Which tools are available?

This document introduces the tools installed in your Sandbox IVM.

If you have questions about the tools please first search this handbook for further information. If this does not help then please contact the [email protected].

If you find a bug or would like to improve the tools then the preferred way is to create a pull request or open an issue in the tool-specific public GitHub repository.

Application menu

Many tools installed in the Sandbox are available in the Applications menu (see the screenshot below):

Tools for cohort creation and operations

Tool
Description

Create user-defined cohorts and inspect them visually and through characterizations, export cohorts

Operate cohorts made with other tools (e.g. Atlas, Genotype Browser, R), export cohorts, visualization

Create cohorts based on genotype content

Tools for data visualization

Tool
Description

Visualize large numbers of longitudinal cases with glyphs of user-defined conditions: Timeline viewer, Overview plots of the data, Upset plot, export cohorts & glyphs

Explore code and endpoint enrichments using CodeWAS and TimeCodeWAS, explore cohort overlaps, make overview plots of the data (upset plot)

Compare two or more cohorts e.g. according to conditions, drug usage, age, sex

Visualize all health register data for a person in a single view

Tools for GWAS

Tool
Description

Tools to conduct user-defined custom GWAS

Pipeline is for large-scale unmodifiable, modifiable and user-defined analysis (pipelines) with parallelization and custom sized virtual machines

Custom GWAS tool pipeline can be launched also from Cohort Operations

Tools for genetic data browsing

Tool
Description

GenotypeBrowser is a graphical user interface to examine variant-level information within FinnGen Sandbox

Browse and view polygenic scores for existing endpoints or a custom cohort

A command line interface allowing users to query carriers of variants in FinnGen exome data

Other software and scripts

Tool
Description

Python package installation instructions

R package installation instructions

Pre-installed basic (e.g. awk, grep) and FinnGen-specific Linux programs

FinnGen-specific Linux programs loaded using Lmod

SQL queries

Explore FinnGen data stored in BiqQuery database

Interactive coding using python language and visualization of results in notebook style

Validate the correct format of user-formatted input files to make custom GWAS summary stats viewable in a PheWeb-style

Documentation for Sandbox internal API

Miscellaneous helper scripts and tools

See also a presentation of New FinGen tools and their application to example diseases from User's meeting 28th March 2023 recording (at 25min 23sec).

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