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. 2018 Jan 1;2018:bay114.
doi: 10.1093/database/bay114.

ZFLNC: A Comprehensive and Well-Annotated Database for Zebrafish lncRNA

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Free PMC article

ZFLNC: A Comprehensive and Well-Annotated Database for Zebrafish lncRNA

Xiang Hu et al. Database (Oxford). .
Free PMC article

Abstract

There is emerging evidence showing that lncRNAs can be involved in various critical biological processes. Zebrafish is a fully developed model system being used in a variety of basic research and biomedical studies. Hence, it is an ideal model organism to study the functions and mechanisms of lncRNAs. Here, we constructed ZFLNC-a comprehensive database of zebrafish lncRNA that is dedicated to providing a zebrafish-based platform for deep exploration of zebrafish lncRNAs and their mammalian counterparts to the relevant academic communities. The main data resources of lncRNAs in this database come from the NCBI, Ensembl, NONCODE, zflncRNApedia and literature. We also obtained lncRNAs as a supplement by analysing RNA-Seq datasets from SRA database. With these IncRNAs, we further carried out expression profiling, co-expression network prediction, Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG)/Online Mendelian Inheritance in Man (OMIM) annotation and conservation analysis. As far as we know, ZFLNC is the most comprehensive and well-annotated database for zebrafish lncRNA.

Figures

Figure 1
Figure 1
Implementation of the database. (A) Data sources. (B) LncRNA annotation. (C) Architecture of the database. (D) Function of the database.
Figure 2
Figure 2
Usage of the database. (A) Filtering conserved functional lncRNA candidate through ‘Advanced functional lncRNA filtering’ function. (B) Finding zebrafish lncRNA through BLAST sequence similarity search. (C) Finding zebrafish lncRNA through sequence positions in GBrowser. (D) Converting IDs among diverse databases by using ‘ID Conversion’.

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