Skip to main content

Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences

  • Protocol
  • First Online:
Multiple Sequence Alignment Methods

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1079))

Abstract

Clustal Omega is a completely rewritten and revised version of the widely used Clustal series of programs for multiple sequence alignment. It can deal with very large numbers (many tens of thousands) of DNA/RNA or protein sequences due to its use of the mBED algorithm for calculating guide trees. This algorithm allows very large alignment problems to be tackled very quickly, even on personal computers. The accuracy of the program has been considerably improved over earlier Clustal programs, through the use of the HHalign method for aligning profile hidden Markov models. The program currently is used from the command line or can be run on line.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sievers F, Wilm A, Dineen D et al (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 7:539. doi:10.1038/msb.2011.75

    Article  PubMed  Google Scholar 

  2. Higgins DG, Sharp PM (1988) CLUSTAL: a package for performing multiple sequence alignment on a microcomputer. Gene 73(1):237–244

    Article  PubMed  CAS  Google Scholar 

  3. Larkin MA, Blackshields G, Brown NP et al (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23:2947–2948

    Article  PubMed  CAS  Google Scholar 

  4. Blackshields G, Sievers F, Shi W et al (2010) Sequence embedding for fast construction of guide trees for multiple sequence alignment. Algorithms Mol Biol 5:21

    Article  PubMed  Google Scholar 

  5. Söding J (2005) Protein homology detection by HMM-HMM comparison. Bioinformatics 21:951–960

    Article  PubMed  Google Scholar 

  6. Arthur D, Vassilvitskii S (2007) k-means++: the advantages of careful seeding. Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, Philadelphia, PA, pp 1027–1035

    Google Scholar 

  7. Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792–1797

    Article  PubMed  CAS  Google Scholar 

  8. Finn RD, Clements J, Eddy SR (2011) HMMER web server: interactive sequence similarity searching. Nucleic Acids Res 39(Suppl 2):W29–W37

    Article  PubMed  CAS  Google Scholar 

  9. Kimura M (1985) The neutral theory of molecular evolution. Cambridge University Press, Cambridge

    Google Scholar 

  10. Lassmann T, Sonnhammer ELL (2005) Kalign – an accurate and fast multiple sequence alignment algorithm. BMC Bioinformatics 6:298

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Sievers, F., Higgins, D.G. (2014). Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences. In: Russell, D. (eds) Multiple Sequence Alignment Methods. Methods in Molecular Biology, vol 1079. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-646-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-646-7_6

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-645-0

  • Online ISBN: 978-1-62703-646-7

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics