Data Analytics In Bioinformatics

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Data Analytics in Bioinformatics

Rabinarayan Satpathy,Tanupriya Choudhury,Suneeta Satpathy,Sachi Nandan Mohanty,Xiaobo Zhang
Data Analytics in Bioinformatics Book PDF

Author : Rabinarayan Satpathy,Tanupriya Choudhury,Suneeta Satpathy,Sachi Nandan Mohanty,Xiaobo Zhang
Publisher : John Wiley & Sons
Page : 433 pages
File Size : 50,9 Mb
Release : 2021-01-20
Category : Computers
ISBN : 9781119785606

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Data Analytics in Bioinformatics by Rabinarayan Satpathy,Tanupriya Choudhury,Suneeta Satpathy,Sachi Nandan Mohanty,Xiaobo Zhang Pdf

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Big Data Analytics in Bioinformatics and Healthcare

Wang, Baoying
Big Data Analytics in Bioinformatics and Healthcare Book PDF

Author : Wang, Baoying
Publisher : IGI Global
Page : 528 pages
File Size : 43,8 Mb
Release : 2014-10-31
Category : Computers
ISBN : 9781466666122

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Big Data Analytics in Bioinformatics and Healthcare by Wang, Baoying Pdf

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Big Data Analytics in Chemoinformatics and Bioinformatics

Subhash C. Basak,Marjan Vračko
Big Data Analytics in Chemoinformatics and Bioinformatics Book PDF

Author : Subhash C. Basak,Marjan Vračko
Publisher : Elsevier
Page : 503 pages
File Size : 43,6 Mb
Release : 2022-12-06
Category : Science
ISBN : 9780323857147

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Big Data Analytics in Chemoinformatics and Bioinformatics by Subhash C. Basak,Marjan Vračko Pdf

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry

Bioinformatics Data Skills

Vince Buffalo
Bioinformatics Data Skills Book PDF

Author : Vince Buffalo
Publisher : "O'Reilly Media, Inc."
Page : 538 pages
File Size : 54,5 Mb
Release : 2015-07
Category : Computers
ISBN : 9781449367510

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Bioinformatics Data Skills by Vince Buffalo Pdf

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ??re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Applying Big Data Analytics in Bioinformatics and Medicine

Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Applying Big Data Analytics in Bioinformatics and Medicine Book PDF

Author : Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Publisher : IGI Global
Page : 465 pages
File Size : 46,7 Mb
Release : 2017-06-16
Category : Computers
ISBN : 9781522526087

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Applying Big Data Analytics in Bioinformatics and Medicine by Lytras, Miltiadis D.,Papadopoulou, Paraskevi Pdf

Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Bioinformatics for Omics Data

Bernd Mayer
Bioinformatics for Omics Data Book PDF

Author : Bernd Mayer
Publisher : Springer Science+Business Media
Page : 584 pages
File Size : 47,8 Mb
Release : 2011-01-01
Category : Bioinformatics
ISBN : 1617790273

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Bioinformatics for Omics Data by Bernd Mayer Pdf

Presenting an area of research that intersects with and integrates diverse disciplines, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study.

Computational Intelligence and Big Data Analytics

Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Computational Intelligence and Big Data Analytics Book PDF

Author : Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Publisher : Springer
Page : 137 pages
File Size : 54,8 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9789811305443

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Computational Intelligence and Big Data Analytics by Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush Pdf

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Introduction to Bioinformatics with R

Edward Curry
Introduction to Bioinformatics with R Book PDF

Author : Edward Curry
Publisher : CRC Press
Page : 311 pages
File Size : 54,6 Mb
Release : 2020-11-02
Category : Mathematics
ISBN : 9781351015301

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Introduction to Bioinformatics with R by Edward Curry Pdf

In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.

Molecular Data Analysis Using R

Csaba Ortutay,Zsuzsanna Ortutay
Molecular Data Analysis Using R Book PDF

Author : Csaba Ortutay,Zsuzsanna Ortutay
Publisher : John Wiley & Sons
Page : 354 pages
File Size : 47,7 Mb
Release : 2017-02-06
Category : Medical
ISBN : 9781119165026

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Molecular Data Analysis Using R by Csaba Ortutay,Zsuzsanna Ortutay Pdf

This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include: • Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered. • First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. • Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.

Big Data Analytics in Genomics

Ka-Chun Wong
Big Data Analytics in Genomics Book PDF

Author : Ka-Chun Wong
Publisher : Springer
Page : 428 pages
File Size : 45,9 Mb
Release : 2016-10-24
Category : Computers
ISBN : 9783319412795

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Big Data Analytics in Genomics by Ka-Chun Wong Pdf

This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.

Bioinformatics Tools and Big Data Analytics for Patient Care

Rishabha Malviya,Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Bioinformatics Tools and Big Data Analytics for Patient Care Book PDF

Author : Rishabha Malviya,Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 357 pages
File Size : 54,8 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000638905

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Bioinformatics Tools and Big Data Analytics for Patient Care by Rishabha Malviya,Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Data Analysis for the Life Sciences with R

Rafael A. Irizarry,Michael I. Love
Data Analysis for the Life Sciences with R Book PDF

Author : Rafael A. Irizarry,Michael I. Love
Publisher : CRC Press
Page : 461 pages
File Size : 44,6 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781498775861

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Data Analysis for the Life Sciences with R by Rafael A. Irizarry,Michael I. Love Pdf

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

New Frontiers of Biostatistics and Bioinformatics

Yichuan Zhao,Ding-Geng Chen
New Frontiers of Biostatistics and Bioinformatics Book PDF

Author : Yichuan Zhao,Ding-Geng Chen
Publisher : Springer
Page : 463 pages
File Size : 44,6 Mb
Release : 2018-12-05
Category : Mathematics
ISBN : 9783319993898

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New Frontiers of Biostatistics and Bioinformatics by Yichuan Zhao,Ding-Geng Chen Pdf

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

Genome Data Analysis

Ju Han Kim
Genome Data Analysis Book PDF

Author : Ju Han Kim
Publisher : Springer
Page : 367 pages
File Size : 41,9 Mb
Release : 2019-04-30
Category : Science
ISBN : 9789811319426

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Genome Data Analysis by Ju Han Kim Pdf

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.

Pattern Recognition and Machine Intelligence

Rajat K. De
Pattern Recognition and Machine Intelligence Book PDF

Author : Rajat K. De
Publisher : Springer Science & Business Media
Page : 693 pages
File Size : 45,7 Mb
Release : 2007-11-29
Category : Computers
ISBN : 9783540770459

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Pattern Recognition and Machine Intelligence by Rajat K. De Pdf

This book constitutes the refereed proceedings of the Second International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007, held in Kolkata, India in December 2007. The 82 revised papers presented were carefully reviewed and selected from 241 submissions. The papers are organized in topical sections on pattern recognition, image analysis, soft computing and applications, data mining and knowledge discovery, bioinformatics, signal and speech processing, document analysis and text mining, biometrics, and video analysis.