Title :
Improvement of TRANSFAC matrices using multiple local alignment of transcription factor binding site sequences
Author :
Fu, Y. ; Weng, Z.
Author_Institution :
Bioinformatics Program, Boston Univ., MA, USA
Abstract :
This paper describes a novel approach to constructing position-specific weight matrices (PWM) based on the transcription factor binding site (TFBS) data provide by the TRANSFAC database, and the comparison of the thus generated PWMs with the original TRANSFAC matrices. Multiple local sequence alignment was performed on the TFBSs of each transcription factor. Several different alignment programs were tested and their matrices were compared to the original TRANSFAC matrices. One of the alignment programs, GLAM, produced comparable matrices in terms of the average ranking of true positive sites across the whole test set of sequences.
Keywords :
biology computing; database management systems; genetics; macromolecules; matrix algebra; molecular biophysics; TRANSFAC database; gapless local alignment program; multiple local sequence alignment; position-specific weight matrices; transcription factor binding site sequences; Bioinformatics; Databases; Dynamic programming; Genomics; Information retrieval; Matrix converters; Performance evaluation; Pulse width modulation; Sampling methods; Testing; GLAM; PWM; TRANSFAC;
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.2004.1403814