RegaDB pieter.libin@uz.kuleuven.be Bonn, Arevir Meeting April 23 rd - - PowerPoint PPT Presentation

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RegaDB pieter.libin@uz.kuleuven.be Bonn, Arevir Meeting April 23 rd - - PowerPoint PPT Presentation

RegaDB pieter.libin@uz.kuleuven.be Bonn, Arevir Meeting April 23 rd , 2008 Introduction RegaDB Viral Data and Analysis Management environment HIV-1, HIV-2, HCV To be used by Clinicians Researchers Two main usage scenarios: Runs locally


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RegaDB

pieter.libin@uz.kuleuven.be

Bonn, Arevir Meeting April 23rd, 2008

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Pieter Libin, 23/04/09

Introduction

RegaDB

Viral Data and Analysis Management environment

HIV-1, HIV-2, HCV

To be used by

Clinicians Researchers

Two main usage scenarios:

Runs locally

On a server in your institute On your local machine

On a collaboration server Easy access with Web browser

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Objective

A free and open-source database system Target audiance

Clinicians Researchers

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Objective (Clinicians)

Empower clinicians with analysis tools

Patient history graph Sequence analyses

HIV typing and subtyping Genotypic analyses for resistance interpretation

Third party analyses as “web services” Resistance reports

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Objective (Researchers)

Collaboration

Facilitate research collaborations Easily interchange data, keeping track of data origin Create collaborative databases keeping track of dataset versions Easily publish data sets to Stanford HIVDB

Publishing analyses tools

eg.: Tropism prediction tools

Querying

Visual Query Tool

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Data entities

Patient Therapy Dataset Test Viral Isolate Attribute Event

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Attributes

Annotate Patient with information

Adapts to “your (research) interest” Typically clinical and epidemiological information

Examples

Gender HIV transmission risk group Most of information collected in Collaborative projects WIV related information

Attributes can be grouped

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Viral Isolates

Viral Isolates Insertion Nucleotide Sequence Amino Acid Sequence Mutation Protein Information automatically inferred A N A L Y S E S

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Analysis services

Built-in services

Codon correct alignment based on the appropriate reference genome REGA Subtype tool Stanford ASI genotypic resistance algorithms

ANRS, HIVDB, REGA HIV-1/HIV-2

Resistance report generation

Using your own template documents

Integrate with external analysis services

Using “web services”

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Therapy

Consists of drug combination

commercial or generic representation dosage information

Start & end date Stop motivation

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Tests

Test (in a general sense) performed at a certain moment in time May be related to a

Viral Isolate Drug Combination of a viral isolate and a drug

Adapts to “your (research) interest”

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Tests

Tests on a sample:

CD4 count Viral Load count

Tests on a sample with respect to a drug

Therapeutic drug monitoring

Tests on a viral isolate:

HIV typing and subtyping

Tests on a viral isolate with respect to a drug

Genotypic/phenotypic resistance test

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Events

Start and end date Value (comparable to test values) eg.: Aids Defining Events

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Patient history chart

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Visual Query Tool

Hierarchical query builder

export results to csv file query database without the knowledge of SQL

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Thanks

Thanks for the invitation and your attention! Questions?