AXIOME

AXIOME automates and integrates analysis of small subunit (SSU) rRNA marker data from high-throughput sequencing to support microbial ecology research.


Key Features:

  • Integration with QIIME and mothur: Integrates with QIIME and mothur for compatibility with existing microbial ecology workflows.
  • Automation of complex analyses: Automates multi-step bioinformatic analyses for processing large high-throughput sequencing datasets.
  • Extensibility for customization: Provides extensibility to customize analysis workflows for specific research needs.
  • PANDAseq assembly: Implements the PAired-eND Assembler for Illumina sequences (PANDAseq) for paired-end sequence assembly.
  • Non-negative matrix factorization (NMF): Utilizes NMF for data reduction and pattern recognition.
  • Multi-response permutation procedures (MRPP): Employs MRPP for statistical analysis of community differences.
  • SSUnique: Facilitates exploration and recovery of phylogenetic novelty using SSUnique.
  • Indicator species analysis: Performs indicator species analysis to identify microbial taxa associated with specific environmental conditions.

Scientific Applications:

  • Microbial community profiling: Analyzing microbial community composition and diversity from SSU rRNA marker data generated by high-throughput sequencing.
  • Phylogenetic novelty detection: Recovering and exploring novel phylogenetic lineages using SSUnique.
  • Pattern discovery: Identifying community structure patterns and reduced-dimension representations via NMF.
  • Statistical community comparison: Assessing community-level differences and significance using MRPP.
  • Indicator taxa identification: Detecting taxa indicative of specific environmental conditions through indicator species analysis.

Methodology:

Integrates QIIME and mothur; implements PANDAseq for Illumina paired-end assembly; applies non-negative matrix factorization (NMF); performs multi-response permutation procedures (MRPP); employs SSUnique for phylogenetic novelty recovery; and conducts indicator species analysis.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
R, Shell, Perl, Python, C
Added:
8/3/2017
Last Updated:
12/10/2018

Operations

Publications

Lynch MDj, et al. AXIOME: automated exploration of microbial diversity. Gigascience. 2013; 2:3. doi: 10.1186/2047-217X-2-3

PMID: 23587322

Documentation

Links