Genomic Annotation Infrastructure (GAIn): Pipelines and Resource Repositories for Annotating Variants, Positions, and Regions

Cokol, Murat, Chorbadjiev, Lubomir, Lee, Yoon-ha, Jamsandekar, Minal, Gergova, Ilina, Todorov, Ivo, Iossifov, Ivan (July 2026) Genomic Annotation Infrastructure (GAIn): Pipelines and Resource Repositories for Annotating Variants, Positions, and Regions. bioRxiv. ISSN 2692-8205 (Submitted)

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Abstract

Interpretation of genomic variants, positions, and regions depends on reliable annotation—adding evidence such as predicted effect, conservation, population frequency, and gene-level context—yet the underlying resources are numerous, versioned, and assembly-specific. We present the Genomic Annotation Infrastructure (GAIn), a platform that generates transparent, reproducible annotations via declarative pipelines that define annotation tasks as ordered lists of components, called annotators, that produce annotation attributes using genomic resources from Genomic Resource Repositories (GRRs). We provide two public GRRs: a main repository containing more than 250 heterogeneous genomic resources, and a separate GRR-ENCODE repository containing resources derived from thousands of ENCODE (Encyclopedia of DNA Elements) project experiments. Users can use the annotation pipelines we made available, author custom annotation pipelines, and execute annotation tasks with these pipelines via GAIn’s web and command-line interfaces. The web interface can be used without any setup, but it relies on shared computational infrastructure and imposes limits on the size of annotation tasks. The command-line interface requires setup but supports arbitrarily large annotation tasks through simple-to-use parallelization and offers a broader set of features. For example, command-line GAIn can be extended by using custom GRRs or creating custom annotators via its plugin architecture. In addition, GAIn’s re-annotation feature, which updates annotations as they evolve, substantially simplifies maintaining annotations in a large genomics analysis project. GAIn’s resource management, explicit versioning, and pipeline abstraction provide an auditable, maintainable, and efficient foundation for modern genomic annotation across reference assemblies and use cases.

Item Type:	Paper
Subjects:	bioinformatics > genomics and proteomics > annotation bioinformatics bioinformatics > genomics and proteomics
CSHL Authors:	Lee, Yoon-Ha Iossifov, Ivan Jamsandekar, Minal
Communities:	CSHL labs > Iossifov lab CSHL Post Doctoral Fellows
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	12 July 2026
Date Deposited:	21 Sep 2026 13:43
Last Modified:	21 Sep 2026 13:43
Related URLs:	Publisher
URI:	https://repository.cshl.edu/id/eprint/42318

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