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[[Image:Genome viewer screenshot small.png|thumbnail|220px|Map of the human X chromosome (from the [[National Center for Biotechnology Information]] (NCBI) website)]]
'''Bioinformatics''' ({{IPAc-en|audio=en-us-bioinformatics.ogg|ˌ|b|aɪ|.|oʊ|ˌ|ɪ|n|f|ɚ|ˈ|m|æ|t|ɪ|k|s}}) is an [[interdisciplinary]] field of [[science]] that develops methods and [[Bioinformatics software|software tool]]s for understanding [[biological]] data, especially when the data sets are large and complex. Bioinformatics uses [[biology]], [[chemistry]], [[physics]], [[computer science]], [[computer programming]], [[information engineering]], [[mathematics]] and [[statistics]] to analyze and interpret [[biological data]]. The process of analyzing and interpreting data can
Computational, statistical, and computer programming techniques have been used for [[In silico|computer simulation]] analyses of biological queries. They include reused specific analysis "pipelines", particularly in the field of [[genomics]], such as by the identification of [[gene]]s and single [[nucleotide]] polymorphisms ([[SNPs]]). These pipelines are used to better understand the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. Bioinformatics also includes [[proteomics]], which tries to understand the organizational principles within [[nucleic acid]] and [[protein]] sequences.<ref>{{cite web |vauthors=Lesk AM |date=26 July 2013 |title=Bioinformatics |url=https://www.britannica.com/science/bioinformatics |website=Encyclopaedia Britannica |access-date=17 April 2017 |archive-date=14 April 2021 |archive-url=https://web.archive.org/web/20210414103621/https://www.britannica.com/science/bioinformatics |url-status=live }}</ref>
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