BIOLOGICAL SEQUENCE ANALYSIS PROFESSIONAL

‘ … an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology. The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems. It can also serve as a basis for a university course for undergraduates.’

Bioinformatics is now a necessary part of the tools and training of all. ‘This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. Course Description: Biological sequence analysis (bioinformatics) is the study of the relationships between biological sequences and the implication of these relationships for macromolecular structure, function, and evolution. Concepts covered include homology, sequence similarity, parsimony, mechanisms and metrics of molecular evolution, biological data bases, database search. Human Genome Project which are producing an immense amount of data. Among the most exciting advances are large-scale DNA sequencing efforts such as the. The face of biology has been changed by the emergence of modern molecular genetics. Outline Introduction to sequence alignment problem Introduction to alignment-free sequence comparison An LZ-complexity based alignment method A 2D graphical alignment method Methods overall. Probabilistic models of proteins and nucleic acids.

This book seems destined to become a classic. Biological sequences analysis A review of two alignment-free methods for sequence comparison 2.

BIOLOGICAL SEQUENCE ANALYSIS PROFESSIONAL

For biologists who have little formal training in statistics or probability, it is a long-awaited contribution that, short of consulting a professional statistician who is well versed in molecular biology, is the best source of statistical information that is relevant to sequence-alignment problems. : Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids (9780511790492) by Durbin, Richard Eddy, Sean R. ‘This book fills an important gap in the bioinformatics literature and should be required reading for anyone who is interested in doing serious work in biological sequence analysis. The areas of biological sequence analysis include sequence alignment, sequence database searching, motif and pattern discovery, reconstruction of evolutionary.