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3-D maps and coupling numbers for protein sequences
Based on a five-letter model of the 20 amino acids, we propose a new 3-D graphical representation of protein sequence. Then we derive from the graphical representation, numerical indices called 3-DExpand
Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.
TLDR
By means of the Markov maximal order model, a 48-D feature vector is constructed to represent a DNA template and a reliable and efficient method to predict the success of PCR reactions is developed. Expand
A Burrows-Wheeler Transform Based Method for DNA Sequence Comparison
Burrows-Wheeler Transform (BWT) is an extremely useful tool for textual lossless data compression. Recently, it has found many applications to bioinformatics. In this paper, BWT is introduced fromExpand