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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
End-User Computing, Development, and Software Engineering: New Challenges
"This book explores the implementation of organizational and end user computing initiatives and provides foundational research to further the understanding of this discipline and its related fields"--Provided by publisher.
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
Innovative Strategies and Approaches for End-User Computing Advancements
As the use of internet applications with client server architecture and web browsers have increased the ability to draw on information, many managers now face the challenge of making effective decisions based on this data. Integrating end users into computer environments aid in the impact, design, and development that computer models have on performance and productivity. Innovative Strategies and Approaches for End-User Computing Advancements presents comprehensive research on the implementation of organizational and end user computing initiatives to further understand this discipline and its related fields. This book aims to bring together information technology educators, researchers, and practitioners who strive to advance the practice and understanding of organizational and end user computing.
Digital Humanities Workshops
Digital Humanities Workshops is the first volume to focus explicitly on the most common and accessible kind of training in digital humanities (DH): workshops. Drawing together the experiences and expertise of dozens of scholars and practitioners from a variety of disciplines and geographical contexts, the chapters in this collection examine the development, deployment, and assessment of a workshop or workshop series. In the first section, "Where?", the authors seek to situate digital humanities workshops within local, regional, and national contexts. The second section, "Who?", guides readers through questions of audience in relation to digital humanities workshops. In the third and final section, "How?", authors explore the mechanics of such workshops. Taken together, the chapters in this volume answer the important question: why are digital humanities workshops so important and what is their present and future role? Digital Humanities Workshops examines a range of digital humanities workshops and highlights audiences, resources, and impact. This volume will appeal to academics, researchers and postgraduate students, as well as professionals working in the DH field.
The Journal of Cell Biology
No. 2, pt. 2 of November issue each year from v. 19-47; 1963-70 and v. 55- 1972- contain the Abstracts of papers presented at the annual meeting of the American Society for Cell Biology, 3d-10th; 1963-70 and 12th- 1972- .
Employees' Choices in Learning How to Use Information and Communication Technology Systems at Work
The purpose of this paper is to promote the understanding of how employees learn to use information and communication technology (ICT) systems at work. The elements of a learning activity in the context of ICT use are identified from the literature. In particular, approaches to learning, learning strategies and problem-solving strategies are reviewed. The empirical part of the study examines how employees choose to start learning how to use ICT systems, and how they choose to learn while solving problems related to system use. The data were collected using qualitative semi-structured interviews with 39 employees in three organizations. The interviewees usually preferred to learn how to use ICT quickly and without investing too much effort. The interviewees preferred informal learning and problem-solving strategies. The most commonly used strategies were to try things out alone or together with peers, or to ask for help from peers. The main conclusions of the study are that the users' learning intentions affect the kind of learning support they need and that ICT learning is best approached as a learning activity strongly rooted in collaboration and the social context.
Big Data in Omics and Imaging
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the new identified genetic variants is small and a large fraction of genetic variants is still hidden. Understanding the etiology and causal chain of mechanism underlying complex diseases remains elusive. It is time to bring big data, machine learning ...
