Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/664
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dc.contributor.authorPanchal, Nivruti B.-
dc.contributor.authorPatel, Sagar K.-
dc.contributor.authorPatel, Krupa K.-
dc.contributor.authorVishvakarma, Nutan Prakash.-
dc.date.accessioned2021-08-10T06:44:17Z-
dc.date.available2021-08-10T06:44:17Z-
dc.date.issued2017-07-22-
dc.identifier.citationPanchal, 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.issn2455-264X-
dc.identifier.urihttp://www.iosrjournals.org/iosr-jbb/pages/vol-3issue-4%20Ver-1.html-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/664-
dc.description.abstractmiRNA 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.isoen_USen_US
dc.publisherIOSR Journal of Biotechnology and Biochemistryen_US
dc.subjectMeasles Virus, Microrna, In Silico Prediction, Comparative Genomicsen_US
dc.titleComputational Prediction of mi RNA in Measles virus Project Reporten_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

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