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.