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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.
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
Under a Riviera Moon
Pre-order the BRAND NEW read from Saturday Kitchen's Helen McGinn When a heartsick Maggie is sent on an errand by her mother to Cannes, she is keen to get it over with as quickly as possible. She has been tasked with collecting a treasured box of photos from her late grandmother Elizabeth’s best friend, the impossibly glamorous Allegra Morgon who is desperate to tell Maggie all about the year she and Elizabeth spent in Paris. The sixties were in full swing, the air hummed with jazz, artists and students made the streets their own, and the City of Love was weaving its magic. And against this backdrop, two people were beginning a love story that would last a lifetime - but be over too soon. ...
Computational and Visualization Techniques for Structural Bioinformatics Using Chimera
A Step-by-Step Guide to Describing Biomolecular StructureComputational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural bioinformatics: biochemistry, mathematics, and computation.Und
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
Rome: Continuing Encounters between Past and Present
Few other cities can compare with Rome's history of continuous habitation, nor with the survival of so many different epochs in its present. This volume explores how the city's past has shaped the way in which Rome has been built, rebuilt, represented and imagined throughout its history. Bringing together scholars from the disciplines of architectural history, urban studies, art history, archaeology and film studies, this book comprises a series of studies on the evolution of the city of Rome and the ways in which it has represented and reconfigured itself from the medieval period to the present day. Moving from material appropriations such as spolia in the medieval period, through the carto...
Stochastic Dynamics for Systems Biology
This 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 system. Examples cover the phage lambda genetic switch, eukaryotic gene expression, noise propagation in gene networks, and more. Most of the text should be accessible to scientists with basic knowledge in calculus and probability theory.
Innovation in Healthtech
Sophisticated data analysis is revolutionizing healthcare decision- making, personalized treatments, and operational efficiency. Innovations in HealthTech covers this impact and highlights the significance of robust security measures in safeguarding sensitive medical data and ensuring patient confidentiality. The book provides insights into the development, implementation, and future potential of telemedicine infrastructure. Explores the role of wearable technology in promoting patient engagement and wellness and addressing the critical issue of data security. Offers practical technical insights that provide a deeper understanding of the real-world applications and challenges in the healthca...
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
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 current trends in Bayesian phylogenetic research. Encouraging interdisciplinary research, this book introduces state-of-the-art phylogenetics to the Bayesian statistical community and, likewise, presents state-of-the-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. In addition, the book covers divergence time estimation, biologically realistic models, and the burgeoning interface between phylogenetics and population genetics.
