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

PhredEM: a phred-score-informed genotype-calling approach for next-generation sequencing studies.

Genetic epidemiology - 1 Jul 2017

Liao Peizhou, Satten Glen A, Hu Yi-Juan

Abstract excerpt

A fundamental challenge in analyzing next-generation sequencing (NGS) data is to determine an individual's genotype accurately, as the accuracy of the inferred genotype is essential to downstream analyses. Correctly estimating the base-calling error rate is critical to accurate genotype calls. Phred scores that accompany each call can be used to decide which calls are reliable. Some genotype callers, such as GATK...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Databases, Genetic
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to High-Throughput Nucleotide Sequencing

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 28560825
DOI: 10.1002/gepi.22048
PMCID: PMC5564424

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

PhredEM: a phred-score-informed genotype-calling approach for next-generation sequencing studies.PMID 28560825Read ↗

Genotype and SNP calling from next-generation sequencing data.Semantic proximity Read ↗

SeqEM: an adaptive genotype-calling approach for next-generation sequencing studies.Semantic proximity Read ↗

NGSCheckMate: software for validating sample identity in next-generation sequencing studies within and across data types.Semantic proximity Read ↗

Rapid genotype refinement for whole-genome sequencing data using multi-variate normal distributions.Semantic proximity Read ↗

Comprehensive Evaluation of Genotype Imputation Tools for Ultra-low-depth Whole-Genome Sequencing Data.Semantic proximity Read ↗

SGCaller: a program to call and review genotypes measured by sequencing.Semantic proximity Read ↗

ReSeqTools: an integrated toolkit for large-scale next-generation sequencing based resequencing analysis.Semantic proximity Read ↗

A SNP discovery method to assess variant allele probability from next-generation resequencing data.Semantic proximity Read ↗

PyroHMMsnp: an SNP caller for Ion Torrent and 454 sequencing data.Semantic proximity Read ↗

Genotype calling from next-generation sequencing data using haplotype information of reads.Semantic proximity Read ↗

Genotype-Frequency Estimation from High-Throughput Sequencing Data.Semantic proximity Read ↗

GINDEL: accurate genotype calling of insertions and deletions from low coverage population sequence reads.Semantic proximity Read ↗

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