The management and analysis of data (especially DNA sequence data) using advanced computing techniques. Bioinformatics is an important field of genomics research, because of the complexity of searching and comparing the large number of DNA sequences generated.

Using computer technology to manage large amounts of biological data (e.g., genetic information) for research in areas such as molecular biology, genomics and proteomics; development of databases and software tools related to the Human Genome Project and designed to ultimately improve the delivery of patient care through a better understanding of human biology.

The collection, classification, storage, and analysis of biochemical and biological information using computers especially as applied in molecular genetics and genomics.

The field of science in which biology, computer science, and information technology merge into a single discipline.There are three important sub-disciplines within bioinformatics: (1) the development of new algorithms and statistics with which to assess relationships among members of large data sets; (2) the analysis and interpretation of various types of data including nucleotide and amino acid sequences, protein domains, and protein structures; and (3) the development and implementation of tools that enable efficient access and management of different types of information.

The application of computer technology to the management of biological information.

The analysis of biological information using computers and statistical techniques; the science of developing and utilizing computer databases and algorithms to accelerate and enhance biological research.

Science dealing with the classification, storage, retrieval and analysis of genomic and proteomic information; molecular modelling.

The use of computational resources, such as databases, to analyse genes and genomes; the management and analysis of biological information in genome databases.

Applied science of managing, analyzing, and communicating biological information.

The field of endeavor that relates to the collection, organization and analysis of large amounts of biological data using networks of computers and databases (usually with reference to the genome project and DNA sequence information)

A field of research that relies on computers to store and analyze large amounts of biological data.

the study of biology and technology, and how they relate to each other.

An interdisciplinary area at the intersection of biological, computer, and information sciences necessary to manage, process, and understand large amounts of data, for instance from the sequencing of the human genome, or from large databases containing information about plants and animals for use in discovering and developing new drugs.

Building and deploying tools that allow researchers to extract value from masses of data to design better experiments. In genome projects, informatics includes the development of methods to search databases quickly, to analyze DNA sequence information, and to predict protein sequence and structure from DNA sequence data. Bioinformatics also encompasses computer techniques such as 3-D molecular modeling.

The branch of biology that uses modern computing techniques, mathematical algorithms, and statistical analysis to better compare and contrast biological data sets. Algorithms have been described for modeling protein structure, tracing protein evolution, predicting protein interactions and modeling molecular pathways of disease. For techniques like mass spectrometry, bioinformatics programs can define the amino acid sequence of a protein and structural relationships between protein families. Bioinformatics is important in constructing gene and protein expression profiles from techniques such as microarrays that may be indicative of disease. See also in silico, Structural Biology, Systems Biology.

A rapidly developing branch of biology that derives knowledge from computer analysis of biological data. Bioinformatics is highly interdisciplinary, using techniques from statistics, mathematics, chemistry, biochemistry, physics, and linguistics.

The use of computers to solve biological problems.

computer-based platform technology used to maintain, manage and interpret biological data.

The science that uses advanced computing techniques for management and analysis of biological data. Bioinformatics is particularly important as an adjunct to genomic research, which generates a large amount of complex data, involving DNA sequences and hundreds of thousands of genes.

a fast growing scientific area aimed at managing, analyzing and interpreting information from biological data

The bioinformatics program merges the power of computer technology with the techniques of molecular biology and genome analysis. IUSM officials are close to announcing a director of bioinformatics, after successfully competing with other institutions and businesses who are seeking the talents of the relatively few specialists in this new field. Meanwhile, INGEN leaders are developing strategies to integrate the many databases that are being created across IU by life sciences researchers.

The merger of biotechnology and information technology with the goal of revealing new insights and principles in biology.

The field of biology specializing in developing hardware and software to store and analyze the huge amounts of data being generated by life scientists.

The generation/creation, collection, storage (in databases), and efficient use of data/information from genomics from biological research to accomplish an objective (for example, to discover a new pharmaceutical or a new herbicide).

An emerging field of research that applies the tools of advanced computer analysis and molecular biology to organize and understand the vast quantities of data created by genomics research.

The application of computers to biology.

The collection and storage of information about genomics in databases.

The science of the treatment of biological information, especially in large quantitites.

The science that investigates selective internal communication within living tissue by using diverse, discrete spectral bands of electromagnetic communications.

