aTRAM
aTRAM assembles targeted gene loci from paired-end Illumina reads using an iterative, reference-guided BLAST and targeted de novo assembly strategy to recover genes for phylogenomic and comparative genomic analyses.
Key Features:
- Targeted De Novo Assembly: Performs targeted de novo assembly of specific loci from a single library of paired-end Illumina reads.
- Iterative Reference-guided Retrieval: Uses an iterative approach integrating a reference sequence and BLAST to identify and recruit reads for assembly.
- Rapid Recovery Across Divergent Taxa: Recovers genes from taxa diverged approximately 25 to 110 million years with reported gene recovery rates of 97%–99%.
- Comparative Efficiency: Assembles sequences in under one minute per gene for closely related taxa while matching the accuracy of reference-based and de novo approaches.
- Reduced Computational Time: Reduces overall assembly time by focusing on loci of interest, enabling locus assemblies to complete in minutes depending on target size.
Scientific Applications:
- Phylogenomics: Enables assembly of orthologous genes across taxa to support phylogenetic inference and study of evolutionary relationships.
- Evolutionary Biology: Supports analyses of genetic divergence and evolutionary history across distantly related taxa.
- Comparative Genomics: Facilitates comparative analyses of gene sequences without requiring comprehensive draft genome assemblies.
Methodology:
Iteratively uses BLAST with a reference sequence to identify and recruit reads from a single library of paired-end Illumina reads and performs targeted de novo assembly of each locus.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 12/18/2017
- Last Updated:
- 1/11/2019
Operations
Publications
Allen JM, Huang DI, Cronk QC, Johnson KP. aTRAM - automated target restricted assembly method: a fast method for assembling loci across divergent taxa from next-generation sequencing data. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0515-2. PMID:25887972. PMCID:PMC4380108.