MONDO:MONDO:0013936,MedGen:C3553947,OMIM:614870|MONDO:MONDO:0013937,MedGen:C3553948,OMIM:614871|MedGen:CN517202',\n", + " 'disease_names': 'Peroxisome biogenesis disorder 6A (Zellweger)|Peroxisome biogenesis disorder 6B|not provided',\n", + " 'rev_stat': 'criteria provided, single submitter',\n", + " 'id': 554342,\n", + " 'sig_conf': None},\n", + " 'cosmic': None,\n", + " 'cosmic_gene': {'gene_count': [['large intestine', '29'],\n", + " ['skin', '22'],\n", + " ['liver', '21'],\n", + " ['stomach', '13'],\n", + " ['lung', '12'],\n", + " ['haematopoietic and lymphoid tissue', '11'],\n", + " ['endometrium', '10'],\n", + " ['breast', '9'],\n", + " ['prostate', '9'],\n", + " ['central nervous system', '8'],\n", + " ['pancreas', '7'],\n", + " ['upper aerodigestive tract', '6'],\n", + " ['oesophagus', '5'],\n", + " ['kidney', '4'],\n", + " ['thyroid', '3'],\n", + " ['NS', '2'],\n", + " ['ovary', '2'],\n", + " ['urinary tract', '2'],\n", + " ['cervix', '1'],\n", + " ['soft tissue', '1'],\n", + " ['peritoneum', '1']],\n", + " 'occurrences': 178},\n", + " 'cscape': {'score': '0.978525'},\n", + " 'dann': {'score': '0.73570852093793504\\r'},\n", + " 'dann_coding': {'dann_coding_score': 0.9930931163127809,\n", + " 'dann_rankscore': 0.58943},\n", + " 'dbscsnv': {'ada_score': 0.99994568797423, 'rf_score': 0.926},\n", + " 'dbsnp': {'rsid': 'rs1553231739'},\n", + " 'dgi': None,\n", + " 'ensembl_regulatory_build': {'region': 'promoter_flanking_region',\n", + " 'ensr': 'ENSR00000918584'},\n", + " 'ess_gene': None,\n", + " 'exac_gene': {'exac_pli': 0.010463632475946,\n", + " 'exac_prec': 0.945302377621403,\n", + " 'exac_pnull': 0.0442339899026509,\n", + " 'exac_nontcga_pli': 0.00759212357145324,\n", + " 'exac_nontcga_prec': 0.925885534193925,\n", + " 'exac_nontcga_pnull': 0.0665223422346215,\n", + " 'exac_nonpsych_pli': 0.00748785882494236,\n", + " 'exac_nonpsych_prec': 0.91248843970629,\n", + " 'exac_nonpsych_pnull': 0.0800237014687672,\n", + " 'exac_del_score': 0.229098528256408,\n", + " 'exac_dup_score': -0.576593698772451,\n", + " 'exac_cnv_score': -0.348380408944438,\n", + " 'exac_cnv_flag': 'N'},\n", + " 'fathmm': None,\n", + " 'fathmm_xf_coding': None,\n", + " 'funseq2': {'all': [['', '', '', '', '', '', '0.920173109385561']],\n", + " 'hot': None,\n", + " 'motif': None,\n", + " 'score': '0.920173109385561'},\n", + " 'genehancer': {'feature_name': 'Enhancer',\n", + " 'score': 0.82,\n", + " 'ident': 'GH01I002403',\n", + " 'target_genes': 'PIR43593: 550.77, PEX10: 10.53, RER1: 7.11'},\n", + " 'gerp': {'gerp_nr': 5.02, 'gerp_rs': 5.02, 'gerp_rs_rank': 0.66612},\n", + " 'ghis': {'ghis': 0.546045359},\n", + " 'gnomad': None,\n", + " 'gnomad3': None,\n", + " 'gnomad_gene': {'transcript': 'ENST00000507596',\n", + " 'oe_lof': 0.4022,\n", + " 'oe_mis': 1.0512,\n", + " 'oe_syn': 0.95948,\n", + " 'lof_z': 2.1519,\n", + " 'mis_z': -0.26686,\n", + " 'syn_z': 0.30038,\n", + " 'pLI': 0.0075328,\n", + " 'pRec': 0.9783,\n", + " 'pNull': 0.014167,\n", + " 'all': [['ENST00000288774',\n", + " 0.51377,\n", + " 1.0375,\n", + " 0.97585,\n", + " 1.7882,\n", + " -0.20114,\n", + " 0.18559,\n", + " 0.00034663,\n", + " 0.95426,\n", + " 0.04539],\n", + " ['ENST00000447513',\n", + " 0.51655,\n", + " 1.0478,\n", + " 0.96747,\n", + " 1.7731,\n", + " -0.24972,\n", + " 0.24154,\n", + " 0.00033523,\n", + " 0.95228,\n", + " 