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discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these;
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Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical;
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custom programs with ease. Working with Data applies the programming skills acquired to processing a variety of bioinformatics data. In addition;
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Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software;
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This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that;
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in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the;
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Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;
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Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular;
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The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data;
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confirm they're correct Address bioinformatics ideas using Python data structures and modules such as Biopython Create reproducible shortcuts;
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Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;
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Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;
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Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R;
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the technological advancement, but also to the companion data analytical skills and computational methods which are collectively called;
Vergelijkbare producten zoals Computational Biology and Bioinformatics: Gene Regulation
the technological advancement, but also to the companion data analytical skills and computational methods which are collectively called;
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Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;
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Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;
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The rapid advancement of sequencing techniques, coupled with the new methodologies of bioinformatics to handle large-scale data analysis;
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from different types of genomic data using bioinformatics; bioinformatics analysis of gene networks involved in genomic stability and cancer;
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Historically, programming hasn't been considered a critical skill for biologists. But now, with access to vast amounts of biological data;
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explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: Bio-ontology and data mining;
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including data standards. The applications covered are sequence analysis and annotation, transcriptomics, proteomics, metabolite study;
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practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the;
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. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale;
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learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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