OMWare

OMWare assembles de novo restriction enzyme-based physical map data to characterize long DNA molecules and support genomic analyses such as in Gossypium raimondii.

Key Features:

• Efficient Assembly Generation: Generates large numbers of de novo map assemblies from a single dataset, demonstrated by producing 405 distinct assemblies for Gossypium raimondii data.
• Parameter Optimization: Systematically explores and optimizes input parameters that define noise characteristics in physical mapping datasets by testing multiple parameter values.
• Intermediate Result Reuse: Reuses compatible intermediate results across assembly runs to accelerate generation and reduce computational redundancy.
• Comprehensive Quality Assessment: Evaluates each assembly for contiguity, internal consistency, and accuracy, and identifies highly accurate assemblies even when contiguity and internal consistency are not predictive of accuracy.

Scientific Applications:

• De novo physical map assembly: Assembly and characterization of complex genomes, exemplified by work on Gossypium raimondii.
• Long-molecule characterization: Analysis of long DNA molecules using restriction enzyme-based physical mapping where sequencing is limited by molecule length.
• Plant genetics and breeding support: Production of reliable genetic maps to inform studies of genomic structure and function in plant research and breeding programs.

Methodology:

Systematic exploration of input parameters by generating multiple assemblies across varied parameter sets, evaluation of each assembly for contiguity, internal consistency, and accuracy, and reuse of compatible intermediate results to streamline assembly generation.