Note: the source data for this is available on github at https://github.com/ctb/dddi
Today, the Moore Foundation announced that they have selected fourteen Moore Data Driven Discovery Investigators.
In reverse alphabetical order, they are:
Dr. Ethan White, University of Florida
Proposal: Data-intensive forecasting and prediction for ecological …
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In Extracting shotgun reads based on coverage in the data set, we showed how to get a read coverage spectrum for a shotgun data set. This is a useful diagnostic tool that can be used to estimate total genome size, average coverage, and repetitive content.
Uses for this recipe include …
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Update 3/29/15: the CAMI FAQ now includes information on reproducibility measures, and looks very promising. The data sets they are producing also seem fascinating.
If you're into metagenomics, you may have heard of CAMI, the Critical Assessment of Metagenome Interpretation. I've spoken to several people about it in …
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This is a recipe that provides a time- and memory- efficient way to loosely estimate the likely size of your assembled genome or metagenome from the raw reads alone. It does so by using digital normalization to assess the size of the coverage-saturated de Bruijn assembly graph given the reads …
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This recipe provides a time-efficient way to determine whether you've saturated your sequencing depth, i.e. how much new information is likely to arrive with your next set of sequencing reads. It does so by using digital normalization to generate a "collector's curve" of information collection.
Uses for this recipe …
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