BMA - Boolean matrices as model for motif kernels

International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2008, BCBGC 2008

Volumn , Issue , 2008, Pages 36-41

  Schröder, Jan ^a   Schimmler, Manfred ^a   Schröder, Heiko ^b   Tischer, Karsten ^c  

^a UNIVERSITY OF KIEL   (Germany)

^b RMIT UNIVERSITY   (Australia)

^c FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN MATRICES; FALSE POSITIVE; MOTIF DISCOVERY; POSITION FREQUENCIES; SYNTHETIC DATA;

ALGORITHMS; HAMMING DISTANCE; ITERATIVE METHODS; MODELS; SIGNAL TO NOISE RATIO;

BIOINFORMATICS;

EID: 77956340147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Buhler J, Tompa M: Finding motifs using random projections. J Comput Biol 2002, 9:225-242.
2. Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Res 1994, 22:4673.
3. Petersohn A, Brigulla M, Haas A, Hoheisel J, Völker U, Hecker M: Global Analysis of the General Stress Response of Bacillus subtilis. JOURNAL OF BACTERIOLOGY, Oct. 2001, p. 5617-5631
4. Schröder J, Schröder H, Schimmler M, Tischer K: IGOM - Iterative generation of Position Frequency matrices, submitted to BIRD 2008. Available at this homepage: http://www.informatik.uni-kiel.de/fileadmin/ arbeitsgruppen/technical-cs/Files-Jan/IGOM-paper.pdf
5. Search results of the BMA-algorithm on real datasets: http://www.informatik.uni-kiel.de/en/schimmler/staff/jan-schroeder/