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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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EviAnn annotated gene models using long-read transcriptomics dataset

Authors: Kong, Wye-Lup;

EviAnn annotated gene models using long-read transcriptomics dataset

Abstract

This gene models were annotated using EviAnn software by providing long-read transcriptomics dataset and Zea mays B73 RefGen_v5 genome and protein reference sequence. EviAnn (Evidence Annotation) is a novel genome annotation software created by a team from Johns Hopkins University (Zimin AV, Puiu D, Pertea M, Yorke JA, Salzberg SL. Efficient evidence-based genome annotation with EviAnn. bioRxiv [Preprint]. 2025 May 12:2025.05.07.652745. doi: 10.1101/2025.05.07.652745. PMID: 40463080; PMCID: PMC12132231.). Its core principle is being purely evidence-based, meaning it relies directly on biological data rather than solely on "ab initio" (from scratch) gene prediction methods. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average