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

Comparison of whole genome amplification techniques for human single cell exome sequencing.

PloS one - 1 Jan 2017

Borgström Erik, Paterlini Marta, Mold Jeff E, Frisen Jonas, Lundeberg Joakim

Abstract excerpt

BACKGROUND: Whole genome amplification (WGA) is currently a prerequisite for single cell whole genome or exome sequencing. Depending on the method used the rate of artifact formation, allelic dropout and sequence coverage over the genome may differ significantly. RESULTS: The largest difference between the evaluated protocols was observed when analyzing the target coverage and read depth distribution. These...

Read the complete abstract on PubMed

Topics

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

Share to Exome
Share to Genome, Human
Share to High-Throughput Nucleotide Sequencing

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Nucleic Acid Amplification Techniques

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Share to Single-Cell Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 28207771
DOI: 10.1371/journal.pone.0171566
PMCID: PMC5313163

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparison of whole genome amplification techniques for human single cell exome sequencing.PMID 28207771Read ↗

Comparison of single-cell whole-genome amplification strategiesSemantic proximity Read ↗

Comparison of seven single cell Whole Genome Amplification commercial kits using targeted sequencingSemantic proximity Read ↗

Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods.Semantic proximity Read ↗

Single-Cell Whole-Genome Amplification and Sequencing: Methodology and ApplicationsSemantic proximity Read ↗

Performance of four modern whole genome amplification methods for copy number variant detection in single cellsSemantic proximity Read ↗

Performance Evaluation of Whole-Genome Amplification Platforms for Clinical Next-Generation Sequencing with Minimal Nucleic Acid Input.Semantic proximity Read ↗

Comprehensive comparison of three commercial human whole-exome capture platforms.Semantic proximity Read ↗

Comparison of CE- and MPS-based analyses of forensic markers in a single cell after whole genome amplification.Semantic proximity Read ↗

Haplotype phasing in single-cell DNA-sequencing data.Semantic proximity Read ↗

Performance comparison of four commercial human whole-exome capture platforms.Semantic proximity Read ↗

SNES: single nucleus exome sequencing.Semantic proximity Read ↗

A simple strategy for reducing false negatives in calling variants from single-cell sequencing data.Semantic proximity Read ↗

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