We present a lossless compression algorithm, GenCompress, for genetic sequences, based on searching for approximate repeats. Our algorithm achieves the best compression ratios for...
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
We propose derivative Boyer-Moore (d-BM), a new compressed pattern matching algorithm in DNA sequences. This algorithm is based on the BoyerMoore method, which is one of the most ...
Finding genes unequivocally in DNA sequences is one of the key goals of the Human Genome project. The human genome is a 9 billion character long DNA sequence and is estimated to c...
James Puthukattukaran, Suresh Chalasani, Periannan...
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...
This paper presents a tool for the visual exploration of DNA sequences represented as H-curves [7]. Although very long sequences can be plotted using H-curves, micro-features are ...
-- We investigate off-line dictionary oriented approaches to DNA sequence compression, based on the Burrows-Wheeler Transform (BWT). The preponderance of short repeating patterns i...
Donald A. Adjeroh, Yong Zhang, Amar Mukherjee, Mat...
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
In this paper, we describe a broad class of problems arising in the context of designing codes for DNA computing. We primarily focus on design considerations pertaining to the phen...
Abstract. Traditional sequence comparison by alignment applies a mutation model comprising two events, substitutions and indels (insertions or deletions) of single positions (SI). ...
Michael Sammeth, Thomas Weniger, Dag Harmsen, Jens...