An effective system for managing biological data

Nowadays, life scientists grapple with a problem how to fast and easily access/obtain high quality data, especially for a specific research area, from a large amount of biological data deposited in public databases. In this work, we developed an effective system for managing biological data which are a class of functionally important membrane protein; they are hard to collected from the existing databases for slow progress of protein annotations, transitive annotation problem as well as low sequence similarity among them. Our preliminary system was designed with a user-friendly web interface and provides: 1) keywords retrieval against the annotation information of protein sequences, 2) recommendation of the related publications to help researchers conduct effective comparisons of experimental results with convenience, and 3) sequence alignment service (BLAST-based by NCBI blast+ and Hidden Markov Model-based by HMMER3.0). We had conducted a statistical analysis and showed it to the researchers in a visual way.