GPF Administration

• GPF Getting Started Guide
  • Prerequisites
  • GPF Installation
  • Run the GPF development web server
  • Import genotype variants
  • Getting started with Dataset Statistics
  • Getting started with de novo gene sets
  • Getting Started with Annotation
  • Getting Started with Preview and Download Columns
  • Getting Started with Gene Browser
  • Getting Started with Enrichment Tool
  • Getting Started with Phenotype Data
  • Using Apache Impala as storage
  • Example Usage of GPF Python Interface
• Genomic resources and resource repositories
  • Genomic resources
  • Resource repositories
  • Tutorial: Create a local repository with a custom resource
• Genomic position table configuration
  • Table configuration fields
  • Score configuration fields
  • Zero-based / BED format scores
  • Example configurations
  • How to generate tabix files
• Annotation Infrastructure
  • Pipeline configuration
  • Preamble
  • Annotators
  • Command line tools
  • Example annotations
• Working With Pedigree Files Guide
  • Brief outline
  • Input pedigree file
  • Canonical pedigree file
  • Possible input pedigree file structures
  • Preparing the pedigree data
  • Supported values for sex
  • Supported values for status
  • Supported values for role
  • Common arguments for the pedigree tools
  • Transform a pedigree file into canonical GPF form
  • Visualize a pedigree file into a PDF file
• Working With VCF Files Guide
  • Import data from the “1000 Genome Project”
  • Creating the pedigree file
  • Creating the VCF files
  • Importing the data into GPF
• Phenotype Database Tools
  • Import a Phenotype Database
  • The Data Dictionary
  • Measure Classification
  • Inference parameters
  • How The Classification Works
• Measure Configuration
  • Measure configuration format
• GPF Tools
  • Simple Study Import
  • Impala Batch Import
  • Generate Denovo Gene Sets
  • Generate Common Report
  • Import Tools
• Data Appendix
  • Gene Weights
  • Genomic Scores
  • Columns