Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.


An error-corrector for pyrosequenced amplicon reads. Acacia reduces the number and complexity of alignments. Rather than performing all-against-all alignments in a cluster, each read in the cluster is aligned to a dynamically updated cluster consensus; the alignment algorithm is made more efficient using heuristics that only consider homopolymer over and under-calls. Acacia uses a quicker but less sensitive statistical approach to distinguish between error and genuine sequence differences. Acacia is an alternative to AmpliconNoise and Denoiser that maintains sensitivity without compromising genuine signal in the data.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

Acacia forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

Acacia classification

Acacia specifications

Software type:
Restrictions to use:
Operating system:
Computer skills:
Command line interface
Biological technology:
Programming languages:

Acacia distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

Acacia support



  • Gene W. Tyson <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Advanced Water Management Centre, The University of Queensland, St. Lucia, QLD, Australia; Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD, Australia; Commonwealth Scientific and Industrial Research Organisation Mathematics, Informatics and Statistics, QLD, Australia; School of Computing and Mathematics, University of Western Sydney, NSW, Australia; Institute for Molecular Bioscience, The University of Queensland, St. Lucia, QLD, Australia

Funding source(s)

This project was supported by a PhD scholarship funded by the Commonwealth Scientific and Industrial Research Organisation Transformational Biology capability platform, by a Queen Elizabeth II Fellowship from the Australian Research Council (grant No. DP1093175) and by a strategic University of Queensland funding of the Australian Centre for Ecogenomics.

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.