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

ngsTools: methods for population genetics analyses from next-generation sequencing data.

Bioinformatics (Oxford, England) - 15 May 2014

Fumagalli Matteo, Vieira Filipe G, Linderoth Tyler, Nielsen Rasmus

Abstract excerpt

SUMMARY: Next-generation sequencing technologies produce short reads that are either de novo assembled or mapped to a reference genome. Genotypes and/or single-nucleotide polymorphisms are then determined from the read composition at each site, which become the basis for many downstream analyses. However, for low sequencing depths, e.g. , there is considerable statistical uncertainty in the assignment of...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetics, Population
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to High-Throughput Nucleotide Sequencing

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 24458950
DOI: 10.1093/bioinformatics/btu041
PMCID: PMC4016704

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

ngsTools: methods for population genetics analyses from next-generation sequencing data.PMID 24458950Read ↗

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

Quantifying population genetic differentiation from next-generation sequencing data.Semantic proximity Read ↗

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

ngsJulia: population genetic analysis of next-generation DNA sequencing data with Julia language.Semantic proximity Read ↗

SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data.Semantic proximity Read ↗

A dynamic Bayesian Markov model for phasing and characterizing haplotypes in next-generation sequencing.Semantic proximity Read ↗

Assessing the effect of sequencing depth and sample size in population genetics inferences.Semantic proximity Read ↗

A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.Semantic proximity Read ↗

An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data.Semantic proximity Read ↗

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

Characterizing natural variation using next-generation sequencing technologies.Semantic proximity Read ↗

distAngsd: Fast and Accurate Inference of Genetic Distances for Next-Generation Sequencing Data.Semantic proximity Read ↗

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