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Comparison of single-cell whole-genome amplification strategies

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/humu.22625openalex-snapshot

A New Workflow for Whole-Genome Sequencing of Single Human Cells

inferredcites →https://doi.org/10.1002/pd.4866openalex-snapshot

Comparison of three whole genome amplification methods for detection of genomic aberrations in single cells

inferredcites →https://doi.org/10.1007/978-1-4939-2990-0_14openalex-snapshot

Copy Number Variation Analysis by Array Analysis of Single Cells Following Whole Genome Amplification

inferredcites →https://doi.org/10.1007/978-1-4939-2990-0_2openalex-snapshot

Bias in Whole Genome Amplification: Causes and Considerations

inferredcites →https://doi.org/10.1016/0888-7543(92)90147-kopenalex-snapshot

Degenerate oligonucleotide-primed PCR: General amplification of target DNA by a single degenerate primer

inferredcites →https://doi.org/10.1016/j.cell.2012.02.028openalex-snapshot

Single-Cell Exome Sequencing and Monoclonal Evolution of a JAK2-Negative Myeloproliferative Neoplasm

inferredcites →https://doi.org/10.1016/j.jgg.2015.03.001openalex-snapshot

The Performance of Whole Genome Amplification Methods and Next-Generation Sequencing for Pre-Implantation Genetic Diagnosis of Chromosomal Abnormalities

inferredcites →https://doi.org/10.1016/s0021-9258(18)53833-3openalex-snapshot

Fidelity of phi 29 DNA polymerase. Comparison between protein-primed initiation and DNA polymerization.

inferredcites →https://doi.org/10.1016/s0021-9258(18)81883-xopenalex-snapshot

Highly Efficient DNA Synthesis by the Phage ϕ 29 DNA Polymerase

inferredcites →https://doi.org/10.1038/ncomms13296openalex-snapshot

TruePrime is a novel method for whole-genome amplification from single cells based on TthPrimPol

inferredcites →https://doi.org/10.1038/ncomms7822openalex-snapshot

Calibrating genomic and allelic coverage bias in single-cell sequencing

inferredcites →https://doi.org/10.1038/nmeth.3578openalex-snapshot

Interactive analysis and assessment of single-cell copy-number variations

inferredcites →https://doi.org/10.1038/nmeth.3835openalex-snapshot

Monovar: single-nucleotide variant detection in single cells

inferredcites →https://doi.org/10.1038/nmeth.4140openalex-snapshot

Scalable whole-genome single-cell library preparation without preamplification

inferredcites →https://doi.org/10.1038/nmeth.4227openalex-snapshot

Accurate identification of single-nucleotide variants in whole-genome-amplified single cells

inferredcites →https://doi.org/10.1038/nrg.2015.16openalex-snapshot

Single-cell genome sequencing: current state of the science

inferredcites →https://doi.org/10.1038/nrg2986openalex-snapshot

Genotype and SNP calling from next-generation sequencing data

inferredcites →https://doi.org/10.1038/nrg3117openalex-snapshot

Repetitive DNA and next-generation sequencing: computational challenges and solutions

inferredcites →https://doi.org/10.1038/s41598-017-03711-yopenalex-snapshot

Performance of four modern whole genome amplification methods for copy number variant detection in single cells

inferredcites →https://doi.org/10.1038/s41598-017-05436-4openalex-snapshot

Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics

inferredcites →https://doi.org/10.1038/srep11415openalex-snapshot

Quantitative assessment of single-cell whole genome amplification methods for detecting copy number variation using hippocampal neurons

inferredcites →https://doi.org/10.1038/srep11711openalex-snapshot

Whole genome amplification with SurePlex results in better copy number alteration detection using sequencing data compared to the MALBAC method

inferredcites →https://doi.org/10.1038/srep31825openalex-snapshot

Performance of a TthPrimPol-based whole genome amplification kit for copy number alteration detection using massively parallel sequencing

inferredcites →https://doi.org/10.1073/pnas.082089499openalex-snapshot

Comprehensive human genome amplification using multiple displacement amplification

inferredcites →https://doi.org/10.1073/pnas.86.17.6686openalex-snapshot

Alu polymerase chain reaction: a method for rapid isolation of human-specific sequences from complex DNA sources.

