Please use this identifier to cite or link to this item:
http://223.31.159.10:8080/jspui/handle/123456789/1660
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arya, Ajay | - |
dc.contributor.author | Arora, Simran | - |
dc.contributor.author | Hamid, Fiza | - |
dc.contributor.author | Kumar, Shailesh | - |
dc.date.accessioned | 2024-11-05T05:21:45Z | - |
dc.date.available | 2024-11-05T05:21:45Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | 3 Biotech, 14(11): 282 | en_US |
dc.identifier.issn | 2190-5738 | - |
dc.identifier.other | https://doi.org/10.1007/s13205-024-04132-1 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s13205-024-04132-1 | - |
dc.identifier.uri | http://223.31.159.10:8080/jspui/handle/123456789/1660 | - |
dc.description | Accepted date: 20 October 2024 | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | The authors are thankful to the Department of Biotechnology (DBT)-eLibrary Consortium, India, for providing access to e-resources. SA and FH are thankful to the University Grants Commission (UGC), India, and the Department of Biotechnology (DBT), India, respectively, for research fellowships. The authors acknowledge the Computational Biology & Bioinformatics Facility (CBBF) of the National Institute of Plant Genome Research (NIPGR). This research is supported by the BT/PR40146/BTIS/137/4/2020 project grant from the Department of Biotechnology (DBT), Government of India, and EEQ/2019/000231 Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature Publishing AG | en_US |
dc.subject | Fusion transcripts | en_US |
dc.subject | Chimeric RNAs | en_US |
dc.subject | Fusion tools | en_US |
dc.subject | Plant database | en_US |
dc.subject | Genome regulation | en_US |
dc.title | PFusionDB: a comprehensive database of plant-specific fusion transcripts | en_US |
dc.type | Article | en_US |
Appears in Collections: | Institutional Publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kumar Shai_2024_2.pdf Restricted Access | 1.81 MB | Adobe PDF | View/Open Request a copy |
Items in IR@NIPGR are protected by copyright, with all rights reserved, unless otherwise indicated.