Kategoria BISAC: Science >> Life Sciences - Anatomy & Physiology

This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and...

This contributed volume focuses on understanding the educational strengths and weaknesses of mediated content (including media as a learning supplement), in comparison to traditional face-to-face learning.  Each chapter includes research on, and a broad-brush summary of, approaches to combining life sciences education with educational technologies. 

The chapters are organized into four main sections, each of which focuses on a key question regarding the consequences of incorporating media into education. In this regard, the authors highlight how educational...

To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods.

Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes...

This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly...

This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and...

This volume details experimental protocols to study structure and function of hepatocytes in vivo and in vitro, and for characterizing heterogeneity and plasticity of hepatocytes in healthy and in injured liver. Chapters guide readers through separating hepatocyte subfractions, characterizing the heterogeneity, novel culture systems, hepatocyte-like cells from human pluripotent stem cells, analyzing drug metabolism, monitoring protein sorting, manipulating gene expression, and methods for expanding primary hepatoblastoma and identifying hepatocellular carcinoma...