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Genome browser

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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. ^ a b c "A brief introduction to web-based genome browsers". Briefings in Bioinformatics. 14 (2): 131–143. March 2013. doi:10.1093/bib/bbs029. {{cite journal}}: Unknown parameter |authors= ignored (help)
  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. ^ Exploring Personal Genomics. 3 January 2013. pp. 64–72. ISBN 9780199644483. {{cite book}}: Unknown parameter |authors= ignored (help)
  5. ^ Essential Computing Skills for Biologists. World Scientific Publishing Company. 2 July 2018. pp. 20–29. ISBN 9781848169265. {{cite book}}: Unknown parameter |authors= ignored (help)