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

MAFsnp: A Multi-Sample Accurate and Flexible SNP Caller Using Next-Generation Sequencing Data.

PloS one - 1 Jan 2015

Hu Jiyuan, Li Tengfei, Xiu Zidi, Zhang Hong

Abstract excerpt

Most existing statistical methods developed for calling single nucleotide polymorphisms (SNPs) using next-generation sequencing (NGS) data are based on Bayesian frameworks, and there does not exist any SNP caller that produces p-values for calling SNPs in a frequentist framework. To fill in this gap, we develop a new method MAFsnp, a Multiple-sample based Accurate and Flexible algorithm for calling SNPs with NGS...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Asian People
Share to Exons

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to High-Throughput Nucleotide Sequencing

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 26309201
DOI: 10.1371/journal.pone.0135332
PMCID: PMC4550471

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MAFsnp: A Multi-Sample Accurate and Flexible SNP Caller Using Next-Generation Sequencing Data.PMID 26309201Read ↗

BM-SNP: A Bayesian Model for SNP Calling Using High Throughput Sequencing Data.Semantic proximity Read ↗

An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data.Semantic proximity Read ↗

Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies.Semantic proximity Read ↗

SNP calling, genotype calling, and sample allele frequency estimation from New-Generation Sequencing data.Semantic proximity Read ↗

Sniper: improved SNP discovery by multiply mapping deep sequenced reads.Semantic proximity Read ↗

Comparing a few SNP calling algorithms using low-coverage sequencing data.Semantic proximity Read ↗

Likelihood-based complex trait association testing for arbitrary depth sequencing data.Semantic proximity Read ↗

A new model calling procedure for Illumina BeadArray data.Semantic proximity Read ↗

A study on fast calling variants from next-generation sequencing data using decision tree.Semantic proximity Read ↗

An enrichment method for mapping ambiguous reads to the reference genome for NGS analysis.Semantic proximity Read ↗

An empirical Bayes mixture model for SNP detection in pooled sequencing data.Semantic proximity Read ↗

A new genotype calling method for affymetrix SNP arrays.Semantic proximity Read ↗

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