What is Bioinformatics

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The application of computer technology to the management and analysis of biological data. Learn more in: ICT Applications and Solutions in Healthcare: Present and Perspectives

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The application of computer technology to the management and analysis of biological data. Learn more in: ICT Applications and Solutions in Healthcare: Present and Perspectives

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Bioinformatics is the application of information technology to the field of molecular biology. Bioinformatics entails the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. Learn more in: Image Partitioning on Spiral Architecture

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Bioinformatics is a scientific discipline devoted to the solution of biological problems at the molecular level with computer methods. It is an attempt to describe, in numerical and statistical terms, biological phenomena with a set of analytical and numerical tools. In addition to information technology, bioinformatics uses applied mathematics, statistics, chemistry, biochemistry and concepts of artificial intelligence. Bioinformatics mainly deals with providing valid statistical models for the interpretation of data from experiments in molecular biology and biochemistry in order to identify trends and numerical laws; generate new models and mathematical tools for the analysis of sequences of DNA, RNA and proteins in order to create a body of knowledge concerning the frequency of relevant sequences, their evolution and possible function; and organize the knowledge acquired at the global level of genome and proteome databases in order to make such data accessible to all, and to optimize the data search algorithms to improve accessibility. Learn more in: Building Gene Networks by Analyzing Gene Expression Profiles

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The scientific field concerned with computational and statistical analysis of molecular biological systems, particularly as it pertains to the relationships between DNA, RNA and protein. Learn more in: Data Stewards, Curators, and Experts: Library Data Engagement at Samuel J. Wood Library at Weil Cornell Medicine

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The use of applied mathematics, informatics, statistics, and computer science to study biological systems. Learn more in: Bio-Inspired Algorithms in Bioinformatics II

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Bio-informatics can be described as the application of computational methods to make biological discoveries and explorations. Learn more in: Applying CI in Biology through PSO

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An interdisciplinary field of biology and computer science to perform data acquisition, storage, and analysis on biological data. Learn more in: The Role of Big Data Analytics in Drug Discovery and Vaccine Development Against COVID-19

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Generic term of a research field as well as a set of methods used in computational biology or medicine to analyse multiple kinds of biological or clinical data. It combines the disciplines of computer science, artificial intelligence, applied mathematics, statistics, biology, chemistry and engineering in the field of biology and medicine. Typical research subjects are problem adequate data pre-processing of measured biological sample information (e.g. data cleaning, alignments, feature extraction), supervised and unsupervised data analysis (e.g. classification models, visualization, clustering, biomarker discovery) and multiple kinds of modelling (e.g. protein structure prediction, analysis of expression of gene, proteins, gene/protein regulation networks/interactions) for one or multidimensional data including time series. Thereby the most common problem is the high dimensionality of the data and the small number of samples which in general make standard approach (e.g. classical statistic) inapplicable. Learn more in: Prototype Based Classification in Bioinformatics

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Application of computer science to huge biological problems. Learn more in: A Framework for Semantic Grid in E-Science

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The field of bioinformatics is an interdisciplinary field in which different fields like computer science, biology, math’s are combined and used for the analysis and processing of the biological sequences like DNA, RNA, protein, etc. Learn more in: Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm

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A highly interdisciplinary research area that emerged many domains such as biology, computer science, medicine, artificial intelligence applied mathematics, statistics. Learn more in: Text Mining in Bioinformatics: Research and Application

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A join branch of biology and informatics concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. It comprehends all computational methods and theories applicable to molecular biology and the computer-based techniques for solving biological problems, including manipulation of models and datasets. Learn more in: Clinical and Biomolecular Ontologies for E-Health

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An interdisciplinary field that addresses biological problems using computational techniques to understand biological data. Learn more in: Biotechnology: Recent Developments, Emerging Trends, and Implications for Business

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Comprises the management and the analysis of biological databases. Learn more in: High-Throughput Data Analysis of Proteomic Mass Spectra on the SwissBioGrid

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A scientific field that stands at the crossroads of Biology and Informatics, and uses techniques from informatics, computer science, applied mathematics, and statistics to solve biological problems. A synonym term is computational biology, but whereas computational biology deals mainly with the scientific filled bioinformatics is usually used to indicate the infrastructure part. Learn more in: Indexing Textual Information

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Intersection of biology and information science, aimed at collection and analysis of complex and large sets of biology related data. Learn more in: Organizational and Management Aspects of Cloud Computing Application in Scientific Research

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An integration of mathematical, statistical, and computational methods to organize and analyze biological data. Learn more in: Data Mining

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The application of the ICT tools to advanced biological problems, like transcriptomics and proteomic, involving huge amounts of data. Learn more in: ALBA Cooperative Environment for Scientific Experiments

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Bioinformatics is a field of science, which uses statistics, mathematics and computer science in molecular biology for storing, analyzing and retrieving biological data. Learn more in: Crow-ENN: An Optimized Elman Neural Network with Crow Search Algorithm for Leukemia DNA Sequence Classification

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A scientific field that stands at the crossroads of Biology and Informatics, and uses techniques from informatics, computer science, applied mathematics, and statistics to solve biological problems. A synonym term is Computational Biology, but whereas Computational Biology deals mainly with the scientific filed Bioinformatics is usually used to indicate the infrastructure part. Learn more in: Indexing and Compressing Text

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Interdisciplinary field that applies computer science to biological problems. Learn more in: Semantic Web Platforms for Bioinformatics and Life Sciences

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Bioinformatics uses computation to understand, organize, analyze, and interpret biological data. Learn more in: Current Environmental Health Challenges: Part I - Exposures and Research Trends

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A scientific discipline devoted to the solution of biological problems at the molecular level with computer methods. It is an attempt to describe, in numerical and statistical terms, biological phenomena with a set of analytical and numerical tools. In addition to information technology, bioinformatics uses applied mathematics, statistics, chemistry, biochemistry and concepts of artificial intelligence. Bioinformatics mainly deals with: (1) Providing valid statistical models for the interpretation of data from experiments in molecular biology and biochemistry in order to identify trends and numerical laws; (2) Generate new models and mathematical tools for the analysis of sequences of DNA, RNA and proteins in order to create a body of knowledge concerning the frequency of relevant sequences, their evolution and possible function; (3) Organize the knowledge acquired at the global level of genome and proteome databases in order to make such data accessible to all, and to optimize the data search algorithms to improve accessibility. Learn more in: Clustering Techniques for Revealing Gene Expression Patterns

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Application of information science and technologies for the management of biological data and the use of computers to store, compare, retrieve, analyze or predict the composition of the structure of biomolecules. Learn more in: Microarray Information and Data Integration Using SAMIDI

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A broad term used to describe the collection, organization, and analysis of biological data using computer technology and information science. Some bioinformatics activities include the modeling of protein structure and creation of extensive electronic databases on genes, genomes, and protein sequences. Learn more in: C-MICRA: A Tool for Clustering Microarray Data