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

Assessing consistency between versions of genotype-calling algorithm Birdseed for the Genome-Wide Human SNP Array 6.0 using HapMap samples.

Advances in experimental medicine and biology - 1 Jan 2010

Hong Huixiao, Xu Lei, Tong Weida

Abstract excerpt

Highly accurate and reproducible genotype calling is a key to success of genome-wide association studies (GWAS) since errors introduced by calling algorithms can lead to inflation of false associations between genotype and phenotype. The Affymetrix Genome-Wide Human SNP Array 6.0 is widely utilized and was used in the current GWAS. Birdseed, a genotype-calling algorithm for this chip, is available in two...

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

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Nucleic Acid

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Share to Reproducibility of Results

Source

Identifiers

PMID: 20865519
DOI: 10.1007/978-1-4419-5913-3_40

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

Assessing consistency between versions of genotype-calling algorithm Birdseed for the Genome-Wide Human SNP Array 6.0 using HapMap samples.PMID 20865519Read ↗

Evaluating the performance of Affymetrix SNP Array 6.0 platform with 400 Japanese individuals.Semantic proximity Read ↗

Evaluating the influence of quality control decisions and software algorithms on SNP calling for the affymetrix 6.0 SNP array platform.Semantic proximity Read ↗

Genotype calling for the Affymetrix platform.Semantic proximity Read ↗

[Application of SNPstream for medical genetics research].Semantic proximity Read ↗

Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium.Semantic proximity Read ↗

SNP allele calling of Illumina Infinium Omni5-4 data using the butterfly method.Semantic proximity Read ↗

Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium.Semantic proximity Read ↗

Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples.Semantic proximity Read ↗

Automated SNP genotype clustering algorithm to improve data completeness in high-throughput SNP genotyping datasets from custom arrays.Semantic proximity Read ↗

Pairwise comparative analysis of six haplotype assembly methods based on users’ experienceSemantic proximity Read ↗

PySmooth: a Python tool for the removal and correction of genotyping errors.Semantic proximity Read ↗

Validation and extension of an empirical Bayes method for SNP calling on Affymetrix microarrays.Semantic proximity Read ↗

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