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Pattern discovery in biomolecular data : tools, techniques, and applications
"Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a cle...
| Otros Autores: | , , |
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| Formato: | Libro |
| Lenguaje: | English |
| Publicado: |
New York :
Oxford University,
1999
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| Materias: |
Tabla de Contenidos:
- Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic
- Assembling blocks / Jorja G. Henikoff
- MEME, MAST, and Meta-MEME / Timothy L. Bailey [and others]
- Pattern discovery and classification in biosequences / Jason T.L. Wang [and others]
- Motif discovery in protein structure databases / Janice Glasgow, Evan Steeg, and Suzanne Fortier
- Systematic detection of protein structural motifs / Kentaro Tomii and Minoru Kanehisa
- Representation and matching of small flexible molecules in large databases of 3D molecular information / Isidore Rigoutsos [and others]
- Framework for biological pattern discovery on networks of workstations / Bin Li, Dennis Shasha, and Jason T.L. Want
- Discovering concepts in structural data / Diane J. Cook, Lawrence B. Holder, and Gehad Galal
- Overview / David P. Yee [and others]
- RNA structure analysis / Bruce A. Shapiro [and others].