Agalma

Agalma automates construction of gene sequence matrices and preliminary species trees from raw Illumina transcriptome data and public genomes and transcriptomes to support phylogenomic analyses.


Key Features:

  • Automated Workflow: Automates construction of gene sequence matrices and preliminary species trees from raw Illumina transcriptome data, enhancing reproducibility and efficiency.
  • Integration with Diverse Data Sources: Incorporates sequences from newly sequenced transcriptomes and publicly available genomes and transcriptomes.
  • Comprehensive Diagnostics and Reporting: Provides detailed diagnostics at each analysis stage and generates HTML reports documenting processor and memory usage, metadata management, and version control of external programs.
  • Built on BioLite Framework: Uses the BioLite framework to track provenance, profile computational resources, and comprehensively log analytical steps to support reproducibility.
  • Modular Workflow for Method Development: Employs a modular design that allows optimization of individual components within a full phylogenomic analysis and includes bundled test data.

Scientific Applications:

  • Large-scale phylogenetic inference: Enables construction of comprehensive phylogenies from hundreds to thousands of genes across diverse taxa.
  • Evolutionary biology and systematics: Supports analyses of species relationships and evolutionary histories using combined transcriptome and genome data.

Methodology:

Data input: raw Illumina transcriptome data; Annotation and assembly: annotate assemblies and align gene sequences into matrices; Phylogeny construction: generate a preliminary species tree from aligned sequences; Diagnostics and reporting: provide detailed diagnostics and generate comprehensive HTML reports documenting processor and memory usage, metadata management, and external program version control.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Python
Added:
12/18/2017
Last Updated:
11/25/2024

Operations

Publications

Dunn CW, Howison M, Zapata F. Agalma: an automated phylogenomics workflow. BMC Bioinformatics. 2013;14(1). doi:10.1186/1471-2105-14-330. PMID:24252138. PMCID:PMC3840672.

Documentation

Links