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Managing Your Biological Data with Python
Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how
Managing Your Biological Data with Python
Take Control of Your Data and Use Python with Confidence Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how to read data from files in different formats, analyze and manipulate the data, and write the results to a file or computer screen. The first part of the text introduces the Python language and teaches readers how to write their first programs. The second part presents the basic elements of the language, enabling readers to write small programs ind...
Stochastic Dynamics for Systems Biology
Stochastic Dynamics for Systems Biology is one of the first books to provide a systematic study of the many stochastic models used in systems biology. The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual insights on the functioning of the cellular processing
Bioinformatics Research and Development
This volume contains the papers which were selected for presentation at the second Bio- formatics Research and Development (BIRD) conference held in Vienna, Austria during July 7–9, 2008. BIRD covers a wide range of topics related to bioinformatics. This year sequence analysis and alignment, pathways, networks, systems biology, protein and RNA structure and function, gene expression/regulation and microarrays, databases and data integration, machine learning and data analysis were the subjects of main interest. The decisions of the Program Committee are based on the recommendations of at least three, up to five, reviews for each paper. As a result, 30 of the 61 submitted c- tributions coul...
Bayesian Phylogenetics
Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian Phylogenetics: Methods, Algorithms, and Applications presents a snapshot of c
No Go World
From the Afghan-Pakistan borderlands to the Sahara, images of danger depict a new world disorder on the global margins. With vivid detail, Ruben Andersson traverses this terrain to provide a startling new understanding of what is happening in remote "danger zones." Andersson takes aim at how Western states and international organizations conduct military, aid, and border interventions in a dangerously myopic fashion, further disconnecting the world's rich and poor. Risk-obsessed powers are helping to remap the world into zones of insecurity and danger, resulting in a vision of chaos crashing into fortified borders. Andersson contends that we must reconnect and snap out of this dangerous spiral, which affects us no matter where we are. Only by developing a new cartography of hope can we move beyond the political geography of fear that haunts us. From back cover.
Handbook of Research on Children's and Young Adult Literature
This multidisciplinary handbook pulls together in one volume the research on children's and young adult literature which is currently scattered across three intersecting disciplines: education, English, and library and information science.
RNA-seq Data Analysis
The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Demystifies Biomedical and Biological Big Data AnalysesBig Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implem
The Internet for Cellular and Molecular Biologists
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