Applied Bioinformatics Statistics Economics In Fisheries Research

With reference to India; contributed articles.

The book includes econometric approach for technical efficiency estimation and input-output analysis, project evaluation, and impact assessment, linear programming, market intelligence, fisheries legislation, policy and IPR issues.

This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader’s knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.

There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for your need, and learn how to use the often complex features and functions can be difficult. The book explores ways that you can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms and Analysis tools, expression resources, genome browsers (General, Eukaryotic and Prokaryotic/Microbial), Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. One can learn how to find resources with the OpenHelix free search interface. OpenHelix searches hundreds of genomics resources, tutorial suites, and other material to deliver the most relevant resources in seconds.

The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be "humanity's dashboard," an intelligent tool that can help combat poverty, crime and pollution. All these burning issues are covered in the following chapters of the book entitled, 'Applied Big Data Analytics: Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' 1History of Big Datahttps: //ssl.images-createspace.com/tsw/img/ajax/choosernav-right_off.gif 2Definitions & Surprising Statistics about Big Data 4Open Source Big Data Analytical Platforms and Tools 5Use Cases & Advantages & Benefits of Big Data 6Impact of Big Data on Business, Economy and Society 7Impact of Big data on Healthcare 8Transforming Social Welfare with Analytics 9The Future of Big Data & Risks, Challenges and Paradox A recent Accenture and GE study found that almost 90 percent of companies list Big Data analytics as one of their top priorities, and believe that Big Data analytics will shift the competitive landscape within the next three years. The book provides an opportunity for scholars and researchers in big data and health science, business intelligence, social scientists in developments to update their knowledge on the abovementioned issues. The chapters presented is based on an extensive research with the literature from across humanities, social sciences and the sciences and from popular culture, journalism, and industry publications, and based on my lifelong experience of working earlier in Analytics and now in Big Data Analytics as a Statistician.

PREFACE Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level. Now the buzzword "big data" refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms. It is estimated that the total accumulated data stored on computers worldwide is about 300 exabytes.The annual transmission of data is estimated at about 1.9 zettabytes i.e.1900 billion gigabytes. It is believed that Big Data is one of those mega trends that will impact everyone in one way or another. Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere and represents huge opportunities to those who can use it effectively. In the past, this information was simply ignored and opportunities were missed. Realizing the great importance of big data, organizations scramble to find hidden information buried in big data and try to make the best use of it. Presently "big data" is a hot topic and getting a lot of media and business attention. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. Running analyses at the finest granularities while you still have enough data for the results to be meaningful and accurate leads to more precise action and in turn more profits and savings for the company and customers. Over recent times, the concepts of "big data" and "big data analytics" have become ubiquitous. It is hard to visit a web site, open a newspaper, or read a magazine that does not refer to one or both of those phrases. Yet the technologies that are incorporated into big data are massive parallelism, huge data volumes, data distribution, high-speed networks, high-performance computing and data mining and analytics. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Presently there has been a surge of unstructured data, making up as much as 80% of new data that requires attention for management. Big Data results in three basic challenges: storing, processing and managing it efficiently. To tackle the challenges of Big Data, novel approaches and tools have emerged. The technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book entitled 'Applied Big Data Analytics' presents a mix of theory and real world cases that discuss the technical and practical issues related to Big Data application aiming intelligent information management. This book covers rich topics of sources of big data generation, analytical tools, and utilization for extracting valuable insight out of scientific study. The edited book reveals how to fully apply the tools and techniques in various fields. The book will certainly be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program. The project could not have been successful without the whole hearted support of the valued contributors of the book. Simply, I am grateful to all of them. AJIT KUMAR ROY