inferredcites →https://doi.org/10.1073/pnas.86.23.9253openalex-snapshot

Fidelity of DNA polymerases in DNA amplification.

inferredcites →https://doi.org/10.1073/pnas.89.13.5847openalex-snapshot

Whole genome amplification from a single cell: implications for genetic analysis.

inferredcites →https://doi.org/10.1073/pnas.96.8.4494openalex-snapshot

Comparative genomic hybridization, loss of heterozygosity, and DNA sequence analysis of single cells

inferredcites →https://doi.org/10.1093/bioinformatics/btp352openalex-snapshot

The Sequence Alignment/Map format and SAMtools

inferredcites →https://doi.org/10.1093/bioinformatics/btq033openalex-snapshot

BEDTools: a flexible suite of utilities for comparing genomic features

inferredcites →https://doi.org/10.1093/bioinformatics/btt047openalex-snapshot

Filtering duplicate reads from 454 pyrosequencing data

inferredcites →https://doi.org/10.1093/bioinformatics/btu540openalex-snapshot

Modeling genome coverage in single-cell sequencing

inferredcites →https://doi.org/10.1093/nar/gks001openalex-snapshot

Summarizing and correcting the GC content bias in high-throughput sequencing

inferredcites →https://doi.org/10.1093/nar/gkt345openalex-snapshot

Single-cell paired-end genome sequencing reveals structural variation per cell cycle

inferredcites →https://doi.org/10.1093/nar/gnh069openalex-snapshot

Genome coverage and sequence fidelity of 29 polymerase-based multiple strand displacement whole genome amplification

inferredcites →https://doi.org/10.1101/186940openalex-snapshot

Comparison of seven single cell Whole Genome Amplification commercial kits using targeted sequencing

inferredcites →https://doi.org/10.1101/gr.107524.110openalex-snapshot

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

inferredcites →https://doi.org/10.1126/science.1229164openalex-snapshot

Genome-Wide Detection of Single-Nucleotide and Copy-Number Variations of a Single Human Cell

inferredcites →https://doi.org/10.1146/annurev-genom-090413-025352openalex-snapshot

Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications

inferredcites →https://doi.org/10.1155/2014/287430openalex-snapshot

Error Rate Comparison during Polymerase Chain Reaction by DNA Polymerase

inferredcites →https://doi.org/10.1186/1471-2164-7-216openalex-snapshot

Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing

inferredcites →https://doi.org/10.1186/1472-6750-7-19openalex-snapshot

Mechanism of chimera formation during the Multiple Displacement Amplification reaction

inferredcites →https://doi.org/10.1186/s13059-014-0452-9openalex-snapshot

Cancer genomics: one cell at a time

inferredcites →https://doi.org/10.1186/s13059-015-0616-2openalex-snapshot

SNES: single nucleus exome sequencing

inferredcites →https://doi.org/10.1186/s13059-016-0960-xopenalex-snapshot

Single-cell genomics: coming of age

inferredcites →https://doi.org/10.1186/s13742-015-0068-3openalex-snapshot

Comparison of variations detection between whole-genome amplification methods used in single-cell resequencing

inferredcites →https://doi.org/10.1371/journal.pone.0105585openalex-snapshot

A Quantitative Comparison of Single-Cell Whole Genome Amplification Methods

inferredcites →https://doi.org/10.1371/journal.pone.0114520openalex-snapshot

Comparison of Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) in Single-Cell Sequencing

