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Computational Prediction of mi RNA in Measles virus Project Report

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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


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