Title :
Representability of genomic signals
Author_Institution :
Biomed. Eng. Center, Politehnica Univ. of Bucharest, Romania
Abstract :
The paper presents a simple novel approach to data representability, based on the concept of relative data variation for a pixel. Typical cases of signals are analyzed from the representability point of view, with the focus on genomic signals. It is shown that the variation of genomic data along nucleotide sequences, specifically the cumulated and unwrapped phase of complex genomic signals, can be visualized adequately as simple lines for low and large scales, while for medium scales (up to several hundred samples per pixel) the approach used for statistical data representation must be used.
Keywords :
biology computing; cellular biophysics; data structures; genetics; macromolecules; molecular biophysics; organic compounds; signal processing; statistical analysis; cumulated phase; data representability; genomic signals; nucleotide sequences; statistical data representation; unwrapped phase; Bioinformatics; Biological cells; DNA; Data analysis; Data visualization; Genomics; Large-scale systems; Sequences; Signal analysis; Signal processing; Genomic Signals; Multiresolution analysis; Signal representability;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403808