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

Computational approaches for the genetic and phenotypic characterization of a Saccharomyces cerevisiae wine yeast collection.

Yeast (Chichester, England) - 1 Dec 2009

Franco-Duarte R, Umek L, Zupan B, Schuller D

Abstract excerpt

Within this study, we have used a set of computational techniques to relate the genotypes and phenotypes of natural populations of Saccharomyces cerevisiae, using allelic information from 11 microsatellite loci and results from 24 phenotypic tests. A group of 103 strains was obtained from a larger S. cerevisiae winemaking strain collection by clustering with self-organizing maps. These strains were further...

Read the complete abstract on PubMed

Topics

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

Share to Bayes Theorem
Share to Computational Biology
Share to DNA, Fungal

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Primers

Share to Microsatellite Repeats

Share to Saccharomyces cerevisiae

Source

Identifiers

PMID: 19894212
DOI: 10.1002/yea.1728

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computational approaches for the genetic and phenotypic characterization of a Saccharomyces cerevisiae wine yeast collection.PMID 19894212Read ↗

Computational models for prediction of yeast strain potential for winemaking from phenotypic profiles.Semantic proximity Read ↗

Computational models reveal genotype-phenotype associations in Saccharomyces cerevisiae.Semantic proximity Read ↗

SaccharomycesIDentifier, SID: strain-level analysis of Saccharomyces cerevisiae populations by using microsatellite meta-patterns.Semantic proximity Read ↗

A computational pipeline to discover highly phylogenetically informative genes in sequenced genomes: application to Saccharomyces cerevisiae natural strains.Semantic proximity Read ↗

Toward a global database for the molecular typing of Saccharomyces cerevisiae strains.Semantic proximity Read ↗

Polymorphisms of Saccharomyces cerevisiae genes involved in wine production.Semantic proximity Read ↗

Genetic diversity and population structure of Saccharomyces cerevisiae strains isolated from different grape varieties and winemaking regions.Semantic proximity Read ↗

New integrative computational approaches unveil the Saccharomyces cerevisiae pheno-metabolomic fermentative profile and allow strain selection for winemaking.Semantic proximity Read ↗

A database of microsatellite genotypes for Saccharomyces cerevisiae.Semantic proximity Read ↗

Genomic sequence diversity and population structure of Saccharomyces cerevisiae assessed by RAD-seq.Semantic proximity Read ↗

Phenotypic landscape of Saccharomyces cerevisiae during wine fermentation: evidence for origin-dependent metabolic traits.Semantic proximity Read ↗

Single nucleotide polymorphisms associated with wine fermentation and adaptation to nitrogen limitation in wild and domesticated yeast strains.Semantic proximity Read ↗

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