Archive

  • Visit JGI.DOE.GOV
News & Publications
Home › Publications › NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes

NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes

Published in:

Nucleic Acids Research 34 , W394-W399 (Jul 1 2006)

Author(s):

DeSantis, T. Z., Hugenholtz, P., Keller, K., Brodie, E. L., Larsen, N., Piceno, Y. M., Phan, R., Andersen, G. L.

DOI:

Doi 10.1093/Nar/Gkl244

Abstract:

Microbiologists conducting surveys of bacterial and archaeal diversity often require comparative alignments of thousands of 16S rRNA genes collected from a sample. The computational resources and bioinformatics expertise required to construct such an alignment has inhibited high- throughput analysis. It was hypothesized that an online tool could be developed to efficiently align thousands of 16S rRNA genes via the NAST ( Nearest Alignment Space Termination) algorithm for creating multiple sequence alignments ( MSA). The tool was implemented with a web- interface at http://greengenes.lbl.gov/ NAST. Each user- submitted sequence is compared with Greengenes’ ‘Core Set’, comprising similar to 10 000 aligned non- chimeric sequences representative of the currently recognized diversity among bacteria and archaea. User sequences are oriented and paired with their closest match in the Core Set to serve as a template for inserting gap characters. Non-16S data ( sequence from vector or surrounding genomic regions) are conveniently removed in the returned alignment. From the resulting MSA, distancematrices can be calculated for diversity estimates and organisms can be classified by taxonomy. The ability to align and categorize large sequence sets using a simple interface has enabled researchers with various experience levels to obtain bacterial and archaeal community profiles.

View Publication

Share this:

  • Click to share on Facebook (Opens in new window)
  • Click to share on LinkedIn (Opens in new window)
  • Click to share on Pinterest (Opens in new window)
  • Click to share on Twitter (Opens in new window)
  • Click to print (Opens in new window)
  • JGI.DOE.GOV
  • Disclaimer
  • Accessibility / Section 508
Lawrence Berkeley National Lab Biosciences Area
A project of the US Department of Energy, Office of Science

JGI is a DOE Office of Science User Facility managed by Lawrence Berkeley National Laboratory

© 1997-2025 The Regents of the University of California