Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MetaAnalyst: a user-friendly tool for metagenomic biomarker detection and phenotype classification.

BMC medical research methodology - 28 Dec 2022

Alshawaqfeh Mustafa, Rababah Salahelden, Hayajneh Abdullah, Gharaibeh Ammar, Serpedin Erchin

Abstract excerpt

BACKGROUND: Many metagenomic studies have linked the imbalance in microbial abundance profiles to a wide range of diseases. These studies suggest utilizing the microbial abundance profiles as potential markers for metagenomic-associated conditions. Due to the inevitable importance of biomarkers in understanding the disease progression and the development of possible therapies, various computational tools have...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Biomarkers
Share to Metagenomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 36577938
DOI: 10.1186/s12874-022-01812-5
PMCID: PMC9795700

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MetaAnalyst: a user-friendly tool for metagenomic biomarker detection and phenotype classification.PMID 36577938Read ↗

Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa.Semantic proximity Read ↗

Considerations for Performance Metrics of Metagenomic Next Generation Sequencing AnalysesSemantic proximity Read ↗

Interpretable and Accurate Prediction Models for Metagenomics DataSemantic proximity Read ↗

Considerations for performance metrics of metagenomic next generation sequencing analysesSemantic proximity Read ↗

Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of featuresSemantic proximity Read ↗

Pavian: Interactive analysis of metagenomics data for microbiomics and pathogen identificationSemantic proximity Read ↗

MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease PhenotypesSemantic proximity Read ↗

MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes.Semantic proximity Read ↗

PanGIA: A Metagenomics Analytical Framework for Routine Biosurveillance and Clinical Pathogen DetectionSemantic proximity Read ↗

Identification and validation of microbial biomarkers from cross-cohort datasets using xMarkerFinderSemantic proximity Read ↗

MetaPrism: A Toolkit for Joint Taxa/Gene Analysis of Metagenomic Sequencing DataSemantic proximity Read ↗

Multi-omics integration reveals functional signatures of gut microbiome in atherosclerosisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.