What is Bioinformatics

The application of computer technology to the management and analysis of biological data.

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.

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.

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.

The use of applied mathematics, informatics, statistics, and computer science to study biological systems.

Bio-informatics can be described as the application of computational methods to make biological discoveries and explorations.

An interdisciplinary field of biology and computer science to perform data acquisition, storage, and analysis on biological data.

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.

Application of computer science to huge biological problems.

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.

A highly interdisciplinary research area that emerged many domains such as biology, computer science, medicine, artificial intelligence applied mathematics, statistics.

In order to analyze and interpret biological data, especially at the molecular level, bioinformatics is an interdisciplinary field that brings together computer science, statistics, mathematics, and biology. It entails the creation and use of software tools, algorithms, and computational techniques to comprehend biological processes, evaluate enormous datasets, and generate insightful predictions.

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.

An interdisciplinary field that addresses biological problems using computational techniques to understand biological data.

Comprises the management and the analysis of biological databases.

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.

A discipline concerned with the acquisition, storage, analysis, and dissemination of biological data. It is also represented as the interaction between several disciplines such as statistics, computer science, information technology, and biology.

Intersection of biology and information science, aimed at collection and analysis of complex and large sets of biology related data.

An integration of mathematical, statistical, and computational methods to organize and analyze biological data.

The application of the ICT tools to advanced biological problems, like transcriptomics and proteomic, involving huge amounts of data.

Bioinformatics is a field of science, which uses statistics, mathematics and computer science in molecular biology for storing, analyzing and retrieving biological data.

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.

The application of data science technologies in molecular biology, genetics, systems biology, and structural biology. The main objective of bioinformatics is to establish the correlation between genetic information and the behaviors and properties of organisms. The study in this field can facilitate the development of new drugs, gene alteration, organic farming, and synthetic meat.

Interdisciplinary field that applies computer science to biological problems.

Bioinformatics uses computation to understand, organize, analyze, and interpret biological data.

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.

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.

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.