Skip to main content

Simultaneous Structural Variation Discovery in Multiple Paired-End Sequenced Genomes

  • Conference paper
  • 1258 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6577))

Motivation

Next generation sequencing technologies have been decreasing the costs and increasing the world-wide capacity for sequence production at an unprecedented rate, making the initiation of large scale projects aiming to sequence almost 2000 genomes [1]. Structural variation detection promises to be one of the key diagnostic tools for cancer and other diseases with genomic origin. In this paper, we study the problem of detecting structural variation events in two or more sequenced genomes through high throughput sequencing . We propose to move from the current model of (1) detecting genomic variations in single next generation sequenced (NGS) donor genomes independently, and (2) checking whether two or more donor genomes indeed agree or disagree on the variations (in this paper we name this framework Independent Structural Variation Discovery and Merging - ISV&M), to a new model in which we detect structural variation events among multiple genomes simultaneously.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. The 1000 Genomes Project Consortium: Nature 467, 1061–1073 (2010)

    Google Scholar 

  2. Hormozdiari, F., Alkan, C., Eichler, E., Sahinalp, S.C.: Combinatorial Algorithms for Structural Variation Detection in High Throughput Sequenced Genomes. Genome Research 19: 1270–1278 (2009)

    Article  Google Scholar 

  3. Hormozdiari, F., Hajirasouliha, I., Dao, P., Hach, F., Yorukoglu, D., Alkan, C., Eichler, E.E., Sahinalp, S.: Next-generation VariationHunter: combinatorial algorithms for transposon insertion discovery. Bioinformatics 26(12), i350–i357 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hormozdiari, F., Hajirasouliha, I., McPherson, A., Eichler, E.E., Sahinalp, S.C. (2011). Simultaneous Structural Variation Discovery in Multiple Paired-End Sequenced Genomes. In: Bafna, V., Sahinalp, S.C. (eds) Research in Computational Molecular Biology. RECOMB 2011. Lecture Notes in Computer Science(), vol 6577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20036-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20036-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20035-9

  • Online ISBN: 978-3-642-20036-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics