Whole genome amplification and long read sequencing using ONT v2 Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.17504/protocols.io.j8nlko5q5v5r/v2
A genome reference is a prerequisite for a complete understanding of the biology and evolution of a species.However, the major challenge remains to obtain high-quality DNA and RNA from the majority of organisms. Therefore, there is a need for having a protocol to bypassed the challenging stage of obtaining axenic cultures and limited the amount of DNA material from a limit individual. This protocol build on whole genome sequencing single nematode. With multiple displacement amplification (MDA) allows the genome from a single nematode to be amplified and can sequence with both long- and short-read sequencing. This protocol can be completed within two week including genome amplification and sequencing.Also, combines MDA and Oxford Nanopore sequencing and provides a cost- and labor-effective solution to generate complete assemblies in organisms with as little as 50 picograms of starting material and assemble a draft genome assembly.
Related Topics
- Type
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- https://doi.org/10.17504/protocols.io.j8nlko5q5v5r/v2
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https://openalex.org/W4401468587Canonical identifier for this work in OpenAlex
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https://doi.org/10.17504/protocols.io.j8nlko5q5v5r/v2Digital Object Identifier
- Title
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Whole genome amplification and long read sequencing using ONT v2Work title
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preprintOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-06-26Full publication date if available
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Yi‐Chien Lee, Huei‐Mien Ke, Isheng Jason TsaiList of authors in order
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https://doi.org/10.17504/protocols.io.j8nlko5q5v5r/v2Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.17504/protocols.io.j8nlko5q5v5r/v2Direct OA link when available
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Whole genome sequencing, Computational biology, Computer science, Genome, Biology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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