Furthermore, a biobrick chain recommendation algorithm Sira is proposed that applies a dynamic programming process on a layered state transition graph to obtain the top k recommendation results.  In addition, a weighted filtering strategy, WFSira, is proposed to augment the performance of Sira.  The experimental results on the Registry of Standard Biological Parts show that Sira outperforms other algorithms significantly for biobrick recommendations, with approximately 30% improvement in terms of recall rate.  WFSira can further improve the recall rate of Sira by an average of 7.5% for the top 5 recommendations.
Sira
In addition, a weighted filtering strategy, WFSira, is proposed to augment the performance of Sira.  WFSira can further improve the recall rate of Sira by an average of 7.5% for the top 5 recommendations.
WFSira
The experimental results on the Registry of Standard Biological Parts show that Sira outperforms other algorithms significantly for biobrick recommendations, with approximately 30% improvement in terms of recall rate. 
Registry of Standard Biological Parts