الصفحة 1
الصفحة 1
Transactions on Computational Systems Biology III
The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems-oriented point of view of biological phenomena. Dedicated especially to models and metaphors from biology to bioinformatics tools, the 10 papers selected for the special issue cover a wide range of bioinformatics research such as data visualisation, protein/RNA structure prediction, motif finding, modelling and simulation of protein interaction, genetic linkage analysis, and notations and models for systems biology.
Transactions on Computational Systems Biology II
(Publisher-supplied data) The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena. The ten papers selected for the special issue cover a wide range of bioinformatics research such as problems in RNA structure prediction, coding schemes and structural alphabets for protein structure prediction, novel techniques for efficient gene transfer in phylogenetic networks, practical algorithms minimizing recombinations in pedigree phasing, parallel implementation in Open MP for finding the corresponding shortest edit distance between two signed gene permutations, and bioinformatics problems in DNA microarrays.
Transactions on Computational Systems Biology I
The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena.This first volume of the Transactions on Computational Systems Biology is made up of papers by members of the journal's Editorial Board to provide a representative and smart start-up to the new journal.
The Gut Microbiome
The gut microbiome is now becoming known for its role in metabolism, immune defense, and behavior. From in utero variations to those that rapidly occur post-partum, our gut microbiome changes with age, environment, stress, diet, and health status as well as medication exposure. The human microbiome have a greater complexity than the human genome itself and it is composed of communities of bacteria (and viruses and fungi).The human microbiome has a very important functions such as development of immunity, host nutrition including production of short-chain fatty acids important in host energy metabolism defense against pathogens, synthesis of vitamins and fat storage as well as an influence on human behaviors, making it an essential organ of the body without which we would not function in a perfect manner.
Supramolecular Structure and Function 8
An enormous amount of new knowledge on the molecular basis of various biological phenomena has emerged in the rapidly expanding field of bioscience. Since the frontiers in scientific research are difficult to define‚ the creation of new knowledge depends not only on new methods and concepts but also on interaction with other fields of research. The principles and methods of biophysics should be a rational language for discussion not only between scientists of the different disciplines of natural sciences‚ such as physics‚ mathematics‚ biochemistry‚ molecular biology and biotechnology‚ but also for medicine and social sciences as well.
Power Laws, Scale-Free Networks and Genome Biology
Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in the post-genomic era. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. Each chapter includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to the respective problems. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena.
Molecular genetics, structures, mechanisms, and functions : Principles of gene manipulation and genomics ; Vol.1
Provides an overview of the future of genetic engineering and delves into the role of biotechnology and its applications in genetic engineering. It discusses the tools of recombinant technology, which have brought about revolution in our understanding of various complex biological phenomena. Chapters cover mutagenesis, construction, and sequencing of DNA libraries along with applications of genetic engineering for improving health, preventing genetic diseases, enhancing food resources, managing environmental bioremediation, and more. Topics include genetic engineering tools for restriction enzymes and vectors, gene and cell division, mutation detection and screening in plants, population genetics, sexuality in bacteria, and more. Several chapters focus on the tools of recombinant technology, such as restriction enzymes, vectors, etc., that have paved the way for creating organisms of choice and opened new horizons in the field of medicine, agriculture, and industry for human welfare.
Modelli Matematici in Biologia = Mathematical Models in Biology
This text is addressed first of all to the students of the Specialist Degrees in Biology of the Universities, but it will also be of interest to students of Natural Sciences and Medicine. The topics covered include the most classic mathematical models of biological phenomena (population dynamics, spread of infectious diseases, simple physiology models), but a relevant part of the text is dedicated to the mathematical approach to the theory of natural evolution. The only prerequisites required of the reader are those provided by the basic courses of Mathematics of the Bachelor's Degree in Biology, Natural Sciences or Medicine.
Microbiome
Despite the increasing interest of healthy or fat as well sick people in selecting a suitable diet for them, as nutrition is becoming an interesting area recently, in contrast to that we have noticed that there is almost a rare or no interest in Microbiome field in our country by which we can be much more accurate in selecting a diet based on comparing a map of microbiomein healthy person with ill person individually to provide a patient with the right missing food to improve his immune system, or even for a child since birth, to build the best immune system as we compared the benefits of mother’s milk, and artificial one, therefore we will focus in our study on this new science for two reasons the first is to present it and secondly to integrate it in the practice by interested doctors.
Hugo and Russell's pharmaceutical microbiology
Microbiology is one of the essential pharmaceutical sciences upon which the study and practice of pharmacy is built. It has a bearing on all aspects of the manufacture of medicines and sterile products, from their design and development to their delivery as quality products. Few interventions are more central to modern medicine than the treatment of infection, where antibiosis, vaccination and hygienic practices have essential roles to play. The COVID-19 pandemic, the appearance of new pathogens and the rise of antibiotic resistance have demonstrated most completely the need for pharmaceutical practitioners, researchers and industrial scientists to be fully conversant with this field. The 9th edition of Hugo and Russell’s Pharmaceutical Microbiology has been updated to meet this need. Having long served as the sole comprehensive textbook covering this subject, it has now been adapted to a critical new period in the advancement of medical and pharmaceutical research and development. Its experienced editors have incorporated contributions from subject experts and created a text which will serve the next generation of pharmacy students, pharmaceutical industry scientists and researchers.
Génetique statistique = Statistical genetics
Presents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, EM algorithm, modeling, analysis of variance, hierarchical classifications, multiple comparisons, etc. All of them shed light on a number of biological phenomena such as carcinogenesis, population genetics, Hardy-Weinberg equilibrium, natural selection, mutations, heredity, coalescence processes, and even evolution. This book is intended for mathematicians and biologists alike. Written with a great concern for clarity, it is also accessible to non-specialists who will be able, thanks to it, to strengthen their theoretical base and above all to develop their know-how through very concrete applications.
