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| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-03-19 |
| Genre | : Science |
| ISBN | : |
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1509 |
| Release | : 2024-03-19 |
| Genre | : Computers |
| ISBN | : |
In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing technologies, computational algorithms, and machine learning, these fields have become indispensable tools for drug discovery, disease research, genome sequencing, and more. As scholars strive to decode the language of DNA, predict protein structures, and navigate the complexities of biological data analysis, the need for a comprehensive and up-to-date resource becomes paramount. The Research Anthology on Bioinformatics, Genomics, and Computational Biology is a collection of a carefully curated selection of chapters that serves as the solution to the pressing challenge of keeping pace with the dynamic advancements in these critical disciplines. This anthology is designed to address the informational gap by providing scholars with a consolidated and authoritative source that sheds light on critical issues, innovative theories, and transformative developments in the field. It acts as a single reference point, offering insights into conceptual, methodological, technical, and managerial issues while also providing a glimpse into emerging trends and future opportunities.
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-03-19 |
| Genre | : Science |
| ISBN | : |
| Author | : Information Reso Management Association |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-03-19 |
| Genre | : Science |
| ISBN | : |
| Author | : Ka-Chun Wong |
| Publisher | : CRC Press |
| Total Pages | : 439 |
| Release | : 2016-04-27 |
| Genre | : Science |
| ISBN | : 1498725007 |
The advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analy
| Author | : Dilip K Arora |
| Publisher | : Elsevier |
| Total Pages | : 351 |
| Release | : 2006-08-15 |
| Genre | : Computers |
| ISBN | : 0080463703 |
The advances in genomic technologies, such as microarrays and high throughput sequencing,have expanded the realm of possibilities for capturing data and analyzing it using automatedcomputer driven bioinformatics tools. With the completion of the sequencing of genomes ofhuman and several model organisms, a quest for scientific discoveries being fueled byintegrative and multidimensional techniques in mathematics and computational sciences. Inthis volume, leading researchers and experts have provided an overview of significantconcepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expressionprofiles. Provides a survey of theoretical underpinnings on the technological tools and applications Discusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environment Describes the applications of the concepts and methodologies presented throughout the book
| Author | : Khalid Rehman Hakeem |
| Publisher | : Springer Nature |
| Total Pages | : 218 |
| Release | : 2019-11-01 |
| Genre | : Science |
| ISBN | : 3030193187 |
Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic and metabolomics data. Using examples of new crop diseases-emergence, crop productivity and biotic/abiotic stress tolerance, this book illustrates how bioinformatics can be an integral components of modern day plant science research.
| Author | : Diego A. Forero |
| Publisher | : CRC Press |
| Total Pages | : 509 |
| Release | : 2021-12-23 |
| Genre | : Science |
| ISBN | : 1000405680 |
Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the analysis of these genomic studies. The book Bioinformatics and Human Genomics Research provides updated and comprehensive information about multiple approaches of the application of bioinformatic tools to research in human genomics. It covers strategies analysis of genome-wide association studies, genome-wide expression studies and genome-wide DNA methylation, among other topics. It provides interesting strategies for data mining in human genomics, network analysis, prediction of binding sites for miRNAs and transcription factors, among other themes. Experts from all around the world in bioinformatics and human genomics have contributed chapters in this book. Readers will find this book as quite useful for their in silico explorations, which would contribute to a better and deeper understanding of multiple biological processes and of pathophysiology of many human diseases.
| Author | : Xuhua Xia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 363 |
| Release | : 2007-04-24 |
| Genre | : Science |
| ISBN | : 0387713379 |
The many books that have been published on bioinformatics tend toward either of two extremes: those that feature computational details with a great deal of mathematics, for computational scientists and mathematicians; and those that treat bioinformatics as a giant black box, for biologists. This is the first book using comprehensive numerical illustration of mathematical techniques and computational algorithms used in bioinformatics that converts molecular data into organized biological knowledge.
| Author | : Soumya Raychaudhuri |
| Publisher | : Oxford University Press |
| Total Pages | : 325 |
| Release | : 2006-01-26 |
| Genre | : Business & Economics |
| ISBN | : 0198567405 |
This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself-for thousands of genes it is simply impossible. Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and utilize the vast scientific text, i.e. methods that automatically "read" the literature on all the genes. Including background chapters on the necessary biology, statistics and genomics, in addition to practical examples of interpreting many different types of modern experiments, this book is ideal for students and researchers in computational biology, bioinformatics, genomics, statistics and computer science.
