Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/73519
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dc.contributor.authorDoan, Thi Nhung-
dc.contributor.authorBui, Van Ngoc-
dc.date.accessioned2022-02-07T08:59:26Z-
dc.date.available2022-02-07T08:59:26Z-
dc.date.issued2020-
dc.identifier.issn1811-4989-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/73519-
dc.description.abstractRecent advances in metagenomics and bioinformatics allow the robust analysis of the composition and abundance of microbial communities, functional genes, and their metabolic pathways. So far, there has been a variety of computational/statistical tools or software for analyzing microbiome, the common problems that occurred in its implementation are, however, the lack of synchronization and compatibility of output/ input data formats between such software. To overcome these challenges, in this study context, we aim to apply the DADA2 pipeline (written in R programming language) instead of using a set of different bioinformatics tools to create our own workflow for microbial community analysis in a continuous and synchronous manner.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesTạp chí Công nghệ Sinh học;Số 04(18) .- Tr.733-743-
dc.subject16S rRNAvi_VN
dc.subjectAcropora tenuisvi_VN
dc.subjectBioinformaticsvi_VN
dc.subjectCoral-associated bacteriavi_VN
dc.subjectR programming languagevi_VN
dc.titleBioinformatic approaches for analysis of coral-associated bacteria using programming languagevi_VN
dc.typeArticlevi_VN
Appears in Collections:Công nghệ sinh học

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