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COV2HTML: A Visualization and Analysis Tool of Bacterial Next Generation Sequencing (NGS) Data for Postgenomics Life Scientists

Abstract : COV2HTML is an interactive web interface, which is addressed to biologists, and allows performing both coverage visualization and analysis of NGS alignments performed on prokaryotic organisms (bacteria and phages). It combines two processes: a tool that converts the huge NGS mapping or coverage files into light specific coverage files containing information on genetic elements; and a visualization interface allowing a real-time analysis of data with optional integration of statistical results. To demonstrate the scope of COV2HTML, the program was tested with data from two published studies. The first data were from RNA-seq analysis of Campylobacter jejuni, based on comparison of two conditions with two replicates. We were able to recover 26 out of 27 genes highlighted in the publication using COV2HTML. The second data comprised of stranded TSS and RNA-seq data sets on the Archaea Sulfolobus solfataricus. COV2HTML was able to highlight most of the TSSs from the article and allows biologists to visualize both TSS and RNA-seq on the same screen. The strength of the COV2HTML interface is making possible NGS data analysis without software installation, login, or a long training period. A web version is accessible at https://mmonot.eu/COV2HTML/. This website is free and open to users without any login requirement.
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Contributor : Marc Monot <>
Submitted on : Monday, October 17, 2016 - 2:23:31 PM
Last modification on : Wednesday, June 24, 2020 - 3:02:05 PM

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Marc Monot, Mickael Orgeur, Emilie Camiade, Clément Brehier, Bruno Dupuy. COV2HTML: A Visualization and Analysis Tool of Bacterial Next Generation Sequencing (NGS) Data for Postgenomics Life Scientists. OMICS, Mary Ann Liebert, 2014, 18 (3), pp.184-195. ⟨10.1089/omi.2013.0119⟩. ⟨pasteur-01370754⟩

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