Biolets: Statistical Approach to Biological Random Sequence Generation

Biolets: Statistical Approach to Biological Random Sequence Generation

Simulations of originally existent biological sequences are helpful for computational analysis and manipulations, rather than wet lab experiments, considerably reducing the cost and time associated with traditional wet lab experiments. The basic idea is to compare the results of a run on real data to many runs on random data. This paper discusses the need for random biological sequence analysis...

H-tuple approach to evaluate statistical significance of biological sequence comparison with gaps.

We propose an approximate distribution for the gapped local score of a two sequence comparison. Our method stands on combining an adapted scoring scheme that includes the gaps and an approximate distribution of the ungapped local score of two independent sequences of i.i.d. random variables. The new scoring scheme is defined on h-tuples of the sequences, using the gapped global score. The influ...

Statistical significance in biological sequence analysis

One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of evolutionary relations among the sequences. Since the degree of similarity is usually assessed by the sequence alignment score, it is necessary to know if a score is high enough to indicate a biologically interesting a...

Statistical Significance in Biological Sequence Comparison1

A statistical approach to classify Skype traffic

Abstract- Skype is one of the most powerful and high-quality chat tools that allows its users to use of many services such as: transferring audio, sending messages, video conferencing and audio for free. Skype traffic has a lot of Internet traffic. Hence, Internet service providers need to identify traffic to do the quality of service and network management. On the other hand, Skype developers ...