Titlebook: Introduction to Bioinformatics in Microbiology; Henrik Christensen Textbook 20181st edition Springer Nature Switzerland AG 2018 sequencing

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书目名称Introduction to Bioinformatics in Microbiology影响因子(影响力)




书目名称Introduction to Bioinformatics in Microbiology影响因子(影响力)学科排名




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书目名称Introduction to Bioinformatics in Microbiology网络公开度学科排名




书目名称Introduction to Bioinformatics in Microbiology被引频次




书目名称Introduction to Bioinformatics in Microbiology被引频次学科排名




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书目名称Introduction to Bioinformatics in Microbiology年度引用学科排名




书目名称Introduction to Bioinformatics in Microbiology读者反馈




书目名称Introduction to Bioinformatics in Microbiology读者反馈学科排名

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Textbook 20181st editions in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second

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Textbook 20181st editionoption. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. ..The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics. .

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Introduction,tics are noncommercial in the way that they are free to use for nonprofit purposes. Many bioinformatics tools can be used for free on servers which can be accessed through the Internet. The same holds true for the databases, and a good Internet connection is mandatory.

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Short Introduction to Phylogenetic Analysis of Molecular Sequence Data, by bootstrap analysis. The major data formats used as input for phylogenetic programs are presented as well as the major program packages. Finally the reader is guided to the construct a neighbor joining tree on his own.

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16S rRNA Amplicon Sequencing for Metagenomics,rison. The distribution of reads and OTUs within and between samples can be used to estimate α- and β-diversity, respectively. The relative occurrence of the taxonomic units at the levels of genus, family, order, class, and phylum can be compared between samples. These distributions can be related to metadata by principal component analysis.

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Primer Design,, and hybridization such as microarrays and in situ hybridization. The activity demonstrates the design of oligonucleotides for PCR amplification of single DNA sequences and primerBLAST for the design of diagnostic PCR primers.

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