Biological sequence similarity analysis presents visualization challenges, primarily because of the massive amounts of discrete, multi-dimensional data. Genomic data generated by ...
Ed Huai-hsin Chi, Phillip Barry, Elizabeth Shoop, ...
Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizin...
Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, Joh...
Low-Complexity Regions (LCRs) of biological sequences are the main source of false positives in similarity searches for biological sequence databases. We consider the problem of ï...
Growing interest in genomic research has resulted in the creation of huge biological sequence databases. In this paper, we present a hash-based pier model for efficient homology s...
Xia Cao, Shuai Cheng Li, Beng Chin Ooi, Anthony K....
Determining whether two DNA sequences are similar is an essential component of DNA sequence analysis. Dynamic programming is the algorithm of choice if computational time is not t...