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

A novel approach for the identification of single nucleotide polymorphisms.

Journal of bioinformatics and computational biology - 1 Apr 2026

Sohi Neelofar, Sohi Shaheena

Abstract excerpt

Human Genome Project (HGP), Genome Wide Association Studies (GWAS) and The Cancer Genome Atlas (TCGA) are some of the remarkable research endeavors that generated massive amounts of information about Single Nucleotide Polymorphisms (SNPs) and other genetic variations, providing valuable insights for understanding the association of SNPs with diseases. It enables early diagnosis, prevention, and treatment planning...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computational Biology
Share to Genome, Human

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 42011129
DOI: 10.1142/S0219720026500034

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 19 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel approach for the identification of single nucleotide polymorphisms.PMID 42011129Read ↗

A Fast and Scalable Workflow for SNPs Detection in Genome Sequences Using Hadoop Map-Reduce.Semantic proximity Read ↗

Current research status, databases and application of single nucleotide polymorphism.Semantic proximity Read ↗

A computational method for prediction of rSNPs in human genome.Semantic proximity Read ↗

Novel and efficient tag SNPs selection algorithms.Semantic proximity Read ↗

Dynamic programming for single nucleotide polymorphism ID identification in systematic association studies.Semantic proximity Read ↗

A double classification tree search algorithm for index SNP selection.Semantic proximity Read ↗

A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs.Semantic proximity Read ↗

A Hierarchical Clustering Method of Selecting Kernel SNP to Unify Informative SNP and Tag SNP.Semantic proximity Read ↗

Tag SNP selection in genotype data for maximizing SNP prediction accuracy.Semantic proximity Read ↗

Effective algorithms for tag SNP selection.Semantic proximity Read ↗

A powerful hybrid approach to select top single-nucleotide polymorphisms for genome-wide association study.Semantic proximity Read ↗

Single nucleotide polymorphism selection using independent component analysis.Semantic proximity Read ↗

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