MLTreeMap

MLTreeMap assigns taxonomic and functional identities to sequence fragments from shotgun sequencing of environmental DNA using maximum likelihood analyses applied to a curated set of informative gene families.

Key Features:

• Maximum Likelihood Approach: Uses maximum likelihood algorithms to perform phylogenetic and functional assignments of sequence fragments.
• Focus on Informative Gene Families: Targets a curated selection of marker gene families known to be informative for microbial community analysis.
• Use of Raw Nucleotide Sequences: Accepts raw nucleotide sequences from environmental DNA as input.
• Hand-Curated Reference Information: Incorporates hand-curated reference datasets to support phylotyping and functional annotation.
• Validation with Diverse Data Sets: Validated using complete genomes as well as simulated and actual environmental sequences.

Scientific Applications:

• Uncultivated Microbe Analysis: Provides taxonomic and functional insights into uncultivated microbial taxa from environmental samples.
• Metagenomic Taxonomic Profiling: Enables high-accuracy taxonomic profiling of microbial communities from shotgun metagenomic data.
• Functional Annotation of Communities: Facilitates assignment of functional roles to genes detected in environmental metagenomes.
• Ecological and Evolutionary Studies: Supports studies of microbial diversity, dynamics, and roles within natural habitats.

Methodology:

Inputs are raw nucleotide sequences from environmental DNA; marker genes are identified by matching sequences to a curated set of informative gene families; taxonomic identities and functional roles are assigned to detected genes using maximum likelihood algorithms and the hand-curated reference datasets.