Evidence map›Paper›PMID 34718719›Full record

ArticleNucleic acids research2022

MetazExp: a database for gene expression and alternative splicing profiles and their analyses based on 53 615 public RNA-seq samples in 72 metazoan species.

Jinding Liu, Fei Yin, Kun Lang, Wencai Jie, Suxu Tan, Rongjing Duan, Shuiqing Huang, Wen Huang

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. 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
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  4. Article
  5. Article
  6. Carotenoids in Health as Studied by Omics-Related Endpoints.Advances in nutrition (Bethesda, Md.) · 2023
    Review
  7. Review
  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

8 authors.

Jinding LiuCollege of Information Management, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Fei YinResearch Center for Correlation of Domain Knowledge, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Kun LangCollege of Information Management, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Wencai JieState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China.
Suxu TanDepartment of Animal Science, Michigan State University, East Lansing, MI 48824, USA.
Rongjing DuanAcademy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Shuiqing HuangCollege of Information Management, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Wen HuangDepartment of Animal Science, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-6788-8364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-seq has been widely used in experimental studies and produced a massive amount of data deposited in public databases. New biological insights can be obtained by retrospective analyses of previously published data. However, the barrier to efficiently utilize these data remains high, especially for those who lack bioinformatics skills and computational resources. We present MetazExp (https://bioinfo.njau.edu.cn/metazExp), a database for gene expression and alternative splicing profiles based on 53 615 uniformly processed publicly available RNA-seq samples from 72 metazoan species. The gene expression and alternative splicing profiles can be conveniently queried by gene IDs, symbols, functional terms and sequence similarity. Users can flexibly customize experimental groups to perform differential and specific expression and alternative splicing analyses. A suite of data visualization tools and comprehensive links with external databases allow users to efficiently explore the results and gain insights. In conclusion, MetazExp is a valuable resource for the research community to efficiently utilize the vast public RNA-seq datasets.

Indexed as

Databases, GeneticSoftwareAlternative SplicingAnimalsGene ExpressionRNA-SeqSequence Analysis, RNATranscriptome

Identifiers

PMID34718719
PMCPMC8728262

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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.