Getting quality sequence information has proved more problematic than one might expect. The most essential piece of information associated with a biological part is its sequence. This pioneering experiment led to the idea of reporting data describing parts’ functions as standardized datasheets ( 6). The Registry of Standard Biological Parts ( supporting the iGEM competition was the first attempt at standardizing parts data ( 5). Synthetic biologists have also recognized the need to use standard representations to describe parts. Initially, parts standardization focused on specific assembly strategies such as the BioBrick ( 3) or BglBrick ( 4) standards. Biological parts are annotated DNA sequences that can be combined to make larger genetic systems ( 1, 2). The concept of standard biological parts is central to synthetic biology. As proof, the library was converted into GenoCAD grammar files to allow users to import and customize the library based on the needs of their research projects. The library was formatted using the Synthetic Biology Open Language, an emerging standard developed to better organize libraries of genetic parts to facilitate synthetic biology workflows. We derived a library of biological parts from the database of plasmid features. We segmented the plasmid features by expression hosts. We looked at the variability of plasmid features, their usage statistics and their distributions by feature type. We have analyzed the annotations of a library of ∼2000 widely used plasmids to build a non-redundant database of plasmid features. Furthermore, legacy bioinformatics file formats like GenBank do not provide enough information about the purpose of features. These databases often lack consistency in the way they identify and describe sequences. The sequences and descriptions of genetic parts are often derived from features of previously described plasmids using ad hoc, error-prone and time-consuming curation processes because existing databases of plasmids and features are loosely organized. Synthetic biologists rely on databases of biological parts to design genetic devices and systems.
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