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https://gtonkinhill.github.io/blog/how-many-genes

How many gene annotations are there?

Grace Blackwell recently gave a really interesting talk on her work generating a standardised and curated database of 661,405 bacterial genome assemblies using read data retrieved from the European Nucleotide Archive (ENA). This dataset is already proving to be very useful. Grace has plans to generate gene annotations for the assemblies but was still deciding on the best approach for doing this in a standardised way across the very diverse dataset.



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How many gene annotations are there?

https://gtonkinhill.github.io/blog/how-many-genes

Grace Blackwell recently gave a really interesting talk on her work generating a standardised and curated database of 661,405 bacterial genome assemblies using read data retrieved from the European Nucleotide Archive (ENA). This dataset is already proving to be very useful. Grace has plans to generate gene annotations for the assemblies but was still deciding on the best approach for doing this in a standardised way across the very diverse dataset.



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https://gtonkinhill.github.io/blog/how-many-genes

How many gene annotations are there?

Grace Blackwell recently gave a really interesting talk on her work generating a standardised and curated database of 661,405 bacterial genome assemblies using read data retrieved from the European Nucleotide Archive (ENA). This dataset is already proving to be very useful. Grace has plans to generate gene annotations for the assemblies but was still deciding on the best approach for doing this in a standardised way across the very diverse dataset.

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      Grace Blackwell recently gave a really interesting talk on her work generating a standardised and curated database of 661,405 bacterial genome assemblies using read data retrieved from the European Nucleotide Archive (ENA). This dataset is already proving to be very useful. Grace has plans to generate gene annotations for the assemblies but was still deciding on the best approach for doing this in a standardised way across the very diverse dataset.
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