DC Field | Value | Language |
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dc.contributor.author | Panchal, Nivruti B. | - |
dc.contributor.author | Patel, Sagar K. | - |
dc.contributor.author | Patel, Krupa K. | - |
dc.contributor.author | Vishvakarma, Nutan Prakash. | - |
dc.date.accessioned | 2021-08-10T06:44:17Z | - |
dc.date.available | 2021-08-10T06:44:17Z | - |
dc.date.issued | 2017-07-22 | - |
dc.identifier.citation | Panchal, N. B., Patel, S. K., Patel, K. K., Vishvakarma, M., & Prakash, N. (2017). Computational Prediction of mi RNA in Measles virus Project Report. | en_US |
dc.identifier.issn | 2455-264X | - |
dc.identifier.uri | http://www.iosrjournals.org/iosr-jbb/pages/vol-3issue-4%20Ver-1.html | - |
dc.identifier.uri | http://10.9.150.37:8080/dspace//handle/atmiyauni/664 | - |
dc.description.abstract | miRNA is small, single-stranded RNA which is found in viruses as well as in animals. The role of microRNAs at the post-transcriptional regulation has been reported in plants, animals and viruses. During viral infection, miRNAs plays role in host and pathogen interaction thus playing major role in pathogenesis. In the current work, we have used computational approach to analyze Measles virus genome. Pre-miRNA were predicted with the help of VMir software. The prediction of real and pseudomiRNA were done with the help of ncRNA seq. tool. Here total 5 novel miRNAs have been predicted. These findings will provide a reference point for further study on miRNA identification and broaden the understanding of genome in Measles. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IOSR Journal of Biotechnology and Biochemistry | en_US |
dc.subject | Measles Virus, Microrna, In Silico Prediction, Comparative Genomics | en_US |
dc.title | Computational Prediction of mi RNA in Measles virus Project Report | en_US |
dc.type | Article | en_US |
Appears in Collections: | 01. Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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VSC_BIO_4.pdf | 1.08 MB | Adobe PDF | View/Open |
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