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Title: | PFusionDB: a comprehensive database of plant-specific fusion transcripts |
Authors: | Arya, Ajay Arora, Simran Hamid, Fiza Kumar, Shailesh |
Keywords: | Fusion transcripts Chimeric RNAs Fusion tools Plant database Genome regulation |
Issue Date: | 2024 |
Publisher: | Springer Nature Publishing AG |
Citation: | 3 Biotech, 14(11): 282 |
Abstract: | Fusion transcripts (FTs) are well known cancer biomarkers, relatively understudied in plants. Here, we developed PFusionDB (www.nipgr.ac.in/PFusionDB), a novel plant-specific fusion-transcript database. It is a comprehensive repository of 80,170, 39,108, 83,330, and 11,500 unique fusions detected in 1280, 637, 697, and 181 RNA-Seq samples of Arabidopsis thaliana, Oryza sativa japonica, Oryza sativa indica, and Cicer arietinum respectively. Here, a total of 76,599 (Arabidopsis thaliana), 35,480 (Oryza sativa japonica), 72,099 (Oryza sativa indica), and 9524 (Cicer arietinum) fusion transcripts are non-recurrent i.e., only found in one sample. Identification of FTs was performed by using a total of five tools viz. EricScript-Plants, STAR-Fusion, TrinityFusion, SQUID, and MapSplice. At PFusionDB, available fundamental details of fusion events includes the information of parental genes, junction sequence, expression levels of fusion transcripts, breakpoint coordinates, strand information, tissue type, treatment information, fusion type, PFusionDB ID, and Sequence Read Archive (SRA) ID. Further, two search modules: ‘Simple Search’ and ‘Advanced Search’, along with a ‘Browse’ option to data download, are present for the ease of users. Three distinct modules viz. ‘BLASTN’, ‘SW Align’, and ‘Mapping’ are also available for efficient query sequence mapping and alignment to FTs. PFusionDB serves as a crucial resource for delving into the intricate world of fusion transcript in plants, providing researchers with a foundation for further exploration and analysis. Database URL: www.nipgr.ac.in/PFusionDB. |
Description: | Accepted date: 20 October 2024 |
URI: | https://link.springer.com/article/10.1007/s13205-024-04132-1 http://223.31.159.10:8080/jspui/handle/123456789/1660 |
ISSN: | 2190-5738 |
Appears in Collections: | Institutional Publications |
Files in This Item:
File | Description | Size | Format | |
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Kumar Shai_2024_2.pdf Restricted Access | 1.81 MB | Adobe PDF | View/Open Request a copy |
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