Author: Sara El-Metwally
Publisher: Springer Science & Business
Release Date: 2014-04-19
The introduction of Next Generation Sequencing (NGS) technologies resulted in a major transformation in the way scientists extract genetic information from biological systems, revealing limitless insight about the genome, transcriptome and epigenome of any species. However, with NGS, came its own challenges that require continuous development in the sequencing technologies and bioinformatics analysis of the resultant raw data and assembly of the full length genome and transcriptome. Such developments lead to outstanding improvements of the performance and coverage of sequencing and improved quality for the assembled sequences, nevertheless, challenges such as sequencing errors, expensive processing and memory usage for assembly and sequencer specific errors remains major challenges in the field. This book aims to provide brief overviews the NGS field with special focus on the challenges facing the NGS field, including information on different experimental platforms, assembly algorithms and software tools, assembly error correction approaches and the correlated challenges.
Author: Ali Masoudi-Nejad
Publisher: Springer Science & Business Media
Release Date: 2013-07-09
The goal of this book is to introduce the biological and technical aspects of next generation sequencing methods, as well as algorithms to assemble these sequences into whole genomes. The book is organized into two parts; part 1 introduces NGS methods and part 2 reviews assembly algorithms and gives a good insight to these methods for readers new to the field. Gathering information, about sequencing and assembly methods together, helps both biologists and computer scientists to get a clear idea about the field. Chapters will include information about new sequencing technologies such as ChIp-seq, ChIp-chip, and De Novo sequence assembly.
Author: Nii O. Attoh-Okine
Publisher: John Wiley & Sons
Release Date: 2017-05-30
Genre: Business & Economics
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today’s most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad’s use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering: • Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining • Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques • Implements big data applications while addressing common issues in railway track maintenance • Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the Apache™ Hadoop® data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.
Author: Gerhard Michal
Release Date: 1999-01
Auf der Grundlage der weltbekannten "Biochemical Pathways," des "Boehringer-Posters," entstand dieses Buch. BeitrAge renommierter Wissenschaftler behandeln sAmtliche relevanten Themen aus dem Bereich Biochemie/Molekularbiologie auf dem aktuellen Stand der Forschung. Eine Vielzahl 6-farbiger (!) Grafiken veranschaulicht die A1/4beraus komplexen biochemischen VorgAnge. Damit schlAgt das Buch eine BrA1/4cke zwischen Lehrbuchstoff und Originalliteratur: als wertvolles Nachschlagewerk, als Aoeberblick A1/4ber die ZusammenhAnge in einem hAchst dynamischen Gebiet - eine Fundgrube fA1/4r alle, die in den Biowissenschaften auf dem Laufenden bleiben mA1/4ssen. Aoeber 1 Million mal wurde das sog. "Boehringer Poster," eine Aoebersicht A1/4ber die gesamte Biochemie, verkauft. Jetzt liegt das Material - natA1/4rlich komplett A1/4berarbeitet und aktualisiert - als benutzerfreundliches Buch vor.