ArticleNAR genomics and bioinformatics2020
GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 388 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
388 citing papers in PubMed, 577 citations in OpenAlex.
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- Genome evolution and transposable element expansion reveal host-associated genomic features in Cladosporium cucumerinum.Communications biology · 2026Article
- A chromosomal-level genome assembly of Batocera lineolata Chevrolat, 1852 (Coleoptera: Cerambycidae).Scientific data · 2026Article
- A chromosomal-level genome assembly of Sinodiscula theae-sinensis strain Sthe1.Scientific data · 2026Article
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328 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
We have made several steps toward creating a fast and accurate algorithm for gene prediction in eukaryotic genomes. First, we introduced an automated method for efficient
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.