Science exchange logo white
  • Solutions
      Buyers

      We are making R&D services readily available to every organization that seeks to make scientific impact. Learn More

      Providers

      We are changing the way providers access and engage customers to streamline the sale and delivery of R&D services. Learn More

      Industries Agriscience Animal Health Basic Research Biopharmaceutical Chemicals Consumer Health Food Science Medical Devices
      Reproducibility

      We believe that good experiments can and should be independently replicated and validated. Learn More

  • Resources
    Innovation Blog
    Customer Stories
    Events
    Industry Trends
    News
    Product Updates
    Help Center
  • About
    About
    Our Story
    Leadership
    Partners
    Join the Team
  • Contact
  • Log In Sign Up
  • Get a Demo
  • The accuracy of several multiple sequence alignment programs for proteins.

    BMC Bioinformatics. 7:471. doi: 10.1186/1471-2105-7-471. October 24, 2006. View on PubMed.
  • Authors

    Nuin PA, Wang Z, and Tillier ER
  • Abstract

    BACKGROUNDThere have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" alignment is usually unknown due to the incomplete knowledge of the evolutionary history of the sequences, making it difficult to gauge the relative accuracy of the programs.RESULTSWe tested nine of the most often used protein alignment programs and compared their results using sequences generated with the simulation software Simprot which creates known alignments under realistic and controlled evolutionary scenarios. We have simulated more than 30,000 alignment sets using various evolutionary histories in order to define strengths and weaknesses of each program tested. We found that alignment accuracy is extremely dependent on the number of insertions and deletions in the sequences, and that indel size has a weaker effect. We also considered benchmark alignments from the latest version of BAliBASE and the results relative to BAliBASE- and Simprot-generated data sets were consistent in most cases.CONCLUSIONOur results indicate that employing Simprot's simulated sequences allows the creation of a more flexible and broader range of alignment classes than the usual methods for alignment accuracy assessment. Simprot also allows for a quick and efficient analysis of a wider range of possible evolutionary histories that might not be present in currently available alignment sets. Among the nine programs tested, the iterative approach available in Mafft (L-INS-i) and ProbCons were consistently the most accurate, with Mafft being the faster of the two.

Science exchange logo white

  • Facebook
  • Twitter
  • LinkedIn

Solutions

  • Buyers
  • Providers
  • Reproducibility

Industries

  • Agriscience
  • Animal Health
  • Basic Research
  • Biopharmaceutical
  • Chemicals
  • Consumer Health
  • Food Science
  • Medical Devices

Resources

  • Innovation Blog
  • Customer Stories
  • Events
  • Industry Trends
  • News
  • Product Updates

About

  • Our Story
  • Leadership
  • Partners
  • Join the Team

Support

  • Contact Us
  • Help Center
  • Trust
  • Terms of Use
  • Privacy Policy

Copyright © 2021 Science Exchange, Inc. All rights reserved.