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

Deconvolving sequence variation in mixed DNA populations.

Journal of computational biology : a journal of computational molecular cell biology - 1 Jan 2003

Wildenberg Andy, Skiena Steven, Sumazin Pavel

Abstract excerpt

We present an original approach to identifying sequence variants in a mixed DNA population from sequence trace data. The heart of the method is based on parsimony: given a wildtype DNA sequence, a set of observed variations at each position collected from sequencing data, and a complete catalog o...

Read the complete abstract on PubMed

Topics

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

Share to Data Interpretation, Statistical
Share to Algorithms
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genetic Variation

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Share to Sequence Deletion

Source

Identifiers

PMID: 12935349
DOI: 10.1089/10665270360688237

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026. Prepared record publication-12935349-2026-09-01.1. Manifest publication-graph-cohort-2026-09-01.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deconvolving sequence variation in mixed DNA populations.PMID 12935349Read ↗

Highly sensitive and specific detection of rare variants in mixed viral populations from massively parallel sequence data.Semantic proximity Read ↗

Reconstruction of clonal trees and tumor composition from multi-sample sequencing data.Semantic proximity Read ↗

CHOPER filters enable rare mutation detection in complex mutagenesis populations by next-generation sequencing.Semantic proximity Read ↗

Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction.Semantic proximity Read ↗

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

Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reductionSemantic proximity Read ↗

Identification of rare alleles and their carriers using compressed se(que)nsing.Semantic proximity Read ↗

Resolution of mixed human DNA samples using mitochondrial DNA sequence variants.Semantic proximity Read ↗

A regression based approach to phylogenetic reconstruction from multi-sample bulk DNA sequencing of tumorsSemantic proximity Read ↗

A Perfect Match Genomic Landscape Provides a Unified Framework for the Precise Detection of Variation in Natural and Synthetic Haploid Genomes.Semantic proximity Read ↗

Inferring the Mutational History of a Tumor Using Multi-state Perfect Phylogeny Mixtures.Semantic proximity Read ↗

Phylogenetic Copy-Number Factorization of Multiple Tumor SamplesSemantic proximity Read ↗

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