Evidence map›Paper›PMID 36896291›Full record

ArticleFrontiers in veterinary science2023

Benchmark study for evaluating the quality of reference genomes and gene annotations in 114 species.

Sinwoo Park, Jinbaek Lee, Jaeryeong Kim, Dohyeon Kim, Jin Hyup Lee, Seung Pil Pack, Minseok Seo

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sinwoo ParkDepartment of Computer and Information Science, Korea University, Sejong City, Republic of Korea.
Jinbaek LeeDepartment of Computer Convergence Software, Korea University, Sejong City, Republic of Korea.
Jaeryeong KimDepartment of Computer and Information Science, Korea University, Sejong City, Republic of Korea.
Dohyeon KimDepartment of Computer and Information Science, Korea University, Sejong City, Republic of Korea.
Jin Hyup LeeDepartment of Food and Biotechnology, Korea University, Sejong City, Republic of Korea.
Seung Pil PackDepartment of Biotechnology and Bioinformatics, Korea University, Sejong City, Republic of Korea.
Minseok SeoDepartment of Computer and Information Science, Korea University, Sejong City, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: For reference genomes and gene annotations are key materials that can determine the limits of the molecular biology research of a species; however, systematic research on their quality assessment remains insufficient. Methods: We collected reference assemblies, gene annotations, and 3,420 RNA-sequencing (RNA-seq) data from 114 species and selected effective indicators to simultaneously evaluate the reference genome quality of various species, including statistics that can be obtained empirically during the mapping process of short reads. Furthermore, we newly presented and applied transcript diversity and quantification success rates that can relatively evaluate the quality of gene annotations of various species. Finally, we proposed a next-generation sequencing (NGS) applicability index by integrating a total of 10 effective indicators that can evaluate the genome and gene annotation of a specific species. Results and discussion: Based on these effective evaluation indicators, we successfully evaluated and demonstrated the relative accessibility of NGS applications in all species, which will directly contribute to determining the technological boundaries in each species. Simultaneously, we expect that it will be a key indicator to examine the direction of future development through relative quality evaluation of genomes and gene annotations in each species, including countless organisms whose genomes and gene annotations will be constructed in the future.

Indexed as

gene annotationlivestock animalsmodel organismsnext-generation sequencing (NGS)quality assessmentreference genomeRNA-sequencing (RNA-seq)transcript diversity

Identifiers

PMID36896291
PMCPMC9988948

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.