期刊全稱 | Bioinformatics for DNA Sequence Analysis | 影響因子2023 | David Posada | 視頻video | http://file.papertrans.cn/188/187207/187207.mp4 | 發(fā)行地址 | Provides practical guidance and troubleshooting advice for the computational analysis of DNA sequences.Covers a wide range of methods that unveil the multitude of applications and relevance of bioinfo | 學科分類 | Methods in Molecular Biology | 圖書封面 |  | 影響因子 | 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 limit | Pindex | Book 2009 |
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