A collective term that designates the use of computers and specialized software to analyze and retrieve data from genomic and scientific databases.

the use of computers in solving information problems in the life sciences. It mainly involves the creation of extensive electronic databases on genomes, protein sequences etc. Also involves techniques such as three-dimensional modelling of biomolecules and biological systems. Biological Sciences: Biology is the science of life, animal or vegetable. The Biological Sciences cover the complete range of life sciences from the molecular to the species and include such subject as Anatomy, Biochemistry, Biomedical Sciences, Biotechnology, Botany, Ecology, Microbiology, Neuroscience, Physiology, Plant Science and Zoology. Click on each university in the banner above to access further information about the Biological Sciences and related degree courses.

The use of extensive computerized databases to solve information problems in the biological sciences.

The application of computational techniques to the management and analysis of biological information.

A field of science which merges biology, computer science and statistics typically applied to the management and analysis of large data sets generated in biological research involving DNA and protein analysis.

The use of information technology and computers to capture, record and interpret complex biological data, for example DNA sequences and patterns of gene expression.

The science of managing and analyzing biological data using advanced computing techniques. Especially important in analyzing genomic research data.

is the application of information technology to analyse and manage large data sets resulting from gene sequencing or related techniques.

the management and analysis of data that describes genes, proteins, and DNA. These are the data types fundamental to biological and genetic research, for example that around the Human Genome Project.

The science of informatics as applied to biological research. Informatics is the management and analysis of data using advanced computing techniques.

A discipline which delivers software solutions customized for the Life Sciences. Currently focuses on biological databases, data search and archiving software and interpretation tools to manage the large amount of data created in DNA and protein analysis.

The use of computers to collect, store, classify, and analyze biological data, especially in studying the nucleotide sequences of plant and animal DNA.

The collection, organization, and analysis of large amounts of biological data, using computers and databases. Historically, bioinformatics concerned itself with the analysis of the sequences of genes and their products (proteins), but the field has since expanded to the management, processing, analysis, and visualization of large quantities of data from genomics, proteomics, drug screening, and medicinal chemistry. Bioinformatics also includes the integration and “mining” of the ever-expanding databases of information from these disciplines.

The process of developing tools and processes to quantify and collect data to study biological systems logically.

The scientific discipline that encompasses all aspects of biological information acquisition, processing, storage, distribution, analysis and interpretation that combines the tools of mathematics, computer science and biology with the aim of understanding the biological significance of a variety of data.

The use of computer-based analysis to understand complex biological systems:in relation to thehumangenomethis means using computers to generate, store, manage and manipulate DNA sequences

The collection, organization, storage, analysis, and integration of large amounts of biological data using networks of computers and databases.

The science of developing computer software and algorithms to record and analyze biology related data, e.g. gene, protein, metabolic pathways and active drug ingredients data.

the application of information technology to manage and analyze the vast amounts of data generated from biological research.

Computer-aided analysis of biological systems

Field of study dealing with management of data in biological sciences.

The study of collecting, sorting, and analyzing DNA and protein sequence information using computers and statistical techniques.

The use of computers and electronic databases to collate, organise and analyse large amounts of biological information.

The use of computing tools to manage and analyze genomic and molecular biological data.

The use of computers to collect, analyze and store genomics information.

The study of the inherent structure of biological information and biological systems. It brings together biological data from genome research with the theory and tools of mathematics and computer science.

any use of computers to handle biological information. Synonymous with "computational molecular biology" - the use of computers to characterise the molecular components of living things.

The science of developing and using computer databases and algorithms to hasten and improve biological—and pharmaceutical—research.

The application of computational tools and methods to managing and analysing biological data.

An absolute definition of bioinformatics has not been agreed upon. The first level, however, can be defined as the design and application of methods for the collection, organization, indexing, storage, and analysis of biological sequences (both nucleic acids [DNA and RNA] and proteins). The next stage of bioinformatics is the derivation of knowledge concerning the pathways, functions, and interactions of these genes (functional genomics) and proteins (proteomics). Bioinformatics is also referred to as computational biology.

A new and rapidly growing research discipline at the intersection of biology and computer science that seeks to develop new methods for the collection, analysis, storage and retrieval of biological information. Sometimes referred to as computational biology, bioinformatics is generally defined as the activity that deals with the processing of large amounts of data associated with genomics, specifically the management of DNA-sequence information.

computational and algorithmic approaches to manage and process large amounts of biological data (information content and information flow in biological systems and processes). This includes for example prediction of protein structures, dynamic modeling of complex physiological systems, statistical treatment of quantitative traits in populations in order to determine the genetic basis for these traits.

Bioinformatics and computational biology involve the use of techniques including applied mathematics, informatics, statistics, computer science, artificial intelligence, chemistry and biochemistry to solve biological problems usually on the molecular level. Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.