Together, this volume aims to provide a resource for biology students wanting a greater understanding of the encroaching area of bioinformatics, as well as computer scientists who are interested learning more about the field of applied ...
This title includes a number of Open Access chapters. The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation.
"In this book, Andy Baxevanis and Francis Ouellette . . . haveundertaken the difficult task of organizing the knowledge in thisfield in a logical progression and presenting it in a...
This book is written by a very experienced author team representing the many areas out of which the new discipline of Bioinformatics is emerging.
The field of bioinformatics continues to develop energetically. This second edition covers new findings using the formula of the original text.
Therefore, in many aspects, bioinformatics seems similar to computational biology objectives. A computational biology is concentrated on building and/or developing theoretical models for biological analyses [1,2], whereas bioinformatics ...
Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences.
Geer, L.Y., et al., CDART: protein homology by domain architecture. Genome Res, 2002. 12(10): pp. 1619–1623. 30. HomoloGene, in Encyclopedia of Genetics, Genomics, Proteomics and Informatics. 2008. Dordrecht: Springer Netherlands. pp.
INTRODUCTION Knowing how to align a pair of nucleic acid or protein sequences is a fundamentally important area of bioinformatics. For very similar sequences with runs of identical or commonly found substitutions, this is quite readily ...
Bioinformatics brings computational methods to the analysis and processing of genomic data.
"A reference that should be in the personal library of any biologist who uses the Internet for the analysis of DNA and protein sequence data" --Science
2000) allows MegaBLAST to handle longer nucleotide sequences approximately 10 times faster than BLASTN would. MegaBLAST is particularly well suited to finding whether a sequence is part of a larger contig, detecting potential sequencing ...
The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability.
Grammars of development : Discrete - state models for growth , differentiation and gene expression in modular organisms . In G. Rozenberg and A. Salomaa , editors , Lindenmayer systems : Impacts on theoretical computer science ...
Probabilistic Methods Probabilistic methods (statistical phylogenetics) explicitly define a probabilistic model of phylogenesis. At a minimum, each character is attributed a matrix of probabilities for the transformation from one state ...
Bioinformatics, the use of computers to address biological questions, has become an essential tool in biological research.
Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences.
Examine the proposition that the production and dissemination of copies of a document reporting new facts does not increase the amount of information. 2.5 Summary Information is that which removes uncertainty. It has two aspects: form ...
Praise for the third edition of Bioinformatics "This book is a gem to read and use in practice." —Briefings in Bioinformatics "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert ...
The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability.