Mathematical Approaches to Polymer Sequence Analysis and Related Problems

  • Renato Bruni

Table of contents

  1. Front Matter
    Pages i-x
  2. Pietro Di Lena, Piero Fariselli, Luciano Margara, Marco Vassura, Rita Casadio
    Pages 23-46
  3. Gregorio Patrizi, Claudio Cifarelli, Valentina Losacco, Giacomo Patrizi
    Pages 47-67
  4. Marenglen Biba, Stefano Ferilli, Floriana Esposito
    Pages 69-85
  5. Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D’Elia, Donato Malerba
    Pages 87-109
  6. Ettore Mosca, Luciano Milanesi
    Pages 111-126
  7. Ana Graça, João Marques-Silva, Inês Lynce
    Pages 127-147
  8. Daniele Catanzaro
    Pages 149-176
  9. Erika Salvi, Alessandro Orro, Guia Guffanti, Sara Lupoli, Federica Torri, Cristina Barlassina et al.
    Pages 177-196
  10. Back Matter
    Pages 247-248

About this book


Many problems arising in biological, chemical and medical research, that could not be solved in the past due to their dimension and complexity, are nowadays tackled by means of automatic elaboration, thus creating the emerging field of Bioinformatics. However, the success of such approaches depends not only on brute computational strength of the computers on which the solution procedures run, but also, and often critically, on the mathematical quality of the models and of the algorithms underlying those solution procedures. The present volume offers a detailed overview of some of the most interesting mathematical approaches to sequence analysis and other sequence related problems. Special emphasis is devoted to problems concerning the most relevant biopolymers (proteins and genetic sequences), but the exposition is not limited to them. The target audience consists of researchers from many areas of Bioinformatics interested in sequence analysis problems either from a theoretical and mathematical point of view, such as mathematicians and computer scientists, or for more applicative and production-oriented reasons, such as biologists and medical researchers or practitioners working for chemical or pharmaceutical companies. The book should moreover be of use to mathematics students learning computational biology, or to biology students learning bioinformatics.

Editors and affiliations

  • Renato Bruni
    • 1
  1. 1.Dipto. Informatica e SistemisticaUniversità Roma, La SapienzaRomaItaly

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