DAVID & IPython

It’s different from the story you’re used to. This one involves many sweet electronic databases and coding to get the job done. See below for all the awesome coding we did today within IPython to filter our transcripts and get them to a format that can be loaded into DAVID to functionally annotate our results and mine them for further ontologies:

And for your viewing pleasure there are also some pretty awesome graphics that were created in REVIGO to represent the number of differentially expressed functions in reference to size:

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Lastly, here are some top GO terms and  cool genes that resulted from our first run through DAVID today:

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