Application of discrete wavelet transform for analysis of genomic sequences of Mycobacterium tuberculosis.

ABSTRACT: This paper highlights the potential of discrete wavelet transforms in the analysis and comparison of genomic sequences of Mycobacterium tuberculosis (MTB) with different resistance characteristics. Graphical representations of wavelet coefficients and statistical estimates of their parameters have been used to determine the extent of similarity between different sequences of MTB without the use of conventional methods such as Basic Local Alignment Search Tool. Based on the calculation of the energy of wavelet decomposition coefficients of complete genomic sequences, their broad classification of the type of resistance can be done. All the given genomic sequences can be grouped into two broad categories wherein the drug resistant and drug susceptible sequences form one group while the multi

SUBMITTER: Saini S 

PROVIDER: S-EPMC4722049 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature