Penelope Duerken-Hughes
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Unknown Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Penelope Duerken-Hughes' research focuses on the development and application of reference standards for benchmarking cancer mutation detection using whole-genome sequencing. She has co-authored a publication in 2021 that established community reference samples, data, and call sets for this purpose. Duerken-Hughes collaborates with Weida Tong at the National Center for Toxicological Research, with whom she shares multiple publications. Her work contributes to improving the accuracy and reliability of genomic analyses in cancer research.
Metrics
- h-index: 2
- Publications: 2
- Citations: 147
Selected Publications
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Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing (2021)
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Establishing reference samples for detection of somatic mutations and germline variants with NGS technologies (2019)
Collaboration Network
Top Collaborators
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
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