Data Analysis Tools

Within the GHGA workflow workstream, our bioinformatics team is making steady progress in our effort to provide standardized, comparable, and reproducible omics workflows for the research community. To streamline workflows, the team is improving existing workflows (instead of creating a new process) and aligning with the nf-core  community, curating best practice analytic pipelines. Below, we highlight workflow releases GHGA has been involved in.

If you are starting to use nf-core workflows, we recomment Bytesize - a video tutorial series published by nf-core that covers workflow implementation and nf-core workflows in short and easy to follow snippets!

sarek 3.0

Somatic and Germline Variant Calling Methodology (GHGA config) - A coordinated guide on how to call variants given public resources and tool settings

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nanoseq 3.0

Tool for Long Read Sequencing focusing on the Oxford Nanopore technology

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DROP

Rare-Disease RNA-seq Analysis (Research Diagnostics) - A tool for RNA-seq processing and interpretation of rare disease outlier detection, that guides researchers towards aberrant RNA events (splicing and expression)

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