AutoAssemblyD

AutoAssemblyD orchestrates genome assembly of next-generation sequencing short reads by integrating multiple assemblers and standardizing input parameters for assembly tasks.


Key Features:

  • Multi-assembler integration: Supports assemblers and aligners including Velvet, Abyss, Euler-SR, Mira, Edna, Maq, SHRiMP, Newbler, ALLPATHS, Bowtie, and BWA.
  • XML template-based configuration: Uses XML templates to specify and standardize assembler input parameters across different algorithms.
  • Local and remote execution: Executes genome assemblies both locally and on remote computing resources.
  • Remote submission and management: Provides capabilities for remote submission and management of assembly tasks.
  • High-throughput data handling: Processes large volumes of next-generation sequencing short-read data for de novo and reference-based assembly workflows.

Scientific Applications:

  • Genome assembly from NGS reads: Produces assembled genomes from high-throughput short-read sequencing datasets.
  • Comparative genomics and evolutionary biology: Enables generation of assemblies used in comparative and evolutionary analyses.
  • Applied genomics and personalized medicine: Supports assembly generation for projects in genomics and personalized medicine where assembled genomes are required.
  • Assembly strategy optimization: Facilitates comparison of results across multiple assemblers to optimize assembly strategies for specific datasets.

Methodology:

Implements a unified platform that integrates multiple assemblers, standardizes input parameters via XML templates, and supports local and remote submission and management of assembly tasks.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Added:
8/3/2017
Last Updated:
11/24/2024

Operations

Publications

Veras A, de Sá P, Azevedo V, Silva A, Ramos R. AutoAssemblyD: a graphical user interface system for several genome assemblers. Bioinformation. 2013;9(16):840-841. doi:10.6026/97320630009840. PMID:24143057. PMCID:PMC3796888.

Documentation

Links