MicroGMT

MicroGMT identifies and characterizes small insertions, deletions (indels), and point mutations in microbial genomes to support studies of molecular evolution and epidemiology.

Key Features:

• Implementation: Implemented in Python.
• Input Types: Accepts raw sequence reads and assembled genome sequences.
• Mutation Detection: Identifies small indels and point mutations by comparing input sequences against a database of reference sequences.
• SARS-CoV-2 Optimization: Default settings are tailored for SARS-CoV-2 genomes while remaining applicable to other microbial genomes.

Scientific Applications:

• Molecular evolution studies: Analysis of small indels and point mutations to investigate evolutionary dynamics of microbes.
• Epidemiological surveillance: Rapid identification and tracking of novel mutations during viral outbreaks, including SARS-CoV-2.
• Public health and vaccine design: Providing mutation data to inform public health responses and vaccine development.

Methodology:

MicroGMT aligns input sequences against reference genomes stored in its database and detects discrepancies that indicate small indels and point mutations.