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Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.

Biology --- Bioinformatics --- Statistical methods.

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Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Molecular biology --- Computer. Automation --- Bioinformatics. --- Computational Biology.

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Bioinformatics is contributing to some of the most important advances in medicine and biology._At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature_solves the problems it faces._This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up & intelligent bioinformatics'. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipline._Three introductory chapters on biology, bioinformatics and the complexities of search and optimisation equip the reader with the necessary knowledge to proceed through the remaining eight chapters, each of which is dedicated to an intelligent technique in bioinformatics._ The book also contains many links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference for the 'intelligent bioinformatician'. Intelligent Bioinformatics will appeal to all postgraduate students and researchers in bioinformatics and genomics as well as to computer scientists interested in these disciplines, and all natural scientists with large data sets to analyse.

Biomathematics. Biometry. Biostatistics --- Information systems --- Artificial intelligence --- Bioinformatics. --- Biological applications.

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Genomics, Proteomics & Bioinformatics welcomes submissions from all over the world on the topics of genomics, proteomics, and bioinformatics in the following types: High-quality research papers presenting novel data and ideas Papers describing innovative methods and techniques as well as resources providing primary scientific information to a broad readership Comprehensive reviews either as full articles or mini-reviews related with author's own research Commentaries and opinions about new discoveries, scientific policies, and research proposals

Genomics --- Proteomics --- Computational Biology --- Bioinformatics --- Genetics --- Génomique --- Protéomique --- Bio-informatique --- Génétique --- Periodicals. --- Périodiques --- Bioinformatics. --- Genetics. --- Genomics. --- Proteomics. --- Life Sciences --- Biology --- genomics --- proteomics --- bioinformatics --- epigenomics --- protein structures --- bio-informatica --- proteomics

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Periodicals --- Bioinformatics --- Biomedical Engineering. --- Engineering. --- Nanoscience --- Ultrastructure (Biology) --- Engineering --- Life Sciences --- Biomedical Engineering --- Biology --- nanotechniek --- Electrical engineering --- Elektrotechniek --- Ultrastructure (Biology) - Periodicals --- Nanoscience - Periodicals --- Bioinformatics - Periodicals