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

eALPS: estimating abundance levels in pooled sequencing using available genotyping data.

Journal of computational biology : a journal of computational molecular cell biology - 1 Nov 2013

Eskin Itamar, Hormozdiari Farhad, Conde Lucia, Riby Jacques, Skibola Christine F, Eskin Eleazar, Halperin Eran

Abstract excerpt

The recent advances in high-throughput sequencing technologies bring the potential of a better characterization of the genetic variation in humans and other organisms. In many occasions, either by design or by necessity, the sequencing procedure is performed on a pool of DNA samples with different abundances, where the abundance of each sample is unknown. Such a scenario is naturally occurring in the case 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 False Positive Reactions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Bacterial

Share to Genome, Human

Share to Genotyping Techniques

Share to Lymphoma, Non-Hodgkin

Share to Metagenome

Share to Microbiota

Source

Open in PubMed Open full text

Identifiers

PMID: 24144111
DOI: 10.1089/cmb.2013.0105
PMCID: PMC4013753

Genes

BCR

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

eALPS: estimating abundance levels in pooled sequencing using available genotyping data.PMID 24144111Read ↗

Maximum likelihood estimation of frequencies of known haplotypes from pooled sequence data.Semantic proximity Read ↗

PoolHap: inferring haplotype frequencies from pooled samples by next generation sequencing.Semantic proximity Read ↗

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

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

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

Weighted pooling--practical and cost-effective techniques for pooled high-throughput sequencing.Semantic proximity Read ↗

Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling.Semantic proximity Read ↗

Detecting SNPs and estimating allele frequencies in clonal bacterial populations by sequencing pooled DNA.Semantic proximity Read ↗

SNP calling by sequencing pooled samples.Semantic proximity Read ↗

Empirical validation of pooled whole genome population re-sequencing in Drosophila melanogaster.Semantic proximity Read ↗

Biases and errors on allele frequency estimation and disease association tests of next-generation sequencing of pooled samples.Semantic proximity Read ↗

DNA Sudoku--harnessing high-throughput sequencing for multiplexed specimen analysis.Semantic proximity Read ↗

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