ArticleCurrent issues in molecular biology2022
GCEN: An Easy-to-Use Toolkit for Gene Co-Expression Network Analysis and lncRNAs Annotation.
Article in Current issues in molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
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- Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma.BMC medical genomics · 2025Article
- Endophytic Bacteria Enterobacter cloacae PN7 Promotes Biosynthesis and Accumulation of Saponins in Panax notoginseng.Current microbiology · 2024Article
- Transcriptomic study reveals alteration in the expression of long non-coding RNAs (lncRNAs) during reversal of HIV-1 latency in monocytic cell line.Molecular biology reports · 2024Article
- eRNA-IDO: A One-stop Platform for Identification, Interactome Discovery, and Functional Annotation of Enhancer RNAs.Genomics, proteomics & bioinformatics · 2024Article
- Expression of Iron Metabolism Genes Is Potentially Regulated by DOF Transcription Factors inInternational journal of molecular sciences · 2024Article
- PMHeliyon · 2024Article
- Genome-Wide Identification and Analysis of Lbd Transcription Factor Genes inPlants (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene co-expression network analysis has been widely used in gene function annotation, especially for long noncoding RNAs (lncRNAs). However, there is a lack of effective cross-platform analysis tools. For biologists to easily build a gene co-expression network and to predict gene function, we developed GCEN, a cross-platform command-line toolkit developed with C++. It is an efficient and easy-to-use solution that will allow everyone to perform gene co-expression network analysis without the requirement of sophisticated programming skills, especially in cases of RNA-Seq research and lncRNAs function annotation. Because of its modular design, GCEN can be easily integrated into other pipelines.
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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.