0.047383],\n", + " ['ENST00000507596',\n", + " 0.4022,\n", + " 1.0512,\n", + " 0.95948,\n", + " 2.1519,\n", + " -0.26686,\n", + " 0.30038,\n", + " 0.0075328,\n", + " 0.9783,\n", + " 0.014167],\n", + " ['ENST00000508384',\n", + " None,\n", + " 1.0842,\n", + " 0.83102,\n", + " None,\n", + " -0.1467,\n", + " 0.45896,\n", + " None,\n", + " None,\n", + " None]]},\n", + " 'gtex': None,\n", + " 'gwas_catalog': None,\n", + " 'linsight': {'value': 0.969215},\n", + " 'loftool': {'loftool_score': 0.234},\n", + " 'lrt': None,\n", + " 'mavedb': None,\n", + " 'metalr': None,\n", + " 'metasvm': None,\n", + " 'mutation_assessor': None,\n", + " 'mutationtaster': {'transcript': 'ENST00000288774;ENST00000447513;ENST00000507596',\n", + " 'score': 1.0,\n", + " 'rankscore': 0.81001,\n", + " 'prediction': 'Damaging',\n", + " 'model': 'without_aae',\n", + " 'all': [['ENST00000288774', 1.0, 0.81001, 'Damaging', 'without_aae'],\n", + " ['ENST00000447513', 1.0, 0.81001, 'Damaging', 'without_aae'],\n", + " ['ENST00000507596', 1.0, 0.81001, 'Damaging', 'without_aae']]},\n", + " 'mutpred1': None,\n", + " 'mutpred_indel': None,\n", + " 'ncbigene': {'ncbi_desc': 'This gene encodes a protein involved in import of peroxisomal matrix proteins. This protein localizes to the peroxisomal membrane. Mutations in this gene result in phenotypes within the Zellweger spectrum of peroxisomal biogenesis disorders, ranging from neonatal adrenoleukodystrophy to Zellweger syndrome. Alternative splicing results in two transcript variants encoding different isoforms. [provided by RefSeq, Jul 2008]',\n", + " 'entrez': '5192'},\n", + " 'ndex': None,\n", + " 'ndex_chd': None,\n", + " 'ndex_signor': None,\n", + " 'omim': {'omim_id': '614870; 614871'},\n", + " 'pangalodb': None,\n", + " 'phastcons': {'phastcons100_vert': 1.0,\n", + " 'phastcons100_vert_r': 0.71638,\n", + " 'phastcons30_mamm': 0.106,\n", + " 'phastcons30_mamm_r': 0.19622,\n", + " 'phastcons17way_primate': 0.255,\n", + " 'phastcons17way_primate_r': 0.23391},\n", + " 'phdsnpg': None,\n", + " 'phi': {'phi': 0.10434},\n", + " 'phylop': {'phylop100_vert': 7.397,\n", + " 'phylop100_vert_r': 0.79162,\n", + " 'phylop30_mamm': 0.931,\n", + " 'phylop30_mamm_r': 0.33558,\n", + " 'phylop17_primate': 0.599,\n", + " 'phylop17_primate_r': 0.4025},\n", + " 'polyphen2': None,\n", + " 'prec': {'prec': 0.16529, 'stat': 'recessive'},\n", + " 'provean': None,\n", + " 'repeat': None,\n", + " 'civic': None,\n", + " 'rvis': {'rvis_evs': -0.27,\n", + " 'rvis_perc_evs': 34.82,\n", + " 'rvis_fdr_exac': 0.2265025,\n", + " 'rvis_exac': 0.757984566,\n", + " 'rvis_perc_exac': 86.30203},\n", + " 'segway': {'sum_score': 14.438633, 'mean_score': 0.0103133092857},\n", + " 'sift': None,\n", + " 'siphy': {'pi': '0.0;1.0;0.0;0.0',\n", + " 'logodds': 17.3042,\n", + " 'logodds_rank': 0.87017},\n", + " 'spliceai': {'ds_ag': 0.0004,\n", + " 'ds_al': 0.0,\n", + " 'ds_dg': 0.6946,\n", + " 'ds_dl': 0.9962,\n", + " 'dp_ag': 4,\n", + " 'dp_al': 0,\n", + " 'dp_dg': -4,\n", + " 'dp_dl': 1},\n", + " 'uniprot': {'acc': 'O60683'},\n", + " 'vest': None,\n", + " 'aloft': None,\n", + " 'cadd': {'score': '5.251063', 'phred': '33'},\n", + " 'crx': {'uid': '',\n", + " 'chrom': 'chr1',\n", + " 'pos': 2406483,\n", + " 'ref_base': 'C',\n", + " 'alt_base': 'G',\n", + " 'note_variant': '',\n", + " 'coding': '',\n", + " 'hugo': 'PEX10',\n", + " 'transcript': 'ENST00000447513.6',\n", + " 'so': 'splice_site_variant',\n", + " 'exonno': 6,\n", + " 'cchange': 'c.912+1G>C',\n", + " 'achange': '',\n", + " 'all_mappings': '{\"PEX10\": [[\"O60683\", \"\", \"intron_variant,splice_site_variant\", \"ENST00000288774.7\", \"c.972+1G>C\"], [\"O60683\", \"\", \"intron_variant,splice_site_variant\", \"ENST00000447513.6\", \"c.912+1G>C\"], [\"\", \"\", \"intron_variant,splice_site_variant\", \"ENST00000507596.5\", \"c.912+1G>C\"], [\"\", \"\", \"2kb_downstream_variant,NMD_transcript_variant\", \"ENST00000510434.1\", \"c.*279G>C\"]], \"RER1\": [[\"\", \"\", \"2kb_downstream_variant\", \"ENST00000378513.7\", \"c.*3496C>G\"], [\"O15258\", \"\", \"2kb_downstream_variant\", \"ENST00000605895.6\", \"c.*3359C>G\"]]}',\n", + " 'gposend': 2406483}}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "r.json()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "68" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(r.json().keys())" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper function to flatten the nested dictionaries\n", + "def flatten_dict(d, parent_key='', sep='.'):\n", + " items = {}\n", + " for key, value in d.items():\n", + " new_key = f'{parent_key}{sep}{key}' if parent_key else key\n", + " if isinstance(value, dict):\n", + " items.update(flatten_dict(value, new_key, sep=sep))\n", + " else:\n", + " items[new_key] = value\n", + " return items\n", + "\n", + "# Flatten the dictionary\n", + "flat_data = flatten_dict(r.json())" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1RER1NoneNoneENST00000378513.7c.*3496C>GENST00000605895.6c.*3359C>G
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" + ], + "text/plain": [ + " ENST O60683.transcript O60683.variant .transcript .variant \\\n", + "0 PEX10 ENST00000447513.6 c.912+1G>C ENST00000510434.1 c.*279G>C \n", + "1 RER1 None None ENST00000378513.7 c.*3496C>G \n", + "\n", + " O15258.transcript O15258.variant \n", + "0 None None \n", + "1 ENST00000605895.6 c.*3359C>G " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Extract data from 'crx' dictionary\n", + "crx_data = r.json().get('crx', {})\n", + "\n", + "# Parse 'all_mappings' JSON and extract ENST mappings\n", + "all_mappings_json = crx_data.get('all_mappings', '{}')\n", + "all_mappings = json.loads(all_mappings_json)\n", + "\n", + "# Create a list of dictionaries where each dictionary represents an ENST mapping\n", + "enst_data = []\n", + "for enst, mappings in all_mappings.items():\n", + " enst_dict = {'ENST': enst}\n", + " for mapping in mappings:\n", + " gene, _, _, transcript, variant = mapping\n", + " enst_dict[f'{gene}.transcript'] = transcript\n", + " enst_dict[f'{gene}.variant'] = variant\n", + " enst_data.append(enst_dict)\n", + "\n", + "# Create a DataFrame from the list of ENST mappings\n", + "df = pd.DataFrame(enst_data)\n", + "\n", + "# Fill NaN values with None\n", + "df = df.fillna('None')\n", + "df.