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Team:Heidelberg/Templates/NRPS-W-14
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== Database redesign == | == Database redesign == | ||
| - | + | The domains are now saved all in one table and they each have a domain type specified. Due to this setup the database can now also cover modification domains. | |
== GUI extension == | == GUI extension == | ||
| - | + | The php scripts were extended to allow for entries to the new database. Additionally an XML export funciton was added to the design interface. | |
== Draft of PFAM querying == | == Draft of PFAM querying == | ||
In the experimental parts, we determined a first rough estimate of NRPS domain boundaries based on Pfam. Thus we also wanted our software to use the Pfam predictions to make it easier to semi-automatically add new domains into our database. A first test Python script was written which queried the Pfam API using the Requests library according to the online documentation and then parsed the XML output. The Biopython library also proved to be of great help. | In the experimental parts, we determined a first rough estimate of NRPS domain boundaries based on Pfam. Thus we also wanted our software to use the Pfam predictions to make it easier to semi-automatically add new domains into our database. A first test Python script was written which queried the Pfam API using the Requests library according to the online documentation and then parsed the XML output. The Biopython library also proved to be of great help. | ||
Latest revision as of 03:07, 29 October 2013
Database redesign
The domains are now saved all in one table and they each have a domain type specified. Due to this setup the database can now also cover modification domains.
GUI extension
The php scripts were extended to allow for entries to the new database. Additionally an XML export funciton was added to the design interface.
Draft of PFAM querying
In the experimental parts, we determined a first rough estimate of NRPS domain boundaries based on Pfam. Thus we also wanted our software to use the Pfam predictions to make it easier to semi-automatically add new domains into our database. A first test Python script was written which queried the Pfam API using the Requests library according to the online documentation and then parsed the XML output. The Biopython library also proved to be of great help.
