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EviAnn

Definition
AI-generated

EviAnn is an evidence-driven genome annotation pipeline that combines spliced alignments of RNA-seq, protein-to-genome alignments, and transcript hints from related species to predict gene structures on an assembly.

Topics
Post-GWAS
URL
https://github.com/alekseyzimin/EviAnn_release
Related
Genome Annotation LiftOff Transcript Assembly

Why it matters in GWAS

Like other automated annotators, EviAnn’s output defines gene coordinates for variant mapping in non-human references or pangenome contexts. Comparing lift-overs or orthology calls across assemblies depends on consistent re-annotation when the underlying gene set changes.

Example usage

"We re-annotated the updated chromosome-level assembly with EviAnn before re-running gene-based rare-variant tests."

Genome Annotation LiftOff Transcript Assembly Miniprot RNA Sequencing (RNA-seq)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Zimin AV, Puiu D, Pertea M, Yorke JA, Salzberg SL. Efficient evidence-based genome annotation with EviAnn. Nat Methods (see Ji et al., 2026 for review context).
  • Ji HJ, Pertea M, Salzberg SL. (2026). Annotating genomes at increased scale and resolution. Nat Rev Genet. https://doi.org/10.1038/s41576-026-00937-3
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