bioinformatics

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Bioinformatics is an interdisciplinary field that uses computational methods and software tools to understand biological data, particularly when working with large and complex datasets. It combines principles from biology, chemistry, physics, computer science, and data science to help researchers make sense of biological information.

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Stack Exchange tag: stackoverflow.com/tags/bioinformatics
Commons category: Bioinformatics
Stack Exchange site URL: bioinformatics.stackexchange.com

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~41 min read

Article

43 sections

Contents

History
Sequences
Goals
Sequence analysis
DNA sequencing
Sequence assembly
Genome annotation
Gene function prediction
Computational evolutionary biology
Comparative genomics
Pan genomics
Genetics of disease
Analysis of mutations in cancer
Gene and protein expression
Analysis of gene expression
Analysis of protein expression
Analysis of regulation
Analysis of cellular organization
Microscopy and image analysis
Protein localization
Nuclear organization of chromatin
Amino acid sequence
Homology
Network and systems biology
Molecular interaction networks
Biodiversity informatics
Others
Literature analysis
High-throughput image analysis
High-throughput single cell data analysis
Ontologies and data integration
Databases
Software and tools
Open-source bioinformatics software
Web services in bioinformatics
Bioinformatics workflow management systems
BioCompute and BioCompute Objects
Education platforms
Conferences
See also
References
Further reading
External links

500px|thumbnail|right|Early bioinformatics—computational alignment of experimentally determined sequences of a class of related proteins; see for further information. thumbnail|220px|Map of the human X chromosome (from the National Center for Biotechnology Information (NCBI) website) Bioinformatics () is an interdisciplinary field of science that develops computational methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics integrates principles from biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics, and statistics to analyze and interpret biological data. This process can sometimes be referred to as computational biology; however, the distinction between the two terms is often disputed. The term computational biology refers to building and using models of biological systems.

Computational, statistical, and computer programming techniques have been used for computer simulation analyses of biological queries. They include reused specific analysis "pipelines", particularly in the field of genomics, such as by the identification of genes and single nucleotide polymorphisms (SNPs). These pipelines are used to better understand the genetic basis of disease, unique adaptations, desirable properties (especially in agricultural species), or differences between populations. Bioinformatics also includes proteomics, which aims to understand the organizational principles within nucleic acid and protein sequences.