Sequence homology detection through large scale pattern discovery

Authors:
Aris Floratos;Isidore Rigoutsos;Laxmi Parida;Gustova Stolovitzky;Yuan Gao
Affiliations:
Computational Biology Center, IBM Research Division, T. J. Watson Research Center, P. O. Box 218, Yorktown Heights, NY and Courant Institute of Mathematical Sciences, New York University, New York ...;Computational Biology Center, IBM Research Division, T. J. Watson Research Center, P. O. Box 218, Yorktown Heights, NY;Computational Biology Center, IBM Research Division, T. J. Watson Research Center, P. O. Box 218, Yorktown Heights, NY and Courant Institute of Mathematical Sciences, New York University, New York ...;Computational Biology Center, IBM Research Division, T. J. Watson Research Center, P. O. Box 218, Yorktown Heights, NY;Computational Biology Center, IBM Research Division, T. J. Watson Research Center, P. O. Box 218, Yorktown Heights, NY
Venue:
RECOMB '99 Proceedings of the third annual international conference on Computational molecular biology
Year:
1999

Algorithms on strings, trees, and sequences: computer science and computational biology

Algorithms on strings, trees, and sequences: computer science and computational biology

Some Results on Flexible-Pattern Discovery

COM '00 Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching
Accelerating Approximate Subsequence Search on Large Protein Sequence Databases

CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Visualizing Biosequence Data Using Texture Mapping

INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
DELPHI: a pattern-based method for detecting sequence similarity

IBM Journal of Research and Development

Hi-index	0.01