ArticleNAR genomics and bioinformatics2025
MeTAline: enabling reproducible and scalable metagenomic analyses.
Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Gut microbiome biomarkers for colorectal cancer detection: a systematic review highlighting age as a key confounder.Frontiers in oncology · 2026Pooled it
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The taxonomic and functional characterization of microbial communities inhabiting a given niche can elucidate associations between the microbiota and relevant variables, including health and disease. As compared to metabarcoding, shotgun metagenomic sequencing, which analyzes all DNA present in a sample, offers superior taxonomic resolution and additionally enables the inference of functional capabilities encoded within the microbial community of interest. However, this approach requires the use of diverse computational tools and substantial computational resources. Here, we present MeTAline, a bioinformatics pipeline for the analysis of shotgun metagenomics data. Implemented in Snakemake, MeTAline provides an efficient and reproducible workflow encompassing read trimming and filtering, host read removal, taxonomic classification via both
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.