Computational biology / bioinformatics

Learn best practices for testing with Jira and model industry workflows that can be used during the software development lifecycleKey FeaturesIntegrate Jira with test management tools such as Zephyr, Test Management, and SynapseRTUnderstand test case management, traceability, and test execution with reportsImplement continuous integration using Jira, Jenkins, and automated testing toolsBook DescriptionHands-On Test Management with Jira begins by introducing you to the basic concepts of Jira and takes you through real-world software testing processes followed by various organizations.

Use Ansible to configure your systems, deploy software, and orchestrate advanced IT tasksKey FeaturesGet familiar with the fundamentals of Ansible 2.

A comprehensive guide that will get you up and running with embedded software development using Qt5Key FeaturesLearn to create fluid, cross-platform applications for embedded devicesAchieve optimum performance in your applications with QT Lite projectExplore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSocketsBook DescriptionQt is an open-source toolkit suitable for cross-platform and embedded application development.

Explore the fundamentals of systems programming starting from kernel API and filesystem to network programming and process communicationsKey FeaturesLearn how to write Unix and Linux system code in Golang v1.

Use Qt 5 to design and build functional, appealing, and user-friendly graphical user interfaces (GUIs) for your applications.

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorchKey FeaturesLearn and implement machine learning algorithms in a variety of real-life scenariosCover a range of tasks catering to supervised, unsupervised and reinforcement learning techniquesFind easy-to-follow code solutions for tackling common and not-so-common challengesBook DescriptionThis eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks.

Learn development skills and improve productivity when programming in Microsoft Dynamics NAV 2018 - the popular Enterprise Resourse Planning management system used across a variety of industries for business process managementKey FeaturesSolve common business problems with the valuable features and flexibility of Dynamics NAVUnderstand the structure of NAV database - how documents and business entities are mapped to DB tablesDesign user interface and bind the presentation layer with the data storageBook DescriptionMicrosoft Dynamics NAV is an enterprise resource planning (ERP) software suite for organizations.

Understand how to use service mesh architecture to efficiently manage and safeguard microservices-based applications with the help of examplesKey FeaturesManage your cloud-native applications easily using service mesh architectureLearn about Istio, Linkerd, and Consul - the three primary open source service mesh providersExplore tips, techniques, and best practices for building secure, high-performance microservicesBook DescriptionAlthough microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability.

Develop native applications for multiple mobile and desktop platforms including but not limited to iOS, Android, and UWP with the Xamarin framework and Xamarin.

Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your codeKey FeaturesBuild efficient and concurrent applications in Qt to create cross-platform applicationsIdentify performance bottlenecks and apply the correct algorithm to improve application performanceDelve into parallel programming and memory management to optimize your codeBook DescriptionAchieving efficient code through performance tuning is one of the key challenges faced by many programmers.

Understand the constructs of the Python programming language and use them to build data science projectsKey FeaturesLearn the basics of developing applications with Python and deploy your first data applicationTake your first steps in Python programming by understanding and using data structures, variables, and loopsDelve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in PythonBook DescriptionPython is the most widely used programming language for building data science applications.

Click your way to automating business processes with Salesforce Visual WorkflowKey FeaturesCreate and maintain complex business processes using Process builderDiscover how to debug and deploy Flow and Process BuilderUse new or existing Flows to work with Salesforce Lightning ExperienceBook DescriptionSalesforce Management System is an information system used in CRM to automate business processes, such as sales and marketing.

Use Ansible to configure your systems, deploy software, and orchestrate advanced IT tasksKey FeaturesGet familiar with the fundamentals of Ansible 2.

Written by the core development team of JHipster and fully updated for JHipster 6, Java 11, and Spring Boot 2.

A fast-paced guide to putting your GeoServer-based application into fast, user-friendly, and secure productionKey Features Resolve bottlenecks, optimize data stores, and cluster server resources Use identity management and authentication for a user-specific, secure web application Go beyond traditional web hosting to explore the full range of hosting options in the cloudBook DescriptionGeoServer is open source, server-side software written in Java that allows users to share and edit geospatial data.

Understand the constructs of the Python programming language and use them to build data science projectsKey FeaturesLearn the basics of developing applications with Python and deploy your first data applicationTake your first steps in Python programming by understanding and using data structures, variables, and loopsDelve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in PythonBook DescriptionPython is the most widely used programming language for building data science applications.

This book is a comprehensive exploration of the dynamic interplay between bioinformatics and artificial intelligence (AI) within the healthcare landscape.

The story of the most significant biological breakthrough of the century - the discovery of the structure of DNA.

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships.

?

Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic provides a way forward in understanding complete disease etiology and prognosis.

The advent of high-throughput experimental assays, and in particular of next-generation sequencing, has revolutionized life sciences by enabling the generation of data at the scale of the whole genome.

With more and more interest in how components of biological systems interact, it is important to understand the various aspects of systems biology.

This invaluable textbook presents a self-contained introduction to the field of bioinformatics.

Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms.

Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within.

to Bioinformatics A Theoretical and Practical Approach Edited by Stephen A.

Due to the tremendous accumulation of data for genetic markers, pharmacogenomics, the study of the functions and interactions of all genes in the overall variability of drug response, is one of the hottest areas of research in biomedical science.

An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information.

This detailed volume explores techniques for protein bioinformatics research, including databases, software tools, and computational methods, in the context of protein science or proteomics and opening to other omics areas.

The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data.

This book introduces both qualitative and quantitative aspects of human physiology through language and concepts familiar to engineers and other physical scientists.

This textbook provides an introduction to the mathematical models of population dynamics in mathematical biology.

Investigating Biological Systems Using Modeling describes how to apply software to analyze and interpret data from biological systems.

This volume presents an array of different case studies which take as primary material data sourced from the NOW ('New and Old Worlds') database of fossil mammals.

A clear and straightforward explanation of genetics in this new edition of the popular 101 series.

This book comprehensively covers all the core bioinformatics topics and includes practical examples completed using the MATLAB bioinformatics and machine learning toolboxes(TM).

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species.

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species.

The earth's daily rotation affects just about every living creature.

Comprising two volumes, RNA: Computational Methods for Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA.

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics.

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline"e; of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale.

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days.

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs.

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

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era.

The early detection of human cancer is still one of the great challenges in the battle against this disease.

"e;.

Marine glycobiology is an emerging and exciting area in the field of science and medicine.