Searching in Protein Databases: Algorithms for secure protein submission and faster searching

Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases.

Akash Nag completed his Bachelors in Computer Applications from the University of Burdwan and his Masters in Computer Science from the University of Calcutta. He is currently a research scholar at the Dept. of Computer Science at the University of Burdwan, and is also a guest faculty in the Dept. of Computer Science at MUC Women’s College, Burdwan.