ArticleiScience2023
FishGET: A fish gene expression and transcriptome database with improved accuracy and visualization.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- iFish: a comprehensive multi-omics database for fish genetics, transcriptional regulation, and epigenetic research.Nucleic acids research · 2026Article
- CyExpDB: a web-based multi-species tissue-specific gene expression platform for functional genomics in Cyprinidae fish.Database : the journal of biological databases and curation · 2025Article
- Fish in focus: Navigating organ damage assessment through analytical avenues - A comprehensive review.Toxicology reports · 2024Review
- CoSFISH: a comprehensive reference database of COI and 18S rRNA barcodes for fish.Database : the journal of biological databases and curation · 2024Article
- Genetic improvement and genomic resources of important cyprinid species: status and future perspectives for sustainable production.Frontiers in genetics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid expansion of transcriptome studies in many fishes, a great number of RNA-seq data have been published, allowing for a more systematic understanding of the general profiles and details of gene expression in fish. FishGET is dedicated to gathering and curating fish RNA-seq data to discover more new RNAs, including mRNA and lncRNA, thereby getting a more complete reference transcriptome and providing more comprehensive and accurate transcriptome annotations. We obtained a total of 1362 RNA-seq paired-end data of 8 fishes from 97 different studies, and then we performed transcript assembly, meta-assembly, weighted gene co-expression network analysis (WGCNA), functional annotations, neighbor location annotation, lncRNA type annotation, homology annotation. To promote research into fish genes at the transcriptional level, we developed a user-friendly web interface that allows users to view all information and makes use of multiple types of dynamic interactive visualization services.
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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.