Sometimes I am astounded by the sheer volume of data that we create in science nowadays. Where a few years ago we were sequencing individual genes, made up of a few thousand letters, now with a single Illumina run we can generate terabytes of data.
But what to do with that data? A lot of genomics at the moment is concerned with targeted resequencing, and bulk segregant analysis. Producing genome #1 is a lot of hard work, and doesn’t tell us all that much. Producing genomes #2 to #10 for the same species tells us a lot more: Why does wheat cultivar 1 have a higher yield than wheat cultivar 2? Why is apple variety 1 susceptible to a disease when apple variety 2 is not? Continue reading