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

Development and validation of open-source software for DNA mixture interpretation based on a quantitative continuous model.

PloS one - 1 Jan 2017

Manabe Sho, Morimoto Chie, Hamano Yuya, Fujimoto Shuntaro, Tamaki Keiji

Abstract excerpt

In criminal investigations, forensic scientists need to evaluate DNA mixtures. The estimation of the number of contributors and evaluation of the contribution of a person of interest (POI) from these samples are challenging. In this study, we developed a new open-source software "Kongoh" for interpreting DNA mixture based on a quantitative continuous model. The model uses quantitative information of peak heights...

Read the complete abstract on PubMed

Topics

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

Share to Artifacts
Share to DNA Fingerprinting
Share to Forensic Genetics

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

Share to Genetic Loci

Share to Likelihood Functions

Share to Reproducibility of Results

Share to Sensitivity and Specificity

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 29149210
DOI: 10.1371/journal.pone.0188183
PMCID: PMC5693437

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

Development and validation of open-source software for DNA mixture interpretation based on a quantitative continuous model.PMID 29149210Read ↗

Development and validation of Kongoh ver. 3.0.1: Open-source software for DNA mixture interpretation in the GlobalFiler system based on a quantitative continuous model.Semantic proximity Read ↗

NOCIt: a computational method to infer the number of contributors to DNA samples analyzed by STR genotyping.Semantic proximity Read ↗

Facilitating complex DNA mixture interpretation by sequencing highly polymorphic haplotypes.Semantic proximity Read ↗

A continuous model for interpreting microhaplotype profiles of forensic DNA mixtures.Semantic proximity Read ↗

A New Computational Deconvolution Algorithm for the Analysis of Forensic DNA Mixtures with SNP Markers.Semantic proximity Read ↗

Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversitySemantic proximity Read ↗

Internal Validation of MaSTR™ Probabilistic Genotyping Software for the Interpretation of 2-5 Person Mixed DNA Profiles.Semantic proximity Read ↗

Improving DNA mixtures analysis using compound markers composed of InDels and SNPs screened from the whole genome with next-generation sequencing.Semantic proximity Read ↗

Two-person DNA mixture interpretation based on a novel set of SNP-STR markers.Semantic proximity Read ↗

A mixture detection method based on separate amplification using primer specific alleles of INDELs-a study based on two person's DNA mixture.Semantic proximity Read ↗

Evaluating forensic DNA mixtures with contributors of different structured ethnic origins: a computer software.Semantic proximity Read ↗

A novel computational strategy to predict the value of the evidence in the SNP-based forensic mixtures.Semantic proximity Read ↗

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