MetaGT
MetaGT integrates metagenomic assemblies with de novo metatranscriptome assemblies to improve metatranscriptome contiguity and completeness and to quantify transcript abundances from Illumina sequencing data.
Key Features:
- Integration of metatranscriptomic and metagenomic data: Aligns metatranscriptome assemblies with metagenome assemblies from the same sample to fill missing regions and improve assembly contiguity and completeness.
- De novo metatranscriptome assembly: Performs de novo assembly of metatranscriptomic reads to capture active gene expression profiles in microbial communities.
- Support for Illumina sequencing data: Accepts Illumina-derived metagenome and metatranscriptome sequencing datasets as input.
- Extraction of coding DNA sequences (CDSs): Extracts CDSs that are covered by transcripts to enable downstream functional analyses.
- Estimation of transcript abundances: Quantifies transcript abundances from assembled metatranscriptomic data.
- Implementation in NextFlow: Implemented using NextFlow to define the pipeline workflow and execution.
Scientific Applications:
- Functional activity profiling: Determining active genes and their expression levels in microbiomes to study functional activity under varying conditions.
- Microbial community dynamics: Investigating gene function and microbial community responses to environmental changes through improved metatranscriptome assemblies.
Methodology:
Performs de novo assembly of metatranscriptomic reads, aligns metatranscriptomic contigs to metagenomic assemblies to fill gaps and enhance assembly quality, extracts CDSs covered by transcripts, and estimates transcript abundances; the pipeline is implemented in NextFlow.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Groovy, Python
- Added:
- 2/8/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Shafranskaya D, Kale V, Finn R, Lapidus AL, Korobeynikov A, Prjibelski AD. MetaGT: A pipeline for de novo assembly of metatranscriptomes with the aid of metagenomic data. Frontiers in Microbiology. 2022;13. doi:10.3389/fmicb.2022.981458. PMID:36386613. PMCID:PMC9651917.