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High-Performance Computing Infrastructure for South East Europe's Research Communities
This book is a collection of carefully reviewed papers presented during the HP-SEE User Forum, the meeting of the High-Performance Computing Infrastructure for South East Europe’s (HP-SEE) Research Communities, held in October 17-19, 2012, in Belgrade, Serbia. HP-SEE aims at supporting and integrating regional HPC infrastructures; implementing solutions for HPC in the region; and making HPC resources available to research communities in SEE, region, which are working in a number of scientific fields with specific needs for massively parallel execution on powerful computing resources. HP-SEE brings together research communities and HPC operators from 14 different countries and enables them to share HPC facilities, software, tools, data and research results, thus fostering collaboration and strengthening the regional and national human network; the project specifically supports research groups in the areas of computational physics, computational chemistry and the life sciences. The contributions presented in this book are organized in four main sections: computational physics; computational chemistry; the life sciences; and scientific computing and HPC operations.
Biopharmaceutical Informatics
Despite the phenomenal clinical success of antibody-based biopharmaceuticals in recent years, discovery and development of these novel biomedicines remains a costly, time-consuming, and risky endeavor with low probability of success. To bring better biomedicines to patients faster, we have come up with a strategic vision of Biopharmaceutical Informatics which calls for syncretic use of computation and experiment at all stages of biologic drug discovery and pre-clinical development cycles to improve probability of successful clinical outcomes. Biopharmaceutical Informatics also encourages industry and academic scientists supporting various aspects of biotherapeutic drug discovery and developm...
Microbiome and Machine Learning, Volume II
Due to the success of Microbiome and Machine Learning, which collected research results and perspectives of researchers working in the field of machine learning (ML) applied to the analysis of microbiome data, we are launching the second volume to collate any new findings in the field to further our understanding and encourage the participation of experts worldwide in the discussion. The success of ML algorithms in the field is substantially due to their capacity to process high-dimensional data and deal with uncertainty and noise. However, to maximize the combinatory potential of these emerging fields (microbiome and ML), researchers have to deal with some aspects that are complex and inherently related to microbiome data. Microbiome data are convoluted, noisy and highly variable, and non-standard analytical methodologies are required to unlock their clinical and scientific potential. Therefore, although a wide range of statistical modelling and ML methods are available, their application is only sometimes optimal when dealing with microbiome data.
In Silico Drug Design
In Silico Drug Design: Repurposing Techniques and Methodologies explores the application of computational tools that can be utilized for this approach. The book covers theoretical background and methodologies of chem-bioinformatic techniques and network modeling and discusses the various applied strategies to systematically retrieve, integrate and analyze datasets from diverse sources. Other topics include in silico drug design methods, computational workflows for drug repurposing, and network-based in silico screening for drug efficacy. With contributions from experts in the field and the inclusion of practical case studies, this book gives scientists, researchers and R&D professionals in t...
Ranking of researchers and scientists in Greece in 2017 according to Google Scholar database
Scope: The classification of researchers and scientists in Greece in a unified list based on the citation impact and dissemination level of their scientific work according to Google Scholar database. Classification criteria: First criterion is h-index. In the case of equal h-index, the following scientometric indicators are used for the classification. The number of total citations, the i10-index, the total impact factor of scientist, the m-index or m-quotient of scientist. Information resource: The h-index, citations and i10-index derived from the public profiles of researchers in the Google Scholar database. In addition, the calculation of total impact factor and m-index of each researcher...
RNA Bioinformatics
This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing. Interest in RNA bioinformatics has rapidly increased thanks to the recent high-throughput sequencing technologies allowing scientists to investigate complete transcriptomes at single nucleotide resolution. Adopting advanced computational technics, scientists are now able to conduct more in-depth studies and present them to you in this book. Written in the highly successful Methods of Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and equipment, step-by-step, readily reproducible bioinformatics protocols, and key tips to avoid known pitfalls. Authoritative and practical, RNA Bioinformatics seeks to aid scientists in the further study of bioinformatics and computational biology of RNA.
The Travels and Adventures of Serendipity
From the names of cruise lines and bookstores to an Australian ranch and a nudist camp outside of Atlanta, the word serendipity--that happy blend of wisdom and luck by which something is discovered not quite by accident--is today ubiquitous. This book traces the word's eventful history from its 1754 coinage into the twentieth century--chronicling along the way much of what we now call the natural and social sciences. The book charts where the term went, with whom it resided, and how it fared. We cross oceans and academic specialties and meet those people, both famous and now obscure, who have used and abused serendipity. We encounter a linguistic sage, walk down the illustrious halls of the ...
Dark Remedy
In this riveting medical detective story, Trent Stephens and Rock Brynner recount the history of thalidomide, from the epidemic of birth defects in the 1960's to the present day, as scientists work to create and test an alternative drug that captures thalidomide's curative properties without its cruel side effects. A parable about compassion-and the absence of it-Dark Remedy is a gripping account of thalidomide's extraordinary impact on the lives of individuals and nations over half a century.
