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

Screening Discriminating SNPs for Chinese Indigenous Pig Breeds Identification Using a Random Forests Algorithm.

Genes - 25 Nov 2022

Gao Jun, Sun Lingwei, Zhang Shushan, Xu Jiehuan, He Mengqian, Zhang Defu, Wu Caifeng, Dai Jianjun

Abstract excerpt

Chinese indigenous pig breeds have unique genetic characteristics and a rich diversity; however, effective breed identification methods have not yet been well established. In this study, a genotype file of 62,822 single-nucleotide polymorphisms (SNPs), which were obtained from 1059 individuals of 18 Chinese indigenous pig breeds and 5 cosmopolitan breeds, were used to screen the discriminating SNPs for pig breed...

Read the complete abstract on PubMed

Topics

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

Share to Genotype
Share to Linkage Disequilibrium

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 36553474
DOI: 10.3390/genes13122207
PMCID: PMC9778029

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Screening Discriminating SNPs for Chinese Indigenous Pig Breeds Identification Using a Random Forests Algorithm.PMID 36553474Read ↗

A web tool for the global identification of pig breeds.Semantic proximity Read ↗

Genetic variation and genetic structure of five Chinese indigenous pig populations in Jiangsu Province revealed by sequencing data.Semantic proximity Read ↗

Classification accuracy of machine learning algorithms for Chinese local cattle breeds using genomic markers.Semantic proximity Read ↗

Genomic breed composition of Ningxiang pig via different SNP panels.Semantic proximity Read ↗

The genetic diversity and population structures of indigenous pig breeds in Zhejiang Province revealed by GGRS sequencing.Semantic proximity Read ↗

Genome-wide genetic variation discovery in Chinese Taihu pig breeds using next generation sequencing.Semantic proximity Read ↗

Identifying the unique characteristics of the Chinese indigenous pig breeds in the Yangtze River Delta region for precise conservation.Semantic proximity Read ↗

Genome-wide analysis reveals genetic characteristics and selection signatures in Yantai Black Pig of Shandong, ChinaSemantic proximity Read ↗

Evaluation of the Genetic Diversity and Population Structure of Four Native Pig Populations in Gansu Province.Semantic proximity Read ↗

Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds.Semantic proximity Read ↗

Genetic diversity and selection signatures of four indigenous pig breeds from eastern China.Semantic proximity Read ↗

Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique.Semantic proximity Read ↗

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