Genome browser

In bioinformatics, a genome browser is a graphical interface for display of information from a biological database for genomic data.[1] Genome browsers enable researchers to visualize and browse entire genomes with annotated data including gene prediction and structure, proteins, expression, regulation, variation, comparative analysis, etc. Annotated data is usually from multiple diverse sources. They differ from ordinary biological databases in that they display data in a graphical format, with genome coordinates on one axis with annotations or space-filling graphics to show analyses of the genes, such as the frequency of the genes, their expression profiles, etc.[1]

A large number of genome browsers are available, many of them free and with database accessible online. Among the best known are the UCSC Genome Browser, Ensembl Genome Browser and NCBI's Genome Data Viewer.[2][3] These genome browsers may support multiple genomes, however, other genome browsers may be specific for particular species.[1] These browsers may provide summary of data from genomic databases and comparative assessment of different genetic sequences across multiple species, and allow the data to be visualised in various ways to facilitate assessment and interpretation of these complex data.[4][5]

References
  1. Jun Wang, Lei Kong, Ge Gao, Jingchu Luo (March 2013). "A brief introduction to web-based genome browsers". Briefings in Bioinformatics. 14 (2): 131–143. doi:10.1093/bib/bbs029.CS1 maint: uses authors parameter (link)
  2. Michael Speicher; Stylianos E. Antonarakis; Arno G. Motulsky, eds. (2010). "Databases and Genome Browsers". Vogel and Motulsky's Human Genetics: Problems and Approaches (4th ed.). Springer. pp. 905–920. ISBN 978-3540376538.
  3. Jonathan Pevsner (26 October 2015). Bioinformatics and Functional Genomics (3rd ed.). Wiley. pp. 50–52. ISBN 9781118581780.
  4. Joel T. Dudley, Konrad J. Karczewski (3 January 2013). Exploring Personal Genomics. pp. 64–72. ISBN 9780199644483.CS1 maint: uses authors parameter (link)
  5. Wang Ziling, Zhang Lishu (2 July 2018). Essential Computing Skills for Biologists. World Scientific Publishing Company. pp. 20–29. ISBN 9781848169265.CS1 maint: uses authors parameter (link)
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.