Bioinformatics analysis

Gene fusion

Meena Kishore Sakharkar, Yiting Yu, Pandjassarame Kangueane

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Gene fusion is an important evolutionary phenomenon. Human fusion proteins consisting of two or more fusion partners of bacterial origin exhibit accreted (enhanced or novel) function. These proteins mimic operons, simulate protein subunit interfaces in bacteria, exhibit multiple functions, and show alternative splicing in humans. They are also associated with metabolites having greater connectivity in complex networks.

Original languageEnglish (US)
Title of host publicationBioinformatics: A Concept-Based Introduction
PublisherSpringer US
Pages175-181
Number of pages7
ISBN (Print)9783540241669
DOIs
StatePublished - 2007
Externally publishedYes

Fingerprint

Bioinformatics
Fusion reactions
Genes
Proteins
Complex networks
Metabolites
Bacteria

Keywords

  • Domain
  • Evolution
  • Fusion protein
  • Gene fusion

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Sakharkar, M. K., Yu, Y., & Kangueane, P. (2007). Bioinformatics analysis: Gene fusion. In Bioinformatics: A Concept-Based Introduction (pp. 175-181). Springer US. https://doi.org/10.1007/978-0-387-84870-9_14

Bioinformatics analysis : Gene fusion. / Sakharkar, Meena Kishore; Yu, Yiting; Kangueane, Pandjassarame.

Bioinformatics: A Concept-Based Introduction. Springer US, 2007. p. 175-181.

Research output: Chapter in Book/Report/Conference proceedingChapter

Sakharkar, MK, Yu, Y & Kangueane, P 2007, Bioinformatics analysis: Gene fusion. in Bioinformatics: A Concept-Based Introduction. Springer US, pp. 175-181. https://doi.org/10.1007/978-0-387-84870-9_14
Sakharkar MK, Yu Y, Kangueane P. Bioinformatics analysis: Gene fusion. In Bioinformatics: A Concept-Based Introduction. Springer US. 2007. p. 175-181 https://doi.org/10.1007/978-0-387-84870-9_14
Sakharkar, Meena Kishore ; Yu, Yiting ; Kangueane, Pandjassarame. / Bioinformatics analysis : Gene fusion. Bioinformatics: A Concept-Based Introduction. Springer US, 2007. pp. 175-181
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