Ulteriori informazioni
The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part of the highly successful Methods in Molecular Biology series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.
Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.
All the tools described in the book are free and all of them can be downloaded or accessed through the web. Most chapters could be used for practical advanced undergraduate or graduate-level courses in bioinformatics and molecular evolution.
Sommario
Similarity Searching Using BLAST.- Gene Orthology Assessment with OrthologID.- Multiple Alignment of DNA Sequences with MAFFT.- SeqVis: A Tool for Detecting Compositional Heterogeneity Among Aligned Nucleotide Sequences.- Selection of Models of DNA Evolution with jModelTest.- Estimating Maximum Likelihood Phylogenies with PhyML.- Trees from Trees: Construction of Phylogenetic Supertrees Using Clann.- Detecting Signatures of Selection from DNA Sequences Using Datamonkey.- Recombination Detection and Analysis Using RDP3.- CodonExplorer: An Interactive Online Database for the Analysis of Codon Usage and Sequence Composition.- Genetic Code Prediction for Metazoan Mitochondria with GenDecoder.- Computational Gene Annotation in New Genome Assemblies Using GeneID.- Promoter Analysis: Gene Regulatory Motif Identification with A-GLAM.- Analysis of Genomic DNA with the UCSC Genome Browser.- Mining for SNPs and SSRs Using SNPServer, dbSNP and SSR Taxonomy Tree.- Analysis of Transposable Element Sequences Using CENSOR and RepeatMasker.- DNA Sequence Polymorphism Analysis Using DnaSP.
Riassunto
The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data. The storage, processing, description, transmission, connection, and analysis of these data has prompted bioinformatics to become one the most relevant applied sciences for this new century, walking hand-in-hand with modern molecular biology and clearly impacting areas like biotechnology and biomedicine. Bioinformatics skills have now become essential for many scientists working with DNA sequences. With this idea in mind, this book aims to provide practical guidance andtroubleshootingadviceforthecomputationalanalysisofDNAsequences,covering a range of issues and methods that unveil the multitude of applications and relevance that Bioinformatics has today. The analysis of protein sequences has been purposely excludedtogainfocus.Individualbookchaptersareorientedtowardthedescriptionof theuseofspecificbioinformaticstools,accompaniedbypracticalexamples,adiscussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. In a sense, chapters could be seen as enriched task-oriented manuals that will direct the reader in completing specific bioinformatics analyses. The target audience for this book is biochemists, and molecular and evolutionary biologiststhatwanttolearnhowtoanalyzeDNAsequencesinasimplebutmeaningful fashion. Readers do not need a special background in statistics, mathematics, or computer science, just a basic knowledge of molecular biology and genetics. All the tools described in the book are free and all of them can be downloaded or accessed throughtheweb.Mostchapterscouldbeusedforpracticaladvancedundergraduateor graduate-level courses in bioinformatics and molecular evolution.