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "training", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From c1cff1c0c04eee3a344ae30de96b877fa0e63c20 Mon Sep 17 00:00:00 2001 From: Tarun Mamidi Date: Sat, 6 Jan 2024 23:20:32 -0600 Subject: [PATCH 05/23] copied scripts and configs for parsing and predictions --- .gitignore | 4 +- configs/col_config.yaml | 629 +++++++++++++++++ configs/opencravat_test_config.json | 663 ++++++++++++++++++ configs/requirements.txt | 8 +- data/external/.gitignore | 0 data/interim/.gitignore | 0 data/processed/.gitignore | 0 data/raw/.gitignore | 0 results/Neural_network/keras_metadata.pb | 8 + results/Neural_network/saved_model.pb | Bin 0 -> 102991 bytes .../variables/variables.data-00000-of-00001 | Bin 0 -> 1160517 bytes .../Neural_network/variables/variables.index | Bin 0 -> 1842 bytes results/weights.h5 | Bin 0 -> 402200 bytes src/utils/Home.py | 113 +++ src/utils/parse.py | 273 ++++++++ src/utils/predict.py | 48 ++ 16 files changed, 1743 insertions(+), 3 deletions(-) create mode 100644 configs/col_config.yaml create mode 100644 configs/opencravat_test_config.json delete mode 100644 data/external/.gitignore delete mode 100644 data/interim/.gitignore delete mode 100644 data/processed/.gitignore delete mode 100644 data/raw/.gitignore create mode 100644 results/Neural_network/keras_metadata.pb create mode 100644 results/Neural_network/saved_model.pb create mode 100644 results/Neural_network/variables/variables.data-00000-of-00001 create mode 100644 results/Neural_network/variables/variables.index create mode 100644 results/weights.h5 create mode 100644 src/utils/Home.py create mode 100644 src/utils/parse.py create mode 100644 src/utils/predict.py diff --git a/.gitignore b/.gitignore index 811b062..545bbfd 100644 --- a/.gitignore +++ b/.gitignore @@ -17,7 +17,6 @@ lib/ lib64/ parts/ sdist/ -var/ *.egg-info/ .installed.cfg *.egg @@ -58,8 +57,9 @@ target/ # DotEnv configuration .env -# conda +# conda/pip .conda +ditto-api-env # Database *.db diff --git a/configs/col_config.yaml b/configs/col_config.yaml new file mode 100644 index 0000000..ad01f5e --- /dev/null +++ b/configs/col_config.yaml @@ -0,0 +1,629 @@ +raw_cols: + - transcript + - gene + - consequence + - protein_hgvs + - cdna_hgvs + - chrom + - pos + - ref_base + - alt_base + - coding + - aloft.tolerant + - aloft.recessive + - aloft.dominant + - aloft.pred + - aloft.conf + - cadd.phred + - cgd.inheritance + - chasmplus.score + - chasmplus.pval + - civic.molecular_profile_score + - cosmic.variant_count + - cosmic_gene.occurrences + - cscape.score + - cgc.class + - cgc.inheritance + - cancer_genome_interpreter.resistant + - cancer_genome_interpreter.responsive + - cancer_genome_interpreter.other + - ccre_screen._group + - ccre_screen.bound + - clingen.disease + - clingen.classification + - clinpred.score + - clinvar.sig + - clinvar.id + - clinvar.rev_stat + - clinvar.sig_conf + - dann.score + - dann_coding.dann_coding_score + - dgi.interaction + - dgi.score + - ensembl_regulatory_build.region + - ess_gene.indispensability_score + - exac_gene.exac_pli + - exac_gene.exac_pnull + - exac_gene.exac_del_score + - exac_gene.exac_dup_score + - exac_gene.exac_cnv_score + - exac_gene.exac_cnv_flag + - fathmm.fathmm_score + - fathmm_xf_coding.fathmm_xf_coding_score + - funseq2.score + - gerp.gerp_rs + - ghis.ghis + - gtex.gtex_tissue + - gwas_catalog.pval + - genehancer.feature_name + - genehancer.score + - linsight.value + - lrt.lrt_score + - lrt.lrt_omega + - loftool.loftool_score + - mavedb.score + - metalr.score + - metasvm.score + - mutpred1.mutpred_general_score + - mutpred_indel.score + - mutation_assessor.score + - mutationtaster.score + - mutationtaster.prediction + - mutationtaster.model + - ncbigene.entrez + - ndex_chd.numhit + - ndex.numhit + - ndex_signor.numhit + - omim.omim_id + - prec.prec + - prec.stat + - provean.score + - pangalodb.sensitivity + - pangalodb.specificity + - phdsnpg.score + - phastcons.phastcons100_vert + - phastcons.phastcons30_mamm + - phastcons.phastcons17way_primate + - phylop.phylop100_vert + - phylop.phylop30_mamm + - phylop.phylop17_primate + - polyphen2.hdiv_rank + - polyphen2.hvar_rank + - revel.score + - rvis.rvis_evs + - repeat.repeatclass + - sift.score + - sift.med + - sift.confidence + - sift.seqs + - segway.mean_score + - siphy.logodds_rank + - spliceai.ds_ag + - spliceai.ds_al + - spliceai.ds_dg + - spliceai.ds_dl + - spliceai.dp_ag + - spliceai.dp_al + - spliceai.dp_dg + - spliceai.dp_dl + - uniprot.acc + - varity_r.varity_r_loo + - varity_r.varity_er_loo + - vest.score + - dbsnp.rsid + - dbscsnv.ada_score + - dbscsnv.rf_score + - gnomad.af + - gnomad_gene.oe_lof + - gnomad_gene.oe_mis + - gnomad_gene.oe_syn + - gnomad_gene.lof_z + - gnomad_gene.mis_z + - gnomad_gene.syn_z + - gnomad_gene.pLI + - gnomad_gene.pRec + - gnomad_gene.pNull + - gnomad3.af + - phi.phi + +train_cols: + - transcript + - gene + - consequence + - protein_hgvs + - cdna_hgvs + - chrom + - pos + - ref_base + - alt_base + - clingen.disease + - clingen.classification + - ncbigene.entrez + - omim.omim_id + - uniprot.acc + - dbsnp.rsid + +display_cols: + cons: + - gerp + - polyphen2 + AF: + - gnomad + - gnomad3 + pred: + - cadd + - spliceai + - clinpred + - revel + - varity_r + clinical: + - clinvar + - clingen + - cgd + - mavedb + +id_cols: + - transcript + - gene + - consequence + - protein_hgvs + - cdna_hgvs + - chrom + - pos + - ref_base + - alt_base + - clingen.disease + - clingen.classification + - clinvar.id + - clinvar.sig + - clinvar.rev_stat + - clinvar.sig_conf + - ncbigene.entrez + - omim.omim_id + - uniprot.acc + - dbsnp.rsid + +train_ClinicalSignificance: + - Uncertain_significance + - Pathogenic + - Likely_pathogenic + - Benign + - Likely_benign + - Benign/Likely_benign + - Pathogenic/Likely_pathogenic + - Conflicting_interpretations_of_pathogenicity + +BenchmarkSignificance: + - Pathogenic + - Likely_pathogenic + - Likely_benign + - Benign + - Benign/Likely_benign + - Pathogenic/Likely_pathogenic + - Pathogenic,_other + - Pathogenic/Likely_pathogenic,_other + - Pathogenic,_drug_response + +CLNREVSTAT: #https://www.ncbi.nlm.nih.gov/clinvar/docs/review_status/ + - practice_guideline + - reviewed_by_expert_panel + - criteria_provided,_multiple_submitters,_no_conflicts + +dummies_sep: + gtex.gtex_tissue: '|' + dgi.interaction: ',' + cgd.inheritance: '/' + so: ',' + repeat.repeatclass: ',' + genehancer.feature_name: '/' + cgc.inheritance: '/' + cgc.class: ', ' + +median_scores: + aloft.tolerant: 0.03175 + aloft.recessive: 0.5456 + aloft.dominant: 0.38385 + cadd.phred: 9.129 + chasmplus.score: 0.073 + chasmplus.pval: 0.277 + civic.molecular_profile_score: 7.5 + cosmic.variant_count: 1.0 + cosmic_gene.occurrences: 1725.0 + cscape.score: 0.436793 + cancer_genome_interpreter.resistant: 0.0 + cancer_genome_interpreter.responsive: 2.0 + cancer_genome_interpreter.other: 0.0 + clinpred.score: 0.109 + dann.score: 0.6540942459117577 + dann_coding.dann_coding_score: 0.994319113925808 + dgi.score: 3.55 + ess_gene.indispensability_score: 0.863945523287189 + exac_gene.exac_pli: 0.0614137585139882 + exac_gene.exac_pnull: 1.01047322872054e-05 + exac_gene.exac_del_score: 0.2455437788049 + exac_gene.exac_dup_score: 0.194157677715669 + exac_gene.exac_cnv_score: 0.034861123316654 + fathmm.fathmm_score: -1.59 + fathmm_xf_coding.fathmm_xf_coding_score: 0.346275 + funseq2.score: 0.498146534129084 + gerp.gerp_rs: 4.66 + ghis.ghis: 0.561316286 + gwas_catalog.pval: 2e-09 + genehancer.score: 1.09 + linsight.value: 0.142985 + lrt.lrt_score: 4.2e-05 + lrt.lrt_omega: 0.099477 + loftool.loftool_score: 0.101 + mavedb.score: 0.8677136380949829 + metalr.score: 0.4031 + metasvm.score: -0.3355 + mutpred1.mutpred_general_score: 0.7979999999999999 + mutpred_indel.score: 0.581 + mutation_assessor.score: 2.0 + mutationtaster.score: 1.0 + ndex_chd.numhit: 2.0 + ndex.numhit: 4.0 + ndex_signor.numhit: 1.0 + prec.prec: 0.36264 + provean.score: -2.3 + pangalodb.sensitivity: 0.0 + pangalodb.specificity: 0.0112782 + phdsnpg.score: 0.93 + phastcons.phastcons100_vert: 1.0 + phastcons.phastcons30_mamm: 0.987 + phastcons.phastcons17way_primate: 0.961 + phylop.phylop100_vert: 4.239 + phylop.phylop30_mamm: 1.026 + phylop.phylop17_primate: 0.599 + polyphen2.hdiv_rank: 0.55554 + polyphen2.hvar_rank: 0.53365 + revel.score: 0.38 + rvis.rvis_evs: -0.41 + sift.score: 1.0 + sift.med: 2.74 + sift.seqs: 46.0 + segway.mean_score: 0.0858073982609 + siphy.logodds_rank: 0.62632 + spliceai.ds_ag: 0.0004 + spliceai.ds_al: 0.0 + spliceai.ds_dg: 0.0004 + spliceai.ds_dl: 0.0 + spliceai.dp_ag: -1.0 + spliceai.dp_al: 0.0 + spliceai.dp_dg: 0.0 + spliceai.dp_dl: 0.0 + varity_r.varity_r_loo: 0.3558284342288971 + varity_r.varity_er_loo: 0.29223165 + vest.score: 0.754 + dbscsnv.ada_score: 0.5035390098589105 + dbscsnv.rf_score: 0.516 + gnomad.af: 0.000116777782496 + gnomad_gene.oe_lof: 0.34946 + gnomad_gene.oe_mis: 0.88424 + gnomad_gene.oe_syn: 1.0119 + gnomad_gene.lof_z: 3.7638 + gnomad_gene.mis_z: 0.92308 + gnomad_gene.syn_z: -0.1187 + gnomad_gene.pLI: 7.8292e-05 + gnomad_gene.pRec: 0.30551 + gnomad_gene.pNull: 1.1292e-05 + gnomad3.af: 0.000167535 + phi.phi: 0.48298 + +consequence_cols: + - 2kb_downstream_variant + - 2kb_upstream_variant + - 3_prime_UTR_variant + - 5_prime_UTR_variant + - NMD_transcript_variant + - NSD_transcript + - complex_substitution + - exon_loss_variant + - frameshift_elongation + - frameshift_truncation + - inframe_deletion + - inframe_insertion + - intron_variant + - lnc_RNA + - miRNA + - misc_RNA + - missense_variant + - polymorphic_pseudogene + - processed_transcript + - rRNA + - ribozyme + - scaRNA + - snRNA + - snoRNA + - splice_site_variant + - start_lost + - start_retained_variant + - stop_gained + - stop_lost + - stop_retained_variant + - synonymous_variant + - transcript_ablation + +filtered_cols: + - transcript + - gene + - consequence + - protein_hgvs + - cdna_hgvs + - chrom + - pos + - ref_base + - alt_base + - clingen.disease + - clingen.classification + - ncbigene.entrez + - omim.omim_id + - uniprot.acc + - dbsnp.rsid + - aloft.tolerant + - aloft.recessive + - aloft.dominant + - cadd.phred + - chasmplus.score + - chasmplus.pval + - civic.molecular_profile_score + - cosmic.variant_count + - cosmic_gene.occurrences + - cscape.score + - cancer_genome_interpreter.resistant + - cancer_genome_interpreter.responsive + - clinpred.score + - dann.score + - dann_coding.dann_coding_score + - dgi.score + - ess_gene.indispensability_score + - exac_gene.exac_pli + - exac_gene.exac_pnull + - exac_gene.exac_del_score + - exac_gene.exac_dup_score + - exac_gene.exac_cnv_score + - fathmm.fathmm_score + - fathmm_xf_coding.fathmm_xf_coding_score + - funseq2.score + - gerp.gerp_rs + - ghis.ghis + - gwas_catalog.pval + - genehancer.score + - linsight.value + - lrt.lrt_score + - lrt.lrt_omega + - loftool.loftool_score + - mavedb.score + - metalr.score + - metasvm.score + - mutpred1.mutpred_general_score + - mutpred_indel.score + - mutation_assessor.score + - mutationtaster.score + - ndex_chd.numhit + - ndex.numhit + - ndex_signor.numhit + - prec.prec + - provean.score + - pangalodb.sensitivity + - pangalodb.specificity + - phdsnpg.score + - phastcons.phastcons100_vert + - phastcons.phastcons30_mamm + - phastcons.phastcons17way_primate + - phylop.phylop100_vert + - phylop.phylop30_mamm + - phylop.phylop17_primate + - polyphen2.hdiv_rank + - polyphen2.hvar_rank + - revel.score + - rvis.rvis_evs + - sift.score + - sift.med + - sift.seqs + - segway.mean_score + - siphy.logodds_rank + - spliceai.ds_ag + - spliceai.ds_al + - spliceai.ds_dg + - spliceai.ds_dl + - spliceai.dp_ag + - spliceai.dp_al + - spliceai.dp_dg + - spliceai.dp_dl + - varity_r.varity_r_loo + - varity_r.varity_er_loo + - vest.score + - dbscsnv.ada_score + - dbscsnv.rf_score + - gnomad.af + - gnomad_gene.oe_lof + - gnomad_gene.oe_mis + - gnomad_gene.oe_syn + - gnomad_gene.lof_z + - gnomad_gene.mis_z + - gnomad_gene.syn_z + - gnomad_gene.pLI + - gnomad_gene.pRec + - gnomad_gene.pNull + - gnomad3.af + - phi.phi + - Adipose_Subcutaneous + - Adipose_Visceral_Omentum + - Adrenal_Gland + - Artery_Aorta + - Artery_Coronary + - Artery_Tibial + - Brain_Amygdala + - Brain_Anterior_cingulate_cortex_BA24 + - Brain_Caudate_basal_ganglia + - Brain_Cerebellar_Hemisphere + - Brain_Cerebellum + - Brain_Cortex + - Brain_Frontal_Cortex_BA9 + - Brain_Hippocampus + - Brain_Hypothalamus + - Brain_Nucleus_accumbens_basal_ganglia + - Brain_Putamen_basal_ganglia + - Brain_Spinal_cord_cervical_c-1 + - Brain_Substantia_nigra + - Breast_Mammary_Tissue + - Cells_EBV-transformed_lymphocytes + - Cells_Transformed_fibroblasts + - Colon_Sigmoid + - Colon_Transverse + - Esophagus_Gastroesophageal_Junction + - Esophagus_Mucosa + - Esophagus_Muscularis + - Heart_Atrial_Appendage + - Heart_Left_Ventricle + - Liver + - Lung + - Minor_Salivary_Gland + - Muscle_Skeletal + - Nerve_Tibial + - Ovary + - Pancreas + - Pituitary + - Prostate + - Skin_Not_Sun_Exposed_Suprapubic + - Skin_Sun_Exposed_Lower_leg + - Small_Intestine_Terminal_Ileum + - Spleen + - Stomach + - Testis + - Thyroid + - Uterus + - Vagina + - Whole_Blood + - activator + - adduct + - agonist + - allosteric modulator + - antagonist + - antibody + - binder + - blocker + - chaperone + - cofactor + - inducer + - inhibitor + - ligand + - modulator + - negative modulator + - positive modulator + - potentiator + - product of + - stimulator + - substrate + - vaccine + - AD + - AR + - AR + - BG + - Digenic + - XL + - 2kb_downstream_variant + - 2kb_upstream_variant + - 3_prime_UTR_variant + - 5_prime_UTR_variant + - NMD_transcript_variant + - NSD_transcript + - complex_substitution + - exon_loss_variant + - frameshift_elongation + - frameshift_truncation + - inframe_deletion + - inframe_insertion + - intron_variant + - lnc_RNA + - miRNA + - misc_RNA + - missense_variant + - polymorphic_pseudogene + - processed_transcript + - rRNA + - ribozyme + - scaRNA + - snRNA + - snoRNA + - splice_site_variant + - start_lost + - start_retained_variant + - stop_gained + - stop_lost + - stop_retained_variant + - synonymous_variant + - transcript_ablation + - LINE + - LTR + - Low_complexity + - SINE + - Satellite + - Simple_repeat + - Enhancer + - Promoter + - germline + - somatic + - Oncogene + - TSG + - fusion + - coding_Yes + - aloft.pred_Dominant + - aloft.pred_Recessive + - aloft.pred_Tolerant + - aloft.conf_High + - aloft.conf_Low + - ccre_screen._group_CTCF-only + - ccre_screen._group_DNase-H3K4me3 + - ccre_screen._group_PLS + - ccre_screen._group_dELS + - ccre_screen._group_pELS + - ccre_screen.bound_Yes + - ensembl_regulatory_build.region_CTCF_binding_site + - ensembl_regulatory_build.region_TF_binding_site + - ensembl_regulatory_build.region_enhancer + - ensembl_regulatory_build.region_open_chromatin_region + - ensembl_regulatory_build.region_promoter + - ensembl_regulatory_build.region_promoter_flanking_region + - exac_gene.exac_cnv_flag_N + - exac_gene.exac_cnv_flag_Y + - mutationtaster.prediction_Automatic Disease Causing + - mutationtaster.prediction_Automatic Polymorphism + - mutationtaster.prediction_Damaging + - mutationtaster.prediction_Polymorphism + - mutationtaster.model_complex_aae + - mutationtaster.model_simple_aae + - mutationtaster.model_without_aae + - prec.stat_lof-tolerant + - prec.stat_recessive + - sift.confidence_High + - sift.confidence_Low + +Benchmark_cols: + cadd.phred: 'CADD' + cscape.score: "CSCAPE" + clinpred.score: 'ClinPred' + dann.score: 'DANN' + dann_coding.dann_coding_score: 'DANN_Coding' + dgi.score: 'DGI_score' + fathmm_xf_coding.fathmm_xf_coding_score: 'FATHMM_coding' + funseq2.score: 'Funseq2' + linsight.value: 'Linsight' + lrt.lrt_score: 'LRT' + loftool.loftool_score: 'Loftool' + metasvm.score: 'MetaSVM' + metalr.score: 'MetaLR' + mutpred1.mutpred_general_score: 'MutPred' + mutpred_indel.score: 'MutPred_indel' + mutation_assessor.score: 'Mutation_Assessor' + mutationtaster.score: 'Mutation_Taster' + provean.score: 'Provean' + phdsnpg.score: 'PHDSNPG' + revel.score: 'Revel' + sift.score: 'SIFT' + vest.score: 'VEST' + dbscsnv.ada_score: 'dbSCSNV_ADA' + dbscsnv.rf_score: 'dbSCSNV_RF' + varity_r.varity_r_loo: 'varity_r' + varity_r.varity_er_loo: 'varity_er' diff --git a/configs/opencravat_test_config.json b/configs/opencravat_test_config.json new file mode 100644 index 0000000..969a6c0 --- /dev/null +++ b/configs/opencravat_test_config.json @@ -0,0 +1,663 @@ +[ + { + "col_id": "aloft.all", + "parse_type": { + "list-o-dicts": { + "dict_index": { + "1": "aloft.affect", + "2": "aloft.tolerant", + "3": "aloft.recessive", + "4": "aloft.dominant", + "5": "aloft.pred", + "6": "aloft.conf" + }, + "trx_mapping_col_index": 0 + } + } + }, + { + "col_id": "cadd.phred", + "parse_type": { + "none": "none" + } + }, + { + "col_id": "cgd.inheritance", + "parse_type": { + "none": "none" + } + }, + { + "col_id": "chasmplus.all", + "parse_type": { + "list-o-dicts": { + "dict_index": { + "1": "chasmplus.score", + "2": "chasmplus.pval" + }, + "trx_mapping_col_index": 0 + } + } + }, + { + "col_id": "civic.molecular_profile_score", + "parse_type": { + "none": "none" + } + }, + { + "col_id": "cosmic.variant_count", + 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