The Biodiscovery Pipeline is Discontinuous Sampling In situ Each step may take a significant period Genetic Sequence In addition, there may be periods Data of inactivity/waiting for a variety ( In silico ) of reasons Chemistry Bioresource Repository ( Ex situ ) Biological screening Product Functional testing
Sample and Data Management Geographic Information System Laboratory Information Management System Sample and data management from origin to exploitation is possible Already part of good scientific practice but needs standards & improved data infrastructure Source: OpenNAPIS, White Point Systems
25 Compounds Real World Example Example 1 sample 100 new microbes Each microbe Each fraction Each one of sediment (10 used) grown in 4 tested in 10 gives 8 fractions assays different media 3200 1 10 320 40 Total 3596 datapoints – for 1 sample & Genetic Sequence Data
Network Analysis of PharmaSea Dataset (150,000 datapoints) shows complexity of data
Obligatory Prior Electronic Notification (OPEN) Sampling In situ Genetic Share Sequence Data Data ( In silico ) Submit OPEN Chemistry Obtain Unique Identifier Unique Bioresource Identifier Repository Needed for ( Ex situ ) Publication/IP Update OPEN (Location, metadata, species etc) Share Materials Researchers accessing material Biological screening Product provided with Unique Identifier Functional testing
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