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analysis_pipeline
TOPMed analysis pipelineGENESIS
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatednessgregor_data_models
A repository for version control of consortium data model(s)topmed-dcc-harmonized-phenotypes
Documentation for the TOPMed DCC's harmonized phenotypeswgsaparsr
Code for parsing TOPMED variant annotation files produced by the WGSA annotation tool.topmed_workshop_2018
Course materials for SISG Module 12: Computational Pipeline for WGS Data, July 18-20, 2018aws_s3
scripts to copy data to s3 and utilize sqstopmed_workshop_2017
Course materials for the TOPMed Analysis Workshop, August 7-9, 2017docker
simulate_phenotypes
Code for simulating phenotypesanalysis_pipeline_cwl
CWL for running analysis pipeline scripts as workflowsprimed_data_models
A repository for version control of consortium data model(s)QCpipeline
Pipeline for quality control of genotype array datagenesis-workflow
Workflows for GWAS with the GENESIS R packageSeqQCpipeline
Pipeline for quality control of sequencing dataSISG_2023
SISG 2023 Module 18: Computational Pipeline for WGS Datapie
TOPMed phenotype inventory explorer (PIE)topmed-gsr-reporting
Code to generate a report about TOPMed GSR processing and uploadaws_ami
dbgaptools
R package to create and check standard files for dbGaP submissionAnvilDataModels
R package to work with AnVIL data modelsprimed-file-conversion
PRIMED file conversion workflowsSISG_2021
primed_example_notebooks
Example notebooks for working with PRIMED data in AnVIL workspacesSISG_2019
Course materials for SISG Module 17: Computational Pipeline for WGS Data, July 24-26, 2019gregor-data-tracking
Code to support data tracking and reporting for GREGoRawsbatch
json files and python scripts for managing AWS batch servicestagging_data_analysis
Analysis of tagging data exported from PIEcontactparser
An R package to parse and reformat the TOPMed website contacts tableWISG_2019
Course materials for WISG Module 4: Computational Pipeline for WGS Data, January 23-24, 2019SISG_2020
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