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

The next generation of molecular markers from massively parallel sequencing of pooled DNA samples.

Genetics - 1 Sept 2010

Futschik Andreas, Schlötterer Christian

Abstract excerpt

Next generation sequencing (NGS) is about to revolutionize genetic analysis. Currently NGS techniques are mainly used to sequence individual genomes. Due to the high sequence coverage required, the costs for population-scale analyses are still too high to allow an extension to nonmodel organisms. Here, we show that NGS of pools of individuals is often more effective in SNP discovery and provides more accurate...

Read the complete abstract on PubMed

Topics

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

Share to DNA
Share to Gene Frequency
Share to Genetic Markers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Haplotypes

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: 20457880
DOI: 10.1534/genetics.110.114397
PMCID: PMC2940288

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

The next generation of molecular markers from massively parallel sequencing of pooled DNA samples.PMID 20457880Read ↗

Estimation of population allele frequencies from next-generation sequencing data: pool-versus individual-based genotyping.Semantic proximity Read ↗

SNP calling by sequencing pooled samples.Semantic proximity Read ↗

On optimal pooling designs to identify rare variants through massive resequencing.Semantic proximity Read ↗

Whole-genome sequencing approaches for conservation biology: Advantages, limitations and practical recommendations.Semantic proximity Read ↗

Sequencing pools of individuals - mining genome-wide polymorphism data without big funding.Semantic proximity Read ↗

Design of association studies with pooled or un-pooled next-generation sequencing data.Semantic proximity Read ↗

A beginner's guide to low-coverage whole genome sequencing for population genomics.Semantic proximity Read ↗

Ehapp2: Estimate haplotype frequencies from pooled sequencing data with prior database information.Semantic proximity Read ↗

DNA pooling and statistical tests for the detection of single nucleotide polymorphisms.Semantic proximity Read ↗

Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data.Semantic proximity Read ↗

MIG-seq: an effective PCR-based method for genome-wide single-nucleotide polymorphism genotyping using the next-generation sequencing platform.Semantic proximity Read ↗

grenedalf: population genetic statistics for the next generation of pool sequencing.Semantic proximity Read ↗

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