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

SNP-associations and phenotype predictions from hundreds of microbial genomes without genome alignments.

PloS one - 1 Jan 2014

Hall Barry G

Abstract excerpt

SNP-association studies are a starting point for identifying genes that may be responsible for specific phenotypes, such as disease traits. The vast bulk of tools for SNP-association studies are directed toward SNPs in the human genome, and I am unaware of any tools designed specifically for such...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Escherichia coli
Share to Genome, Bacterial

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phylogeny

Share to Polymorphism, Single Nucleotide

Share to Reproducibility of Results

Share to Shigella

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 24587377
DOI: 10.1371/journal.pone.0090490
PMCID: PMC3938750

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24587377-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

SNP-associations and phenotype predictions from hundreds of microbial genomes without genome alignments.PMID 24587377Read ↗

Genome-wide association mapping in bacteria?Semantic proximity Read ↗

Phenotype inference in an Escherichia coli strain panel.Semantic proximity Read ↗

A <i>k</i> -mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteriaSemantic proximity Read ↗

Lessons Learnt From Using the Machine Learning Random Forest Algorithm to Predict Virulence in Streptococcus pyogenes.Semantic proximity Read ↗

Genome-wide association, prediction and heritability in bacteriaSemantic proximity Read ↗

compGWAS: a new GWAS tool allows revelation of the genetic architecture and risk stratification for the versatile pathogen Streptococcus pyogenesSemantic proximity Read ↗

Benchmarking bacterial genome-wide association study methods using simulated genomes and phenotypes.Semantic proximity Read ↗

PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies.Semantic proximity Read ↗

microGWAS: a computational pipeline to perform large-scale bacterial genome-wide association studies.Semantic proximity Read ↗

Benchmarking bacterial genome-wide association study (GWAS) methods using simulated genomes and phenotypesSemantic proximity Read ↗

A cross-genomic approach for systematic mapping of phenotypic traits to genes.Semantic proximity Read ↗

SNPsFinder--a web-based application for genome-wide discovery of single nucleotide polymorphisms in microbial genomes.Semantic proximity Read ↗

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