inferredcites →https://doi.org/10.1371/journal.pone.0171566openalex-snapshot

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

inferredcites →https://doi.org/10.1371/journal.pone.0196334openalex-snapshot

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

inferredcites →https://doi.org/10.14806/ej.17.1.200openalex-snapshot

Cutadapt removes adapter sequences from high-throughput sequencing reads

inferredcites →https://doi.org/10.1534/g3.117.039008openalex-snapshot

Genotype Calling from Population-Genomic Sequencing Data

inferredcites →https://doi.org/10.18632/oncotarget.10701openalex-snapshot

Comparative study of whole genome amplification and next generation sequencing performance of single cancer cells

inferredcites →https://doi.org/10.32614/rj-2016-009openalex-snapshot

FWDselect: An R Package for Variable Selection in Regression Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/adbi.201900188openalex-snapshot

Single‐Cell Analysis Using Droplet Microfluidics

inferred← citeshttps://doi.org/10.1007/978-3-030-80962-1_143-1openalex-snapshot

Single-Cell Sequencing in Cancer Research: Challenges and Opportunities

inferred← citeshttps://doi.org/10.1007/978-3-030-91836-1_15openalex-snapshot

Single-Cell Sequencing Technologies in Precision Oncology

inferred← citeshttps://doi.org/10.1007/978-3-032-00763-6_143openalex-snapshot

Single-Cell Sequencing in Cancer Research: Challenges and Opportunities

inferred← citeshttps://doi.org/10.1007/s00253-020-10844-0openalex-snapshot

Microbial single-cell omics: the crux of the matter

inferred← citeshttps://doi.org/10.1016/j.cell.2020.01.029openalex-snapshot

Lymphoma Driver Mutations in the Pathogenic Evolution of an Iconic Human Autoantibody

inferred← citeshttps://doi.org/10.1016/j.matchemphys.2022.126164openalex-snapshot

Microfluidic organic bioelectronic chips for efficient isolation of trophoblast cells using a combination of rational catenation and electrically controllable refining

inferred← citeshttps://doi.org/10.1038/s41467-021-26938-wopenalex-snapshot

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

inferred← citeshttps://doi.org/10.1038/s41576-025-00832-3openalex-snapshot

Advances in single-cell DNA sequencing enable insights into human somatic mosaicism

inferred← citeshttps://doi.org/10.1093/bioinformatics/btaa599openalex-snapshot

BnpC: Bayesian non-parametric clustering of single-cell mutation profiles

inferred← citeshttps://doi.org/10.1186/s13059-020-02119-8openalex-snapshot

Methods for copy number aberration detection from single-cell DNA-sequencing data

inferred← citeshttps://doi.org/10.1186/s13059-020-1926-6openalex-snapshot

Eleven grand challenges in single-cell data science

inferred← citeshttps://doi.org/10.1186/s13059-025-03738-9openalex-snapshot

DelSIEVE: cell phylogeny modeling of single nucleotide variants and deletions from single-cell DNA sequencing data

inferred← citeshttps://doi.org/10.1186/s13073-021-00889-9openalex-snapshot

Single-cell sequencing of the small and AT-skewed genome of malaria parasites

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010480openalex-snapshot

Assessing the performance of methods for cell clustering from single-cell DNA sequencing data

inferred← citeshttps://doi.org/10.3390/diagnostics13213306openalex-snapshot

Flow Sorting, Whole Genome Amplification and Next-Generation Sequencing as Combined Tools to Study Heterogeneous Acute Lymphoblastic Leukemia

inferred← citeshttps://doi.org/10.3390/ijms24119331openalex-snapshot

DNA Polymerases for Whole Genome Amplification: Considerations and Future Directions

inferred← citeshttps://doi.org/10.70675/6783aff3z3096z462czad38z46ccfca84203openalex-snapshot

Liquid Biopsy in Pediatric Sarcoma

inferred← citeshttps://doi.org/10.70675/9573e2e9zb2bbz45c3z8617z3b3c131fceeeopenalex-snapshot

Développement d'une approche innovante de génomique sur cellules uniques et application aux communautés bactériennes du sol

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